https://scienceofscience.org/publications/feed.xml Research records from 2008 onward. Entry updates describe catalog updates; publication dates are stated in each record. 2026-09-07T23:57:57+00:00 SOS+CD Lab https://scienceofscience.org/publications/#meguimtsop2026sciintbench 2026-09-07T23:57:57+00:00 2026-05-28T00:00:00+00:00 Almene De Meran MeguimtsopMaria Leonor PachecoDaniel E. Acuna

2026 · Preprint / working paper. arXiv preprint arXiv:2605.29468. SciIntBench evaluates how language models respond to scientific requests framed as explicit misconduct, covert misconduct, or legitimate work. It measures both refusal of problematic requests and helpfulness on benign ones.

https://scienceofscience.org/publications/#taechoyotin2026remctx 2026-09-07T23:57:57+00:00 2026-03-31T00:00:00+00:00 Pawin TaechoyotinDaniel E. Acuna

2026 · Preprint / working paper. arXiv preprint arXiv:2604.00248. REM-CTX extends review generation beyond manuscript text. It trains a language model to use auxiliary context and tests whether explicit correspondence rewards improve the grounding of generated reviews.

https://scienceofscience.org/publications/#zhou2026widespread 2026-09-07T23:57:57+00:00 Huaxia ZhouLizhen LiangDaniel E. Acuna

2026. Quantitative Science Studies. Huaxia Zhou, Lizhen Liang, Daniel E. Acuna (2026). Widespread reference missingness disparities in open scholarly metadata. Quantitative Science Studies. https://doi.org/10.1162/qss.a.400

https://scienceofscience.org/publications/#popp2026government 2026-09-07T23:57:57+00:00 David PoppMyriam Gregoire-ZawilskiLizhen LiangDaniel E. Acuna

2026 · Preprint / working paper. NBER Working Paper No. 34856. David Popp, Myriam Gregoire-Zawilski, Lizhen Liang, Daniel E. Acuna (2026). Government Funding and the Direction of Academic Energy Research. NBER Working Paper No. 34856. https://doi.org/10.3386/w34856

https://scienceofscience.org/publications/#kusumegi2026dissecting 2026-09-07T23:57:57+00:00 Keigo KusumegiDaniel E. AcunaYukie Sano

2026. Scientometrics. Keigo Kusumegi, Daniel E. Acuna, Yukie Sano (2026). Dissecting the gender divide: authorship and acknowledgment in scientific publications. Scientometrics. https://doi.org/10.1007/s11192-026-05712-z

https://scienceofscience.org/publications/#xu2026beyond 2026-09-07T23:57:57+00:00 Huimin XuShujing SunMeijun LiuChenwei ZhangYi BuYi ZhangDaniel E. AcunaEric MeyerYing Ding

2026. Journal of the Association for Information Science and Technology. Huimin Xu, Shujing Sun, Meijun Liu, Chenwei Zhang, Yi Bu, Yi Zhang, Daniel E. Acuna, Eric Meyer, Ying Ding (2026). Beyond a number game: Flat team structures improve inclusion and performance in diverse scientific teams. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.70083

https://scienceofscience.org/publications/#abatayo2026credibility 2026-09-07T23:57:57+00:00 Anna Lou AbatayoTitipat AchakulvisutDaniel AcunaBalazs AczelLaxmaan BalajiAnita BandrowskiDaniel M BenjaminMichael M BishopGary L BraseAndrew W BrownMartin BushJames CaverleeTatiana ChakravortiYiling ChenMacie DaleyMorteza DehghaniMirka DirzoAnna DreberPeter EckmannTimothy M ErringtonQizhang FengFiona FidlerSamuel FieldNicholas W FoxRobert D FraleighAaron FrankHannah FraserJames GentileC L GilesBrandon GoldfedderPhil GoochMichael GordonElliot GouldChristopher GriffinTimothy GuldenNoah HaberKrystal HahnFelix HolzmeisterXia B HuYuzhong HuangMagnus JohannessonBrendan KennedyMelissa Kline StruhlAnthony KwasnicaDong-Ho LeeKristina LermanYang LiuAllegra PearceIsabella MandemaAlexandru MarcociBrinna MawhinneySouad McIntoshMichael MclaughlinArjun MenonOlivia MiskeFallon ModyFred MorstatterNishanth S NakshatriBrian A NosekMichele B NuijtenDavid PennockThomas PfeifferDarien PipkinJay PujaraSarah RajtmajerMartijn RoelandseAdam RussellPriya SilversteinVaibhav SinghCourtney K SoderbergAnna M SquicciariniTheresa StankovJordan W SuchowBarnabas SzasziLouisa TranPeter A VeskTim VinesColby J VorlandJuntao WangZhuoer WangDavid P WilkinsonBonnie WintleJian Wu

