David Bourgin

668 total citations
11 papers, 331 citations indexed

About

David Bourgin is a scholar working on Artificial Intelligence, Management Science and Operations Research and General Decision Sciences. According to data from OpenAlex, David Bourgin has authored 11 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 3 papers in General Decision Sciences. Recurrent topics in David Bourgin's work include Decision-Making and Behavioral Economics (3 papers), Forecasting Techniques and Applications (2 papers) and Teaching and Learning Programming (2 papers). David Bourgin is often cited by papers focused on Decision-Making and Behavioral Economics (3 papers), Forecasting Techniques and Applications (2 papers) and Teaching and Learning Programming (2 papers). David Bourgin collaborates with scholars based in United States, Israel and Australia. David Bourgin's co-authors include Thomas L. Griffiths, Daniel Reichman, Joshua C. Peterson, Mayank Agrawal, Jordan W. Suchow, Linlin Wang, Carol B. Ware, Bradford Stadler, Lee P. Lim and Jenn‐Yah Yu and has published in prestigious journals such as Science, Trends in Cognitive Sciences and Journal of Experimental Psychology General.

In The Last Decade

David Bourgin

9 papers receiving 317 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Bourgin United States	6	120	89	69	43	29	11	331
Brian J. Christian United States	11	92 0.8×	75 0.8×	50 0.7×	49 1.1×	25 0.9×	19	458
Barbara Mirel United States	12	208 1.7×	37 0.4×	55 0.8×	7 0.2×	67 2.3×	50	547
James M. Whitacre Australia	10	181 1.5×	37 0.4×	93 1.3×	45 1.0×	25 0.9×	19	553
Fiona McNeill United Kingdom	9	32 0.3×	50 0.6×	168 2.4×	8 0.2×	21 0.7×	57	413
Iftekhar Naim United States	11	115 1.0×	8 0.1×	147 2.1×	15 0.3×	27 0.9×	15	423
Joshua Hurwitz United States	10	18 0.1×	12 0.1×	81 1.2×	73 1.7×	15 0.5×	26	397
Meihong Zheng China	11	149 1.2×	88 1.0×	14 0.2×	40 0.9×	11 0.4×	31	379
Euan Adie United Kingdom	10	402 3.4×	12 0.1×	29 0.4×	20 0.5×	45 1.6×	22	803
Ching‐Yu Huang United States	8	87 0.7×	8 0.1×	76 1.1×	10 0.2×	16 0.6×	30	394
Dongyu Zhang China	10	45 0.4×	16 0.2×	143 2.1×	11 0.3×	13 0.4×	39	333

Countries citing papers authored by David Bourgin

Since Specialization

Citations

This map shows the geographic impact of David Bourgin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Bourgin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bourgin more than expected).

Fields of papers citing papers by David Bourgin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Bourgin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Bourgin. The network helps show where David Bourgin may publish in the future.

Co-authorship network of co-authors of David Bourgin

This figure shows the co-authorship network connecting the top 25 collaborators of David Bourgin. A scholar is included among the top collaborators of David Bourgin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Bourgin. David Bourgin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Plonsky, Ori, Eyal Ert, Moshe Tennenholtz, et al.. (2025). Predicting human decisions with behavioural theories and machine learning. Nature Human Behaviour. 9(11). 2271–2284.

Reichman, Daniel, Falk Lieder, David Bourgin, Nimrod Talmon, & Thomas L. Griffiths. (2023). The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance. Cognitive Science. 47(8). e13330–e13330. 1 indexed citations

Peterson, Joshua C., David Bourgin, Mayank Agrawal, Daniel Reichman, & Thomas L. Griffiths. (2021). Using large-scale experiments and machine learning to discover theories of human decision-making. Science. 372(6547). 1209–1214. 115 indexed citations

Bourgin, David, Joshua T. Abbott, & Thomas L. Griffiths. (2020). Recommendation as generalization: Using big data to evaluate cognitive models.. Journal of Experimental Psychology General. 150(7). 1398–1409.

Bourgin, David, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, & Stuart Russell. (2019). Cognitive Model Priors for Predicting Human Decisions. arXiv (Cornell University). 5133–5141. 12 indexed citations

Blank, Douglas, David Bourgin, Matthias Bussonnier, et al.. (2019). nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 2(11). 32–32. 36 indexed citations

Ho, Mark K., et al.. (2018). Human Priors in Hierarchical Program Induction. 2 indexed citations

Suchow, Jordan W., David Bourgin, & Thomas L. Griffiths. (2017). Evolution in Mind: Evolutionary Dynamics, Cognitive Processes, and Bayesian Inference. Trends in Cognitive Sciences. 21(7). 522–530. 23 indexed citations

Bourgin, David, Falk Lieder, Daniel Reichman, Nimrod Talmon, & Tom Griffiths. (2017). The Structure of Goal Systems Predicts Human Performance. Cognitive Science. 5 indexed citations

10.

Bourgin, David, Joshua T. Abbott, Thomas L. Griffiths, Kevin A. Smith, & Ed Vul. (2014). Empirical Evidence for Markov Chain Monte Carlo in Memory Search.. Cognitive Science. 36(36). 18 indexed citations

11.

Qi, Junlin, Jenn‐Yah Yu, Halyna R. Shcherbata, et al.. (2009). microRNAs regulate human embryonic stem cell division. Cell Cycle. 8(22). 3729–3741. 119 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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