Under review

  • Ke, Q., Liang, L., Ding, Y., David, SV., Acuna, DE, A dataset of mentorship in science with semantic and demographic estimations, pre-print
  • Zhuang, H., Huang, TY, Acuna, DE, Graphical integrity issues in open access publications: detection and patterns of proportional ink violations
  • Acuna, DE, Xiang, Z., Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations pre-print
  • Xiang, Z., Acuna, DE, Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets, pre-print
  • Zhuang, H., Acuna, DE, The effect of novelty on the future impact of scientific grants, pre-print



  • Acuna, D. E., Liang, L. (2021). Are AI ethics conferences different and more diverse compared to traditional computer science conferences? AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 2021, Preprint


  • Zeng, T., & Acuna, D. E. (2020). GotFunding: A Grant Recommendation System Based on Scientific Articles. Proceedings of the 83rd Annual Meeting of the Association for Information Science and Technology.

  • Zeng, T., & Acuna, D. E. (2020). Large-Scale Author-Name Disambiguation Using Approximate Network Structures. In 6th International Conference on Computational Social Science. Cambridge, MA USA, 2020.

  • Liang, L., Acuna, DE, (2020), Don’t Judge a Journal by its Cover? Appearance of a Journal’s Website as Predictor of Blacklisted Open-Access Status, In Association for Information Science and Technology, Maryland, USA

  • Liang, L., Acuna, DE, (2020), Are author, affiliation, and citation networks predictive of a journal getting blacklisted?, In International Conference on Computational Social Science, Cambridge, MA, USA

  • Zhuang, H., & Acuna, DE. (2020), An Automatic Misleading Graph Detection Tool, In International Conference on Computational Social Science, Cambridge, MA, USA

  • Zeng, T., Acuna, D.E. (2020), Modeling citation worthiness by using attention-based Bidirectional Long Short-Term Memory networks and interpretable models, Scientometrics, Scientometrics, 124(1), 399–428.
  • Jas, M., Achakulvisut, T., Idrizović, A., Acuna, DE, Antalek, M., Marques, V., Odland, T., Garg, R., Agrawal, M., Umegaki, Y., Foley, P., Fernandes, H., Harris, D., Li, B., Pieters, O., Otterson, S.,De Toni, G., Rodgers, C. , Dyer, E., Hamalainen, M., Kording, K., Ramkumar, P. (2020) Pyglmnet: Python implementation of elastic-net regularized generalized linear models Journal of Open Source Software, 5(47), 1959,

  • Achakulvisut, T., Acuna, DE, Kording, K. (2020) Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset, Journal of Open Source Software, 5(46), 1979,

  • Zeng, T., Wu, L., Bratt, S., Acuna, D.E., (2020) Assigning credit to scientific datasets using article citation networks, Journal of Informetrics, 14(2), 101013. [Link]

  • Liang., L., Acuna, DE (2020) Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models In Conference on Fairness, Accountability, and Transparency (FAT* ’20), January 27–30, 2020, Barcelona, Spain. ACM, New York, NY, USA, 10 pages.
  • Zeng, T., Acuna, DE (2020) Dataset mention extraction in scientific articles using a BiLSTM-CRF model Chapter 11 in Julia I. Lane, Ian Mulvany, and Paco Nathan (Ed.), Rich Search and Discovery for Research Datasets: Building the next generation of scholarly infrastructure, New York, ePub


  • Zeng, T., Shema, A., & Acuna, D.E. (2019) Dead science: most resources linked in scientific articles disappear in eight years, iConference 2019. Lecture Notes in Computer Science, vol 11420. Springer, Cham

  • Taraz G. Lee, Acuna, DE, K. P., Grafton, S. T. (2019) Limiting motor skill knowledge via incidental training protects against choking under pressure, Psychonomic Bulletin & Review Link


  • Líenard, JF, Achakulvisut, T, Acuna, DE, David, SV, Intellectual Synthesis in Mentorship Determines Success in Academic Careers, Nature Communications, Link (press release in Nature Asia)

  • Teplitskiy, M, Acuna, DE, Elamrani-Raoult, A, Körding, K, Evans, J (2018) The sociology of scientific validity: How professional networks shape judgement in peer review, Research Policy Link

  • Acuna, DE, Brooks, P, Kording, P (2018) Bioscience-scale automated detection of figure element reuse (2018) BioArXiv, Link Preprint


  • Shema, A, Acuna, DE (2017) Show Me Your App Usage and I Will Tell Who Your Close Friends Are: Predicting User’s Context from Simple Cellphone Activity, CHI 2017, Pages 2929-2935, Denver, Colorado Link


  • Achakulvisut T, Acuna DE, Ruangrong T, Kording K (2016) Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications. PLoS ONE 11(7): e0158423. doi:10.1371/journal.pone.0158423 Link
  • Ethier, C, Acuna, DE, Solla, S, Miller, L (2016)Adaptive neuron-to-EMG decoder training for FES neuroprostheses, Journal of Neural Engineering Link
  • Ramkumar P, Acuna DE, Berniker M, Grafton S, Turner RS, Körding KP (2016) Chunking as the result of an efficiency–computation tradeoff. Nature Communications Link


  • Acuna, DE, Berniker, M, Fernandes, H, Kording, K, (2015) Using psychophysics to ask if the brain samples or maximizes, Journal of Vision Link


  • Acuna, DE, Wymbs, Nicholas F., Reynolds, Chelsea A., Picard, Nathalie, Turner, Robert S., Strick, Peter L., Grafton, Scott T., Kording, Konrad P. (2014) Multi-faceted aspects of chunking enable robust algorithms, Journal of Neurophysiology, Link, code


  • Acuna, DE, Penner, Orion, Orton CG, (2013) The future h-index is an excellent way to predict scientists’ future impact, Med. Phys. 40, 110601 (Link)


  • Acuna, DE, Allesina, S., Kording, KP, (2012) Future impact: Predicting scientific success, Nature, Volume 489, Number 7415, 201-202


  • Avraham G, Nisky I, Fernandes HL, Acuna DE, Kording KP, Loeb GE, Karniel A, (2011) Towards Perceiving Robots as Humans – Three handshake models face the Turing-like Handshake Test, IEEE Transactions on Haptics
  • Acuna, DE, (2011) Rational Bayesian Analysis of Sequential Decision-Making Under Uncertainty In Humans and Machines, Ph.D. Thesis, University of Minnesota-Twin Cities


  • Acuna, DE & Schrater, P. (2010). Structure Learning in Human Sequential Decision-Making, PLoS Computational Biology 6(12): e1001003
  • Acuna, DE & Parada, V. (2010). People Efficiently Explore the Solution Space of the Computationally Intractable Traveling Salesman Problem to Find Near-Optimal Tours, PLoS ONE 5(7):e11685


  • Acuna, DE & Schrater, P. (2009). Improving Bayesian Reinforcement Learning using Transition Abstraction. ICML/UAI/CLT Workshop on Abstraction in Reinforcement Learning 2009
  • Acuna, DE & Schrater, P. (2009). Structure Learning in Human Sequential Decision-Making. NIPS 2009


  • Acuna, DE & Schrater, P. (2008). Bayesian Modeling of Human Sequential Decision-Making on the Multi-Armed Bandit Problem. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington, DC: Cognitive Science