2026 · Preprint / working paper. MetaArXiv. Anna Lou Abatayo, Titipat Achakulvisut, Daniel Acuna, Balazs Aczel, Laxmaan Balaji, Anita Bandrowski, Daniel M Benjamin, Michael M Bishop, Gary L Brase, Andrew W Brown, Martin Bush, James Caverlee, Tatiana Chakravorti, Yiling Chen, Macie Daley, Morteza Dehghani, Mirka Dirzo, Anna Dreber, Peter Eckmann, Timothy M Errington, Qizhang Feng, Fiona Fidler, Samuel Field, Nicholas W Fox, Robert D Fraleigh, Aaron Frank, Hannah Fraser, James Gentile, C L Giles, Brandon Goldfedder, Phil Gooch, Michael Gordon, Elliot Gould, Christopher Griffin, Timothy Gulden, Noah Haber, Krystal Hahn, Felix Holzmeister, Xia B Hu, Yuzhong Huang, Magnus Johannesson, Brendan Kennedy, Melissa Kline Struhl, Anthony Kwasnica, Dong-Ho Lee, Kristina Lerman, Yang Liu, Allegra Pearce, Isabella Mandema, Alexandru Marcoci, Brinna Mawhinney, Souad McIntosh, Michael Mclaughlin, Arjun Menon, Olivia Miske, Fallon Mody, Fred Morstatter, Nishanth S Nakshatri, Brian A Nosek, Michele B Nuijten, David Pennock, Thomas Pfeiffer, Darien Pipkin, Jay Pujara, Sarah Rajtmajer, Martijn Roelandse, Adam Russell, Priya Silverstein, Vaibhav Singh, Courtney K Soderberg, Anna M Squicciarini, Theresa Stankov, Jordan W Suchow, Barnabas Szaszi, Louisa Tran, Peter A Vesk, Tim Vines, Colby J Vorland, Juntao Wang, Zhuoer Wang, David P Wilkinson, Bonnie Wintle, Jian Wu (2026). Assessments of Credibility in the Social and Behavioral Sciences. MetaArXiv.

https://scienceofscience.org/publications/#zhuang2025estimating 2026-09-07T23:57:57+00:00 2025-08-27T00:00:00+00:00 Han ZhuangLizhen LiangDaniel E. Acuna

2025. Science Advances. This study evaluates whether journal websites and publication metadata can support large-scale screening for questionable open-access journals. It treats automated predictions as a way to focus expert investigation.

https://scienceofscience.org/publications/#acuna2022predicting 2026-09-07T23:57:57+00:00 2025-05-22T00:00:00+00:00 Daniel E. AcunaJian JianTong ZengLizhen LiangHan Zhuang

2025. Humanities and Social Sciences Communications. Code and data links can stop working long after a paper is published. This study examines which features of a resource, its host, and its associated publication help explain and predict its availability over time.

https://scienceofscience.org/publications/#taechoyotin2025remor 2026-09-07T23:57:57+00:00 2025-05-16T00:00:00+00:00 Pawin TaechoyotinDaniel E. Acuna

2025 · Preprint / working paper. arXiv preprint arXiv:2505.11718. REMOR studies review generation with a reasoning language model and rewards for multiple aspects of review quality. It compares different reward designs and examines how training changes the feedback produced.

https://scienceofscience.org/publications/#zhou2022paraphrase 2026-09-07T23:57:57+00:00 Chao ZhouCheng QiuLizhen LiangDaniel E. Acuna

