Cleotilde González

7.4k total citations
219 papers, 4.5k citations indexed

About

Cleotilde González is a scholar working on Artificial Intelligence, Management Science and Operations Research and General Decision Sciences. According to data from OpenAlex, Cleotilde González has authored 219 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 71 papers in Management Science and Operations Research and 50 papers in General Decision Sciences. Recurrent topics in Cleotilde González's work include Complex Systems and Decision Making (50 papers), Cognitive Science and Mapping (50 papers) and Decision-Making and Behavioral Economics (50 papers). Cleotilde González is often cited by papers focused on Complex Systems and Decision Making (50 papers), Cognitive Science and Mapping (50 papers) and Decision-Making and Behavioral Economics (50 papers). Cleotilde González collaborates with scholars based in United States, India and United Kingdom. Cleotilde González's co-authors include Varun Dutt, Christian Lebière, Matthew A. Cronin, Javier Lerch, Tomás Lejarraga, Noam Ben‐Asher, John D. Sterman, Polina M. Vanyukov, Michael K. Martin and Prashanth Rajivan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Review and Management Science.

In The Last Decade

Cleotilde González

211 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cleotilde González United States 33 1.2k 1.2k 839 769 744 219 4.5k
Christian Lebière United States 24 2.3k 1.9× 457 0.4× 468 0.6× 310 0.4× 934 1.3× 152 5.5k
Robert R. Hoffman United States 37 1.6k 1.3× 760 0.7× 200 0.2× 728 0.9× 2.5k 3.4× 189 8.4k
Panagiotis G. Ipeirotis United States 36 3.2k 2.6× 1.5k 1.3× 256 0.3× 2.7k 3.5× 641 0.9× 109 9.6k
Rami Zwick United States 21 1.1k 0.9× 2.0k 1.7× 627 0.7× 648 0.8× 221 0.3× 62 5.0k
Berndt Brehmer Sweden 28 667 0.5× 1.1k 0.9× 863 1.0× 441 0.6× 664 0.9× 100 3.5k
Jean‐François Bonnefon France 31 803 0.7× 171 0.1× 412 0.5× 1.0k 1.4× 1.2k 1.6× 129 4.8k
Thomas S. Wallsten United States 34 970 0.8× 1.5k 1.3× 2.2k 2.6× 697 0.9× 298 0.4× 104 4.7k
Paul J. Feltovich United States 28 1.3k 1.1× 465 0.4× 199 0.2× 531 0.7× 1.7k 2.3× 72 9.0k
Michael E. Bratman United States 26 1.5k 1.2× 304 0.3× 127 0.2× 930 1.2× 793 1.1× 79 5.8k
Ido Erev Israel 40 940 0.8× 2.8k 2.4× 4.2k 5.0× 1.9k 2.4× 531 0.7× 146 9.6k

Countries citing papers authored by Cleotilde González

Since Specialization
Citations

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

Fields of papers citing papers by Cleotilde González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cleotilde González. 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 Cleotilde González. The network helps show where Cleotilde González may publish in the future.

Co-authorship network of co-authors of Cleotilde González

This figure shows the co-authorship network connecting the top 25 collaborators of Cleotilde González. A scholar is included among the top collaborators of Cleotilde González 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 Cleotilde González. Cleotilde González 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.
Fang, Fei, et al.. (2025). Experimental evaluation of cognitive agents for collaboration in human-autonomy cyber defense teams. SHILAP Revista de lepidopterología. 4. 100148–100148. 2 indexed citations
3.
González, Cleotilde, et al.. (2023). Learning about simulated adversaries from human defenders using interactive cyber-defense games. SPIRE - Sciences Po Institutional REpository. 9(1). 3 indexed citations
4.
González, Cleotilde, et al.. (2023). Using Cognitive Models to Develop Digital Twin Synthetic Known User Persona. AHFE international. 83. 1 indexed citations
5.
Nguyen, Thuy Ngoc & Cleotilde González. (2023). Minimap: An interactive dynamic decision making game for search and rescue missions. Behavior Research Methods. 56(3). 2311–2332. 4 indexed citations
6.
Singh, Kuldeep, Palvi Aggarwal, Prashanth Rajivan, & Cleotilde González. (2023). Cognitive elements of learning and discriminability in anti-phishing training. Computers & Security. 127. 103105–103105. 5 indexed citations
7.
Eadeh, Fade R., Thuy Ngoc Nguyen, Pranav Gupta, et al.. (2022). Teaching agents to understand teamwork: Evaluating and predicting collective intelligence as a latent variable via Hidden Markov Models. Computers in Human Behavior. 139. 107524–107524. 10 indexed citations
8.
Nguyen, Thuy Ngoc & Cleotilde González. (2020). Cognitive Machine Theory of Mind. Cognitive Science. 3 indexed citations
9.
Vayanos, Phebe, et al.. (2019). Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. Adaptive Agents and Multi-Agents Systems. 1892–1894. 3 indexed citations
10.
González, Cleotilde, et al.. (2019). Math matters: mathematical knowledge plays an essential role in Chinese undergraduates' stock‐and‐flow task performance. System Dynamics Review. 35(3). 208–231. 8 indexed citations
11.
Černý, Jakub, et al.. (2019). Evaluating Models of Human Behavior in an Adversarial Multi-Armed Bandit Problem.. Cognitive Science. 394–400. 1 indexed citations
12.
Lebière, Christian, et al.. (2018). Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games.. Cognitive Science. 9 indexed citations
13.
Rajivan, Prashanth, et al.. (2018). Human Decisions on Targeted and Non-Targeted Adversarial Sample.. Cognitive Science. 2 indexed citations
14.
González, Cleotilde, et al.. (2017). Graphical features of flow behavior and the stock and flow failure. System Dynamics Review. 33(1). 59–70. 8 indexed citations
15.
Kar, Debarun, et al.. (2016). Know Your Adversary: Insights for a Better Adversarial Behavioral Model.. Cognitive Science. 8 indexed citations
16.
Konstantinidis, Emmanouil, Nathaniel J. S. Ashby, & Cleotilde González. (2015). Exploring Complexity in Decisions from Experience: Same Minds, Same Strategy.. Cognitive Science. 4 indexed citations
17.
Newell, Ben R., et al.. (2013). Managing our debt: Changing Context Reduces Misunderstanding of Global Warming. Cognitive Science. 35(35). 2 indexed citations
18.
Juvina, Ion, Christian Lebière, Cleotilde González, & Muniba Saleem. (2012). Generalization of Learning in Games of Strategic Interaction. Cognitive Science. 34(34). 1 indexed citations
19.
Graham, John M., et al.. (2006). ACognitive Approach to Game Usability and Design: Mental Model Development in Novice Real-Time Strategy Gamers. CyberPsychology & Behavior. 9(3). 361–366. 16 indexed citations
20.
Fu, Wai‐Tat & Cleotilde González. (2006). Learning to Control Dynamic Systems: Information Utilization and Future Planning. eScholarship (California Digital Library). 28(28). 1 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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