Talal Rahwan

4.4k total citations · 2 hit papers
93 papers, 2.0k citations indexed

About

Talal Rahwan is a scholar working on Management Science and Operations Research, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Talal Rahwan has authored 93 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Management Science and Operations Research, 38 papers in Economics and Econometrics and 24 papers in Statistical and Nonlinear Physics. Recurrent topics in Talal Rahwan's work include Game Theory and Applications (33 papers), Game Theory and Voting Systems (33 papers) and Auction Theory and Applications (26 papers). Talal Rahwan is often cited by papers focused on Game Theory and Applications (33 papers), Game Theory and Voting Systems (33 papers) and Auction Theory and Applications (26 papers). Talal Rahwan collaborates with scholars based in United Kingdom, Poland and United Arab Emirates. Talal Rahwan's co-authors include Nicholas R. Jennings, Tomasz Michalak, Bedoor AlShebli, Wei Lee Woon, Michael Wooldridge, Sarvapali D. Ramchurn, Andrea Giovannucci, Oskar Skibski, Chi-Kin Chau and Muhammad Umar Aftab and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Talal Rahwan

92 papers receiving 1.9k citations

Hit Papers

The preeminence of ethnic diversity in scientific collabo... 2018 2026 2020 2023 2018 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Talal Rahwan United Kingdom 23 709 576 423 308 193 93 2.0k
Juan A. Rodríguez-Aguilar Spain 23 733 1.0× 191 0.3× 863 2.0× 522 1.7× 239 1.2× 162 2.1k
Kjell Hausken Norway 31 331 0.5× 518 0.9× 114 0.3× 568 1.8× 752 3.9× 240 3.6k
Leigh Tesfatsion United States 28 724 1.0× 1.3k 2.2× 185 0.4× 62 0.2× 323 1.7× 160 3.0k
Ariel D. Procaccia United States 35 2.2k 3.1× 2.3k 4.0× 941 2.2× 502 1.6× 166 0.9× 167 3.7k
Yoram Bachrach United Kingdom 25 581 0.8× 418 0.7× 828 2.0× 175 0.6× 475 2.5× 99 2.2k
Bhaskar Dutta India 36 1.9k 2.6× 2.3k 4.0× 170 0.4× 57 0.2× 330 1.7× 110 4.2k
Emmanuel Sirimal Silva United Kingdom 24 498 0.7× 333 0.6× 434 1.0× 85 0.3× 401 2.1× 67 2.4k
Ali Daud Pakistan 29 100 0.1× 226 0.4× 1.1k 2.7× 315 1.0× 307 1.6× 149 3.2k
Takayuki Itō Japan 22 705 1.0× 152 0.3× 1.1k 2.7× 382 1.2× 219 1.1× 288 2.6k

Countries citing papers authored by Talal Rahwan

Since Specialization
Citations

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

Fields of papers citing papers by Talal Rahwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Talal Rahwan

This figure shows the co-authorship network connecting the top 25 collaborators of Talal Rahwan. A scholar is included among the top collaborators of Talal Rahwan 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 Talal Rahwan. Talal Rahwan 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.
Benabderrahmane, Sidahmed & Talal Rahwan. (2025). From one attack domain to another: Contrastive transfer learning with siamese networks for APT detection. Knowledge-Based Systems. 332. 114877–114877.
2.
Zhou, Kai, et al.. (2024). Adversarial analysis of similarity-based sign prediction. Artificial Intelligence. 335. 104173–104173. 1 indexed citations
3.
Rahwan, Talal, et al.. (2024). Interpretable machine learning model for predicting activist investment targets. 10. 100146–100146. 1 indexed citations
4.
Benabderrahmane, Sidahmed, et al.. (2024). Hack me if you can: Aggregating autoencoders for countering persistent access threats within highly imbalanced data. Future Generation Computer Systems. 160. 926–941. 3 indexed citations
5.
Li, Liying, et al.. (2024). Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. IEEE Transactions on Information Forensics and Security. 19. 9315–9329. 2 indexed citations
6.
Rahwan, Talal, et al.. (2024). Big Tech Dominance Despite Global Mistrust. IEEE Transactions on Computational Social Systems. 11(3). 3741–3752. 2 indexed citations
7.
AlDahoul, Nouar, et al.. (2023). YouTube’s recommendation algorithm is left-leaning in the United States. PNAS Nexus. 2(8). pgad264–pgad264. 8 indexed citations
8.
Makovi, Kinga, et al.. (2023). Trust within human-machine collectives depends on the perceived consensus about cooperative norms. Nature Communications. 14(1). 3108–3108. 14 indexed citations
9.
Skibski, Oskar, Talal Rahwan, Tomasz Michalak, & Michael Wooldridge. (2019). Enumerating Connected Subgraphs and Computing the Myerson and Shapley Values in Graph-Restricted Games. ACM Transactions on Intelligent Systems and Technology. 10(2). 1–25. 9 indexed citations
10.
Skibski, Oskar, Talal Rahwan, Tomasz Michalak, & Makoto Yokoo. (2019). Attachment centrality: Measure for connectivity in networks. Artificial Intelligence. 274. 151–179. 17 indexed citations
11.
Skibski, Oskar, Tomasz Michalak, & Talal Rahwan. (2018). Axiomatic Characterization of Game-Theoretic Centrality. Journal of Artificial Intelligence Research. 62. 33–68. 21 indexed citations
12.
Zhou, Kai, et al.. (2018). Adversarial Link Prediction in Social Networks.. arXiv (Cornell University). 4 indexed citations
13.
Syed, Dabeeruddin, Tao Chang, Davor Svetinović, Talal Rahwan, & Zeyar Aung. (2017). Security for Complex Cyber-Physical and Industrial Control Systems: Current Trends, Limitations, and Challenges. Journal of the Association for Information Systems. 180. 4 indexed citations
14.
Rahwan, Talal, Tomasz Michalak, & Nicholas R. Jennings. (2016). Minimum search to establish worst-case guarantees in coalition structure generation. ePrints Soton (University of Southampton). 3 indexed citations
15.
Skibski, Oskar, Talal Rahwan, Tomasz Michalak, & Makoto Yokoo. (2016). Attachment Centrality: An Axiomatic Approach to Connectivity in Networks. Adaptive Agents and Multi-Agents Systems. 168–176. 13 indexed citations
16.
Michalak, Tomasz, et al.. (2015). Spiteful Bidding in the Dollar Auction. Adaptive Agents and Multi-Agents Systems. 1893–1894. 2 indexed citations
17.
Barcz, A., et al.. (2015). The game-theoretic interaction index on social networks with applications to link prediction and community detection. International Conference on Artificial Intelligence. 638–644. 9 indexed citations
18.
Pawłowski, Krzysztof, et al.. (2014). Coalition structure generation with the graphics processing unit. Adaptive Agents and Multi-Agents Systems. 293–300. 5 indexed citations
19.
Rahwan, Talal & Nicholas R. Jennings. (2008). An improved dynamic programming algorithm for coalition structure generation. Adaptive Agents and Multi-Agents Systems. 1417–1420. 89 indexed citations
20.
Rahwan, Talal, Sarvapali D. Ramchurn, Viet Dung Dang, & Nicholas R. Jennings. (2006). Near-optimal anytime coalition structure generation. ePrints Soton (University of Southampton). 223. 2365–2371. 38 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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