2025. IEEE Access. Chao Zhou, Cheng Qiu, Lizhen Liang, Daniel E. Acuna (2025). Paraphrase Identification with Deep Learning: A Review of Datasets and Methods. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3556899

https://scienceofscience.org/publications/#XU2024103542 2026-09-07T23:57:57+00:00 Huimin XuMeijun LiuYi BuShujing SunYi ZhangChenwei ZhangDaniel E. AcunaSteven GrayEric MeyerYing Ding

2024. Information Processing & Management. Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric Meyer, Ying Ding (2024). The impact of heterogeneous shared leadership in scientific teams. Information Processing & Management. https://doi.org/10.1016/j.ipm.2023.103542

https://scienceofscience.org/publications/#liang2024complementary 2026-09-07T23:57:57+00:00 Lizhen LiangHan ZhuangJames ZouDaniel E. Acuna

2024 · Preprint / working paper. arXiv preprint arXiv:2401.10268. Lizhen Liang, Han Zhuang, James Zou, Daniel E. Acuna (2024). The complementary contributions of academia and industry to AI research. arXiv preprint arXiv:2401.10268.

https://scienceofscience.org/publications/#novoa2024science 2026-09-07T23:57:57+00:00 Elizabeth Novoa-MonsalveDavid PattersonStephanie LudiDaniel E Acuna

2024. Communications of the ACM. Elizabeth Novoa-Monsalve, David Patterson, Stephanie Ludi, Daniel E Acuna (2024). Science Needs You: Mobilizing for Diversity in Award Recognition. Communications of the ACM.

https://scienceofscience.org/publications/#Bibal2024 2026-09-07T23:57:57+00:00 Adrien BibalNourah M. SalemRémi CardonElizabeth K. WhiteDaniel E. AcunaRobin BurkeLawrence E. Hunter

2024. Journal of Biomedical Semantics. Adrien Bibal, Nourah M. Salem, Rémi Cardon, Elizabeth K. White, Daniel E. Acuna, Robin Burke, Lawrence E. Hunter (2024). RecSOI: recommending research directions using statements of ignorance. Journal of Biomedical Semantics. https://doi.org/10.1186/s13326-024-00304-3

https://scienceofscience.org/publications/#taechoyotin2024misti 2026-09-07T23:57:57+00:00 Pawin TaechoyotinDaniel Acuna

2024. Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024). MISTI learns joint representations of scientific figures, captions, and publication metadata. The study tests whether contextual information such as titles, sections, and concepts improves retrieval beyond the image-caption pair alone.

https://scienceofscience.org/publications/#taechoyotin2024mamorx 2026-09-07T23:57:57+00:00 Pawin TaechoyotinGuanchao WangTong ZengBradley SidesDaniel E. Acuna

2024. NeurIPS 2024 Workshop on Foundation Models for Science: Progress, Opportunities, and Challenges. Pawin Taechoyotin, Guanchao Wang, Tong Zeng, Bradley Sides, Daniel E. Acuna (2024). MAMORX: Multi-agent Multi-modal Scientific Review Generation with External Knowledge. NeurIPS 2024 Workshop on Foundation Models for Science: Progress, Opportunities, and Challenges.

https://scienceofscience.org/publications/#10.1162/qss_a_00332 2026-09-07T23:57:57+00:00 Han ZhuangDaniel E. Acuna

2024. Quantitative Science Studies. A study's chance of being correct is only one part of deciding whether a research program is worth pursuing. This paper develops a decision-theoretic framework that makes potential costs and benefits explicit.

https://scienceofscience.org/publications/#varasteh2024comparative 2026-09-07T23:57:57+00:00 Meysam VarastehElizabeth McKinnieAmanda AirdDaniel E. AcunaRobin Burke

2024. Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2024), co-located with RecSys 2024. Meysam Varasteh, Elizabeth McKinnie, Amanda Aird, Daniel E. Acuna, Robin Burke (2024). Comparative Explanations for Recommendation: Research Directions. Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2024), co-located with RecSys 2024.

https://scienceofscience.org/publications/#leto2024first 2026-09-07T23:57:57+00:00 Alexandria LetoShamik RoyAlexander HoyleDaniel AcunaMaría Leonor Pacheco

