Jacob W. Crandall

4.0k total citations · 1 hit paper
53 papers, 1.9k citations indexed

About

Jacob W. Crandall is a scholar working on Artificial Intelligence, Social Psychology and Management Science and Operations Research. According to data from OpenAlex, Jacob W. Crandall has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Social Psychology and 12 papers in Management Science and Operations Research. Recurrent topics in Jacob W. Crandall's work include Reinforcement Learning in Robotics (17 papers), Human-Automation Interaction and Safety (12 papers) and Robot Manipulation and Learning (8 papers). Jacob W. Crandall is often cited by papers focused on Reinforcement Learning in Robotics (17 papers), Human-Automation Interaction and Safety (12 papers) and Robot Manipulation and Learning (8 papers). Jacob W. Crandall collaborates with scholars based in United States, United Kingdom and United Arab Emirates. Jacob W. Crandall's co-authors include Michael A. Goodrich, Stefano V. Albrecht, Ram Ramamoorthy, Mary L. Cummings, Curtis W. Nielsen, Dan R. Olsen, Iyad Rahwan, Jean‐François Bonnefon, Talal Rahwan and Emilia Barakova and has published in prestigious journals such as Nature Communications, Journal of Bacteriology and Analytica Chimica Acta.

In The Last Decade

Jacob W. Crandall

52 papers receiving 1.8k citations

Hit Papers

Twenty-Ninth AAAI Conference on Artificial Intelligence 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob W. Crandall United States 19 683 642 327 255 205 53 1.9k
Matthew Gombolay United States 20 612 0.9× 522 0.8× 251 0.8× 171 0.7× 160 0.8× 97 1.6k
Michael Barnes United States 18 345 0.5× 1.4k 2.2× 291 0.9× 167 0.7× 246 1.2× 92 2.3k
David V. Pynadath United States 22 1.3k 1.9× 335 0.5× 164 0.5× 171 0.7× 92 0.4× 62 1.9k
Jean Scholtz United States 31 801 1.2× 1.2k 1.8× 615 1.9× 955 3.7× 116 0.6× 148 3.5k
Jill L. Drury United States 19 272 0.4× 835 1.3× 409 1.3× 349 1.4× 47 0.2× 68 1.7k
Dan R. Olsen United States 27 757 1.1× 385 0.6× 212 0.6× 727 2.9× 53 0.3× 92 2.6k
Julie Shah United States 32 1.4k 2.0× 1.4k 2.2× 1.2k 3.8× 682 2.7× 229 1.1× 139 4.0k
William D. Smart United States 22 693 1.0× 318 0.5× 524 1.6× 616 2.4× 96 0.5× 117 2.0k
Eric D. Ragan United States 26 363 0.5× 336 0.5× 83 0.3× 838 3.3× 86 0.4× 99 2.3k
Paul S. Rosenbloom United States 25 2.9k 4.3× 385 0.6× 272 0.8× 257 1.0× 48 0.2× 113 4.1k

Countries citing papers authored by Jacob W. Crandall

Since Specialization
Citations

This map shows the geographic impact of Jacob W. Crandall'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 Jacob W. Crandall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob W. Crandall more than expected).

Fields of papers citing papers by Jacob W. Crandall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob W. Crandall. 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 Jacob W. Crandall. The network helps show where Jacob W. Crandall may publish in the future.

Co-authorship network of co-authors of Jacob W. Crandall

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob W. Crandall. A scholar is included among the top collaborators of Jacob W. Crandall 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 Jacob W. Crandall. Jacob W. Crandall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karpowitz, Christopher F., et al.. (2023). Experimenting with List Experiments: Interviewer Effects and Immigration Attitudes. Public Opinion Quarterly. 87(1). 69–91. 1 indexed citations
2.
Albrecht, Stefano V., Jacob W. Crandall, & Subramanian Ramamoorthy. (2019). E-HBA: Using Action Policies for Expert Advice and Agent Typification. arXiv (Cornell University). 1 indexed citations
3.
Crandall, Jacob W., Sherief Abdallah, Jean‐François Bonnefon, et al.. (2018). Cooperating with machines. Nature Communications. 9(1). 233–233. 130 indexed citations
4.
Shen, Wen, Cristina V. Lopes, & Jacob W. Crandall. (2016). An online mechanism for ridesharing in autonomous mobility-on-demand systems. arXiv (Cornell University). 475–481. 2 indexed citations
5.
Albrecht, Stefano V., Jacob W. Crandall, & Ram Ramamoorthy. (2015). Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. National Conference on Artificial Intelligence. 151 indexed citations
6.
Albrecht, Stefano V., Jacob W. Crandall, & Ram Ramamoorthy. (2015). Twenty-Ninth AAAI Conference on Artificial Intelligence. National Conference on Artificial Intelligence. 379 indexed citations breakdown →
7.
Crandall, Jacob W.. (2014). Robust Learning for Repeated Stochastic Games via Meta-Gaming. arXiv (Cornell University). 3416–3422. 2 indexed citations
8.
Crandall, Jacob W., et al.. (2014). Online Learning in Repeated Human-Robot Interactions.. National Conference on Artificial Intelligence. 2 indexed citations
9.
Gini, Maria, et al.. (2014). Fast adaptive learning in repeated stochastic games by game abstraction. Adaptive Agents and Multi-Agents Systems. 1141–1148. 15 indexed citations
10.
Crandall, Jacob W., et al.. (2014). Programming Robots to Express Emotions: Interaction Paradigms, Communication Modalities, and Context. IEEE Transactions on Human-Machine Systems. 44(3). 362–373. 12 indexed citations
11.
Crandall, Jacob W.. (2014). Towards Minimizing Disappointment in Repeated Games. Journal of Artificial Intelligence Research. 49. 111–142. 18 indexed citations
12.
Crandall, Jacob W.. (2012). Just add Pepper: extending learning algorithms for repeated matrix games to repeated Markov games. Adaptive Agents and Multi-Agents Systems. 399–406. 10 indexed citations
13.
Goodrich, Michael A., et al.. (2011). Toward human interaction with bio-inspired teams. Adaptive Agents and Multi-Agents Systems. 1265–1266. 1 indexed citations
14.
Crandall, Jacob W., et al.. (2010). Computing the Effects of Operator Attention Allocation in Human Control of Multiple Robots. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 41(3). 385–397. 38 indexed citations
15.
Crandall, Jacob W., Michael A. Goodrich, & Lanny Lin. (2009). Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning.. National Conference on Artificial Intelligence. 28–35.
16.
Crandall, Jacob W., et al.. (2009). Predictive Model for Human-Unmanned Vehicle Systems. Journal of Aerospace Computing Information and Communication. 6(11). 585–603. 8 indexed citations
17.
Crandall, Jacob W., et al.. (2006). A UAV Mission Hierarchy. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations
18.
Crandall, Jacob W. & Michael A. Goodrich. (2004). Learning e-Pareto Efficient Solutions with Minimal Knowledge Requirements using Satisficing.. National Conference on Artificial Intelligence. 52–59. 6 indexed citations
19.
Goodrich, Michael A., et al.. (2003). Neglect Tolerant Teaming: Issues and Dilemmas. Analytica Chimica Acta. 1202. 339687–339687. 22 indexed citations
20.
Crandall, Jacob W. & Michael A. Goodrich. (2002). Principles of Adjustable Interactions. 10 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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