Inon Zuckerman

510 total citations
38 papers, 211 citations indexed

About

Inon Zuckerman is a scholar working on Artificial Intelligence, Safety Research and Sociology and Political Science. According to data from OpenAlex, Inon Zuckerman has authored 38 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Safety Research and 9 papers in Sociology and Political Science. Recurrent topics in Inon Zuckerman's work include Experimental Behavioral Economics Studies (11 papers), Multi-Agent Systems and Negotiation (9 papers) and Neural and Behavioral Psychology Studies (8 papers). Inon Zuckerman is often cited by papers focused on Experimental Behavioral Economics Studies (11 papers), Multi-Agent Systems and Negotiation (9 papers) and Neural and Behavioral Psychology Studies (8 papers). Inon Zuckerman collaborates with scholars based in Israel, United States and United Kingdom. Inon Zuckerman's co-authors include Sarit Kraus, Avi Rosenfeld, Ilan Laufer, Erel Segal-Halevi, Jeffrey S. Rosenschein, Amos Azaria, Dana Nau, Ariel Felner, Jennifer Golbeck and John Grant and has published in prestigious journals such as PLoS ONE, Sensors and Frontiers in Psychology.

In The Last Decade

Inon Zuckerman

33 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inon Zuckerman Israel 8 102 40 39 34 32 38 211
Yuling Gu United States 4 93 0.9× 25 0.6× 41 1.1× 12 0.4× 16 0.5× 12 215
Kevin R. McKee United Kingdom 9 70 0.7× 26 0.7× 65 1.7× 12 0.4× 20 0.6× 16 191
Luis G. Nardin Italy 7 35 0.3× 18 0.5× 67 1.7× 12 0.4× 18 0.6× 19 179
Xinru Wang United States 5 190 1.9× 8 0.2× 24 0.6× 53 1.6× 27 0.8× 10 292
Peter S. Park United States 7 69 0.7× 12 0.3× 53 1.4× 17 0.5× 14 0.4× 8 190
Ilia Sucholutsky Canada 8 103 1.0× 18 0.5× 33 0.8× 17 0.5× 7 0.2× 16 219
Eleonora Viganò Switzerland 6 103 1.0× 42 1.1× 42 1.1× 28 0.8× 9 0.3× 14 253
Andrea Vanzo Italy 8 169 1.7× 30 0.8× 37 0.9× 18 0.5× 3 0.1× 15 253
Qian Pan United States 8 152 1.5× 17 0.4× 30 0.8× 73 2.1× 14 0.4× 22 274
Jonathan Stray United States 6 78 0.8× 16 0.4× 88 2.3× 11 0.3× 9 0.3× 11 251

Countries citing papers authored by Inon Zuckerman

Since Specialization
Citations

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

Fields of papers citing papers by Inon Zuckerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inon Zuckerman

This figure shows the co-authorship network connecting the top 25 collaborators of Inon Zuckerman. A scholar is included among the top collaborators of Inon Zuckerman 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 Inon Zuckerman. Inon Zuckerman 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.
Laufer, Ilan, et al.. (2025). Attachment Style, Task Difficulty, and Feedback Type: Effects on Cognitive Load. Behavioral Sciences. 15(4). 427–427.
2.
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Laufer, Ilan, et al.. (2024). Neurophysiological insights into sequential decision-making: exploring the secretary problem through ERPs and TBR dynamics. BMC Psychology. 12(1). 245–245. 2 indexed citations
4.
Laufer, Ilan, et al.. (2024). Real-World Spatial Synchronization of Event-CMOS Cameras through Deep Learning: A Novel CNN-DGCNN Approach. Sensors. 24(13). 4050–4050. 1 indexed citations
5.
Laufer, Ilan, et al.. (2024). Comparative analysis of ROCKET-driven and classic EEG features in predicting attachment styles. BMC Psychology. 12(1). 87–87. 1 indexed citations
6.
Laufer, Ilan, et al.. (2024). Enhancing EEG-based attachment style prediction: unveiling the impact of feature domains. Frontiers in Psychology. 15. 1326791–1326791. 4 indexed citations
7.
Zuckerman, Inon, et al.. (2023). Deconstructing Risk Factors for Predicting Risk Assessment in Supply Chains Using Machine Learning. Journal of risk and financial management. 16(2). 97–97. 8 indexed citations
8.
Zuckerman, Inon, et al.. (2023). Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentials. Frontiers in Human Neuroscience. 17. 1249978–1249978. 5 indexed citations
9.
Laufer, Ilan, et al.. (2022). Modeling and predicting individual tacit coordination ability. Brain Informatics. 9(1). 4–4.
10.
11.
Zuckerman, Inon, et al.. (2021). Level-K Classification from EEG Signals Using Transfer Learning. Sensors. 21(23). 7908–7908. 3 indexed citations
12.
Laufer, Ilan, et al.. (2020). Collectivism-individualism: Strategic behavior in tacit coordination games. PLoS ONE. 15(2). e0226929–e0226929. 8 indexed citations
13.
Rosenfeld, Avi, et al.. (2014). NegoChat: a chat-based negotiation agent. Adaptive Agents and Multi-Agents Systems. 525–532. 24 indexed citations
14.
Rosenfeld, Avi, Inon Zuckerman, Amos Azaria, & Sarit Kraus. (2012). Combining psychological models with machine learning to better predict people’s decisions. Synthese. 189(S1). 81–93. 33 indexed citations
15.
Zuckerman, Inon, et al.. (2011). The Life Game: Cognitive Strategies for Repeated Stochastic Games. 95–102. 12 indexed citations
16.
Zuckerman, Inon, et al.. (2010). Emergence of cooperative societies in evolutionary games. 1793–1800.
17.
Zuckerman, Inon, Sarit Kraus, & Jeffrey S. Rosenschein. (2010). The adversarial activity model for bounded rational agents. Autonomous Agents and Multi-Agent Systems. 24(3). 374–409. 6 indexed citations
18.
Zuckerman, Inon, Ariel Felner, & Sarit Kraus. (2009). Mixing search strategies for multi-player games. International Joint Conference on Artificial Intelligence. 646–651. 6 indexed citations
19.
Zuckerman, Inon, Sarit Kraus, & Jeffrey S. Rosenschein. (2007). Using focal point learning to improve tactic coordination in human-machine interactions. International Joint Conference on Artificial Intelligence. 1563–1568. 1 indexed citations
20.
Zuckerman, Inon, Sarit Kraus, Jeffrey S. Rosenschein, & Gal A. Kaminka. (2007). An adversarial environment model for bounded rational agents in zero-sum interactions. 1–8. 5 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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