2024. Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+ CSS 2024). Alexandria Leto, Shamik Roy, Alexander Hoyle, Daniel Acuna, María Leonor Pacheco (2024). A First Step towards Measuring Interdisciplinary Engagement in Scientific Publications: A Case Study on NLP+ CSS Research. Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+ CSS 2024).

https://scienceofscience.org/publications/#zhuang2023computational 2026-09-07T23:57:57+00:00 Han ZhuangTzu-Yang HuangDaniel E Acuna

2023. EPJ Data Science. Han Zhuang, Tzu-Yang Huang, Daniel E Acuna (2023). A computational analysis of accessibility, readability, and explainability of figures in open access publications. EPJ Data Science.

https://scienceofscience.org/publications/#acuna2022 2026-09-07T23:57:57+00:00 2022-12-12T00:00:00+00:00 D E AcunaM TeplitskiyJ. EvansK. Kording

2022. PLOS ONE. This study examines the association between author-suggested reviewers and peer-review outcomes. It uses records from the neuroscience section of PLOS ONE to compare reviewer invitations, evaluations, and acceptance outcomes.

https://scienceofscience.org/publications/#keacuna2022 2026-09-07T23:57:57+00:00 2022-08-02T00:00:00+00:00 Q. KeL. LiangY. DingS V DavidD E Acuna

2022. Scientific Data. This data descriptor introduces a resource linking academic mentorship relationships to publication records, research representations, and demographic estimates. It is designed to support analysis of mentorship and scientific careers.

https://scienceofscience.org/publications/#liu2022team 2026-09-07T23:57:57+00:00 Meijun LiuAjay JaiswalYi BuChao MinSijie YangZhibo LiuDaniel AcuñaYing Ding

2022. Journal of Informetrics. Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Acuña, Ying Ding (2022). Team formation and team impact: The balance between team freshness and repeat collaboration. Journal of Informetrics. https://doi.org/10.1016/j.joi.2022.101337

https://scienceofscience.org/publications/#acunaiconference2022 2026-09-07T23:57:57+00:00 Daniel E. AcunaZijun YiLizhen LiangHan Zhuang

2022. International Conference on Information. Daniel E. Acuna, Zijun Yi, Lizhen Liang, Han Zhuang (2022). Predicting the usage of scientific datasets based on article, author, institution, and journal bibliometrics. International Conference on Information. https://doi.org/10.1007/978-3-030-96957-8_5

https://scienceofscience.org/publications/#bu2022workshop 2026-09-07T23:57:57+00:00 Yi BuMeijun LiuYujia ZhaiYing DingFeng XiaDaniel E. AcuñaYi Zhang

2022 · Workshop announcement. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang (2022). International Workshop on Data-driven Science of Science. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/3534678.3542891

https://scienceofscience.org/publications/#zhuangacuna2021 2026-09-07T23:57:57+00:00 2021-12-13T00:00:00+00:00 Han ZhuangTzu-Yang HuangDaniel Ernesto Acuna

2021. PloS Computational Biology. This study examines violations of the proportional ink principle: the amount of visual ink representing a value should agree with that value. It develops an automated method for detecting these inconsistencies in scientific bar charts.

https://scienceofscience.org/publications/#acuna2021mlworkshop 2026-09-07T23:57:57+00:00 Daniel E. AcunaTong ZengHan ZhuangLizhen Liang

2021 · Workshop description. iConference 2021 workshop. Daniel E. Acuna, Tong Zeng, Han Zhuang, Lizhen Liang (2021). Machine Learning and Artificial Intelligence for Science of Science and Computational Discovery: Principles, Applications, and Future Opportunities. iConference 2021 workshop.

https://scienceofscience.org/publications/#acuna2021eileen 2026-09-07T23:57:57+00:00 Daniel E. AcunaKartik NagrePriya Matnani

2021 · Preprint / working paper. arXiv:2110.09663. Daniel E. Acuna, Kartik Nagre, Priya Matnani (2021). EILEEN: A recommendation system for scientific publications and grants. arXiv:2110.09663. https://doi.org/10.48550/arXiv.2110.09663

https://scienceofscience.org/publications/#10.1145/3461702.3462616 2026-09-07T23:57:57+00:00 Daniel E. AcunaLizhen Liang

2021. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. Daniel E. Acuna, Lizhen Liang (2021). Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences?. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. https://doi.org/10.1145/3461702.3462616

https://scienceofscience.org/publications/#zengacuna2020 2026-09-07T23:57:57+00:00 2020-07-17T00:00:00+00:00 Tong ZengDaniel E Acuna

2020. International Conference on Computational Social Science. Names alone are unreliable identifiers: different people can share a name, and one person's name can appear in several forms. This work investigates a scalable approach to author-name disambiguation using approximate network structures.

https://scienceofscience.org/publications/#acuna2020nullmodel 2026-09-07T23:57:57+00:00 2020-02-22T00:00:00+00:00 Daniel E. AcunaZiyue Xiang

2020 · Preprint / working paper. arXiv:2003.00878. Image similarities need a reference point: a repeated pattern might be rare, or it might be common in scientific imagery. This preprint develops a statistical baseline for estimating how often a feature could occur by chance.

https://scienceofscience.org/publications/#xiang2020tampering 2026-09-07T23:57:57+00:00 2020-01-21T00:00:00+00:00 Ziyue XiangDaniel E. Acuna

2020 · Preprint / working paper. arXiv:2001.07799. Scientific images have different properties from everyday photographs. This preprint develops a detector tailored to scientific imagery and tests whether inconsistencies in image noise can reveal manipulated regions.

https://scienceofscience.org/publications/#achakulvisut2020neuromatch 2026-09-07T23:57:57+00:00 Titipat AchakulvisutTulakan RuangrongDaniel Ernesto AcunaBrad WybleDan GoodmanKonrad Kording

2020 · Web article. eLife Labs. Titipat Achakulvisut, Tulakan Ruangrong, Daniel Ernesto Acuna, Brad Wyble, Dan Goodman, Konrad Kording (2020). neuromatch: Algorithms to match scientists. eLife Labs.

https://scienceofscience.org/publications/#acuna2020mentorshipcommentary 2026-09-07T23:57:57+00:00 Daniel Ernesto Acuna

2020 · Archived preprint. OSF Preprints. Daniel Ernesto Acuna (2020). Some considerations for studying gender, mentorship, and scientific impact: commentary on AlShebli, Makovi, and Rahwan (2020). OSF Preprints. https://doi.org/10.31219/osf.io/ybfk6

https://scienceofscience.org/publications/#jas2020pyglmnet 2026-09-07T23:57:57+00:00 Mainak JasTitipat AchakulvisutAid IdrizovićDaniel Ernesto AcunaMatthew AntalekVinicius MarquesTommy OdlandRavi Prakash GargMayank AgrawalYu Umegakiothers

2020. Journal of Open Source Software. Mainak Jas, Titipat Achakulvisut, Aid Idrizović, Daniel Ernesto Acuna, Matthew Antalek, Vinicius Marques, Tommy Odland, Ravi Prakash Garg, Mayank Agrawal, Yu Umegaki, others (2020). Pyglmnet: Python implementation of elastic-net regularized generalized linear models. Journal of Open Source Software.

https://scienceofscience.org/publications/#achakulvisut2020pubmed 2026-09-07T23:57:57+00:00 Titipat AchakulvisutDaniel E AcunaKonrad Kording

2020. Journal of Open Source Software. Titipat Achakulvisut, Daniel E Acuna, Konrad Kording (2020). Pubmed parser: a python parser for pubmed open-access XML subset and MEDLINE XML dataset XML dataset. Journal of Open Source Software.

https://scienceofscience.org/publications/#zeng2020modeling 2026-09-07T23:57:57+00:00 Tong ZengDaniel E Acuna

2020. Scientometrics. Tong Zeng, Daniel E Acuna (2020). Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. Scientometrics.

https://scienceofscience.org/publications/#zeng2020gotfunding 2026-09-07T23:57:57+00:00 Tong ZengDaniel E Acuna

2020. Proceedings of the Association for Information Science and Technology. Tong Zeng, Daniel E Acuna (2020). GotFunding: A grant recommendation system based on scientific articles. Proceedings of the Association for Information Science and Technology.

https://scienceofscience.org/publications/#zeng2020finding 2026-09-07T23:57:57+00:00 Tong ZengDaniel E Acuna

2020. Rich Search and Discovery for Research Datasets. Tong Zeng, Daniel E Acuna (2020). Finding datasets in publications: the Syracuse University approach. Rich Search and Discovery for Research Datasets. https://doi.org/10.5281/zenodo.4402304

https://scienceofscience.org/publications/#liang2020don 2026-09-07T23:57:57+00:00 Lizhen LiangDaniel E Acuna

2020. Proceedings of the Association for Information Science and Technology. Lizhen Liang, Daniel E Acuna (2020). Don’t judge a journal by its cover?: Appearance of a Journal’s website as predictor of blacklisted Open-Access status. Proceedings of the Association for Information Science and Technology.

https://scienceofscience.org/publications/#zeng2020assigning 2026-09-07T23:57:57+00:00 Tong ZengLongfeng WuSarah BrattDaniel E Acuna

2020. Journal of Informetrics. Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E Acuna (2020). Assigning credit to scientific datasets using article citation networks. Journal of Informetrics.

https://scienceofscience.org/publications/#liang2020artificial 2026-09-07T23:57:57+00:00 Lizhen LiangDaniel E Acuna

2020. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. Lizhen Liang, Daniel E Acuna (2020). Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency.

https://scienceofscience.org/publications/#liangacuna2020 2026-09-07T23:57:57+00:00 Lizhen LiangDaniel E Acuna

2020. International Conference on Computational Social Science. Lizhen Liang, Daniel E Acuna (2020). Are author, affiliation, and citation networks predictive of a journal getting blacklisted?. International Conference on Computational Social Science.

https://scienceofscience.org/publications/#zhuangacuna2020 2026-09-07T23:57:57+00:00 Han ZhuangDaniel E Acuna

2020. International Conference on Computational Social Science. Han Zhuang, Daniel E Acuna (2020). An Automatic Misleading Graph Detection Tool. International Conference on Computational Social Science.

https://scienceofscience.org/publications/#zhuang2019novelty 2026-09-07T23:57:57+00:00 Han ZhuangDaniel E. Acuna

2019 · Preprint / working paper. arXiv:1911.02712. Han Zhuang, Daniel E. Acuna (2019). The effect of novelty on the future impact of scientific grants. arXiv:1911.02712. https://doi.org/10.48550/arXiv.1911.02712

https://scienceofscience.org/publications/#lee2019limiting 2026-09-07T23:57:57+00:00 Taraz G LeeDaniel E AcunaKonrad P KordingScott T Grafton

2019. Psychonomic bulletin & review. Taraz G Lee, Daniel E Acuna, Konrad P Kording, Scott T Grafton (2019). Limiting motor skill knowledge via incidental training protects against choking under pressure. Psychonomic bulletin & review.

https://scienceofscience.org/publications/#zeng2019dead 2026-09-07T23:57:57+00:00 Tong ZengAlain ShemaDaniel E Acuna

2019. International Conference on Information. Tong Zeng, Alain Shema, Daniel E Acuna (2019). Dead science: Most resources linked in biomedical articles disappear in eight years. International Conference on Information.

https://scienceofscience.org/publications/#achakulvisut2019claim 2026-09-07T23:57:57+00:00 Titipat AchakulvisutChandra BhagavatulaDaniel AcunaKonrad Kording

2019 · Preprint / working paper. arXiv:1907.00962. Titipat Achakulvisut, Chandra Bhagavatula, Daniel Acuna, Konrad Kording (2019). Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. arXiv:1907.00962. https://doi.org/10.48550/arXiv.1907.00962

https://scienceofscience.org/publications/#lienard2018intellectual 2026-09-07T23:57:57+00:00 2018-11-27T00:00:00+00:00 Jean F LiénardTitipat AchakulvisutDaniel E AcunaStephen V David

2018. Nature communications. This observational study examines how graduate and postdoctoral mentorship relate to later academic careers. It asks whether combining ideas from mentors with different expertise predicts a trainee's subsequent success.

https://scienceofscience.org/publications/#teplitskiy2018sociology 2026-09-07T23:57:57+00:00 Misha TeplitskiyDaniel AcunaAı̈da Elamrani-RaoultKonrad KördingJames Evans

2018. Research Policy. Misha Teplitskiy, Daniel Acuna, Aı̈da Elamrani-Raoult, Konrad Körding, James Evans (2018). The sociology of scientific validity: How professional networks shape judgement in peer review. Research Policy.

https://scienceofscience.org/publications/#acuna2018bioscience 2026-09-07T23:57:57+00:00 Daniel E AcunaPaul S BrookesKonrad P Kording

2018 · Preprint / working paper. BioRxiv. Daniel E Acuna, Paul S Brookes, Konrad P Kording (2018). Bioscience-scale automated detection of figure element reuse. BioRxiv.

https://scienceofscience.org/publications/#shema2017show 2026-09-07T23:57:57+00:00 Alain ShemaDaniel E Acuna

2017. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Alain Shema, Daniel E Acuna (2017). Show Me Your App Usage and I Will Tell Who Your Close Friends Are: Predicting User’s Context from Simple Cellphone Activity. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems.

https://scienceofscience.org/publications/#achakulvisut2016science 2026-09-07T23:57:57+00:00 Titipat AchakulvisutDaniel E AcunaTulakan RuangrongKonrad Kording

2016. PloS ONE. Titipat Achakulvisut, Daniel E Acuna, Tulakan Ruangrong, Konrad Kording (2016). Science Concierge: A fast content-based recommendation system for scientific publications. PloS ONE.

https://scienceofscience.org/publications/#ramkumar2016chunking 2026-09-07T23:57:57+00:00 Pavan RamkumarDaniel E AcunaMax BernikerScott T GraftonRobert S TurnerKonrad P Kording

2016. Nature communications. Pavan Ramkumar, Daniel E Acuna, Max Berniker, Scott T Grafton, Robert S Turner, Konrad P Kording (2016). Chunking as the result of an efficiency computation trade-off. Nature communications.

https://scienceofscience.org/publications/#ethier2016adaptive 2026-09-07T23:57:57+00:00 Christian EthierDaniel AcunaSara A SollaLee E Miller

2016. Journal of neural engineering. Christian Ethier, Daniel Acuna, Sara A Solla, Lee E Miller (2016). Adaptive neuron-to-EMG decoder training for FES neuroprostheses. Journal of neural engineering.

https://scienceofscience.org/publications/#acuna2015using 2026-09-07T23:57:57+00:00 Daniel E AcunaMax BernikerHugo L FernandesKonrad P Kording

2015. Journal of vision. Daniel E Acuna, Max Berniker, Hugo L Fernandes, Konrad P Kording (2015). Using psychophysics to ask if the brain samples or maximizes. Journal of vision.

https://scienceofscience.org/publications/#lancichinetti2015topic 2026-09-07T23:57:57+00:00 Andrea LancichinettiM. Irmak SirerJane X. WangDaniel AcunaKonrad KördingLuís A. Nunes Amaral

2015. Physical Review X. Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel Acuna, Konrad Körding, Luís A. Nunes Amaral (2015). High-Reproducibility and High-Accuracy Method for Automated Topic Classification. Physical Review X. https://doi.org/10.1103/PhysRevX.5.011007

https://scienceofscience.org/publications/#acuna2014multifaceted 2026-09-07T23:57:57+00:00 Daniel E AcunaNicholas F WymbsChelsea A ReynoldsNathalie PicardRobert S TurnerPeter L StrickScott T GraftonKonrad P Kording

2014. Journal of neurophysiology. Daniel E Acuna, Nicholas F Wymbs, Chelsea A Reynolds, Nathalie Picard, Robert S Turner, Peter L Strick, Scott T Grafton, Konrad P Kording (2014). Multifaceted aspects of chunking enable robust algorithms. Journal of neurophysiology.

https://scienceofscience.org/publications/#acuna2013future 2026-09-07T23:57:57+00:00 Daniel E AcunaOrion PennerColin G Orton

2013. Medical Physics. Daniel E Acuna, Orion Penner, Colin G Orton (2013). The future h-index is an excellent way to predict scientistsˈ future impact. Medical Physics.

https://scienceofscience.org/publications/#avraham2012toward 2026-09-07T23:57:57+00:00 Guy AvrahamIlana NiskyHugo L FernandesDaniel E AcunaKonrad P KordingGerald E LoebAmir Karniel

2012. IEEE Transactions on Haptics. Guy Avraham, Ilana Nisky, Hugo L Fernandes, Daniel E Acuna, Konrad P Kording, Gerald E Loeb, Amir Karniel (2012). Toward perceiving robots as humans: Three handshake models face the turing-like handshake test. IEEE Transactions on Haptics.

https://scienceofscience.org/publications/#acuna2012predicting 2026-09-07T23:57:57+00:00 Daniel E AcunaStefano AllesinaKonrad P Kording

2012. Nature. Daniel E Acuna, Stefano Allesina, Konrad P Kording (2012). Predicting scientific success. Nature.

https://scienceofscience.org/publications/#acuna2011rational 2026-09-07T23:57:57+00:00 Daniel Ernesto Acuna

2011. University of Minnesota. Daniel Ernesto Acuna (2011). Rational Bayesian Analysis of Sequential Decision-Making Under Uncertainty In Humans and Machines. University of Minnesota.

https://scienceofscience.org/publications/#acuna2010structure 2026-09-07T23:57:57+00:00 2010-12-02T00:00:00+00:00 Daniel E AcunaPaul Schrater

2010. PLoS computational biology. Behavior that looks inefficient under a fixed model can make sense when a person is also learning how the environment works. This study connects human choices in sequential reward tasks with Bayesian models that learn both rewards and the structure that generates them.

https://scienceofscience.org/publications/#acuna2010aspiration 2026-09-07T23:57:57+00:00 Daniel AcunaC. Shawn GreenPaul Schrater

2010 · Conference abstract. Computational and Systems Neuroscience 2010. Daniel Acuna, C. Shawn Green, Paul Schrater (2010). The rational control of aspiration in learning. Computational and Systems Neuroscience 2010. https://doi.org/10.3389/conf.fnins.2010.03.00169

https://scienceofscience.org/publications/#acuna2010people 2026-09-07T23:57:57+00:00 Daniel E AcunaVíctor Parada

2010. PloS ONE. Daniel E Acuna, Víctor Parada (2010). People efficiently explore the solution space of the computationally intractable traveling salesman problem to find near-optimal tours. PloS ONE.

https://scienceofscience.org/publications/#schrater2009structure 2026-09-07T23:57:57+00:00 Paul SchraterDaniel Acuna

2009 · Conference abstract. Journal of Vision: Vision Sciences Society Annual Meeting Abstracts. Paul Schrater, Daniel Acuna (2009). Structure learning in sequential decision making. Journal of Vision: Vision Sciences Society Annual Meeting Abstracts.

https://scienceofscience.org/publications/#acuna2009improving 2026-09-07T23:57:57+00:00 Daniel E AcunaPaul Schrater

2009. Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning. Daniel E Acuna, Paul Schrater (2009). Improving bayesian reinforcement learning using transition abstraction. Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning.

https://scienceofscience.org/publications/#acuna2008structure 2026-09-07T23:57:57+00:00 Daniel E AcunaPaul Schrater

2008. Proceedings of the 21st International Conference on Neural Information Processing Systems. Daniel E Acuna, Paul Schrater (2008). Structure learning in human sequential decision-making. Proceedings of the 21st International Conference on Neural Information Processing Systems.

https://scienceofscience.org/publications/#acuna2008bayesian 2026-09-07T23:57:57+00:00 Daniel Ernesto AcunaPaul Schrater

2008. Proceedings of the 30th annual conference of the cognitive science society. Daniel Ernesto Acuna, Paul Schrater (2008). Bayesian modeling of human sequential decision-making on the multi-armed bandit problem. Proceedings of the 30th annual conference of the cognitive science society.