V. S. Subrahmanian

18.1k total citations · 4 hit papers
334 papers, 9.6k citations indexed

About

V. S. Subrahmanian is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, V. S. Subrahmanian has authored 334 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Artificial Intelligence, 104 papers in Computer Networks and Communications and 80 papers in Signal Processing. Recurrent topics in V. S. Subrahmanian's work include Logic, Reasoning, and Knowledge (98 papers), Semantic Web and Ontologies (76 papers) and Advanced Database Systems and Queries (51 papers). V. S. Subrahmanian is often cited by papers focused on Logic, Reasoning, and Knowledge (98 papers), Semantic Web and Ontologies (76 papers) and Advanced Database Systems and Queries (51 papers). V. S. Subrahmanian collaborates with scholars based in United States, Italy and United Kingdom. V. S. Subrahmanian's co-authors include Octavian Udrea, Sushil Jajodia, Rama Chellappa, Pavan Turaga, Pierangela Samarati, Inderpal Singh Mumick, Ashish Gupta, Raymond T. Ng, Srijan Kumar and Christos Faloutsos and has published in prestigious journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

V. S. Subrahmanian

321 papers receiving 8.8k citations

Hit Papers

Machine Recognition of Hu... 2008 2026 2014 2020 2008 2016 2016 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
V. S. Subrahmanian 5.7k 3.3k 2.1k 2.1k 1.7k 334 9.6k
Jaideep Srivastava 3.5k 0.6× 2.8k 0.9× 1.8k 0.8× 5.2k 2.5× 817 0.5× 319 10.3k
Graham Cormode 5.4k 1.0× 4.0k 1.2× 2.3k 1.1× 1.3k 0.6× 672 0.4× 178 8.4k
Henry Kautz 6.4k 1.1× 3.8k 1.2× 1.5k 0.7× 1.1k 0.5× 2.6k 1.5× 166 11.5k
Kian‐Lee Tan 3.5k 0.6× 4.9k 1.5× 4.0k 1.8× 2.9k 1.4× 1.9k 1.1× 392 11.0k
Sushil Jajodia 7.8k 1.4× 10.7k 3.3× 3.6k 1.7× 6.4k 3.0× 2.4k 1.4× 511 18.5k
Ming-Syan Chen⋆ 3.5k 0.6× 3.6k 1.1× 2.5k 1.2× 4.5k 2.2× 1.2k 0.7× 400 10.1k
Cynthia Dwork 11.5k 2.0× 3.6k 1.1× 600 0.3× 2.1k 1.0× 883 0.5× 129 16.0k
Oren Etzioni 13.5k 2.4× 2.1k 0.6× 1.5k 0.7× 6.4k 3.0× 1.5k 0.9× 192 17.7k
Ross Anderson 2.8k 0.5× 2.2k 0.7× 2.2k 1.0× 3.7k 1.8× 3.4k 2.0× 132 9.8k
‪Surya Nepal‬ 3.6k 0.6× 3.5k 1.1× 1.7k 0.8× 3.5k 1.7× 1.1k 0.6× 351 8.4k

Countries citing papers authored by V. S. Subrahmanian

Since Specialization
Citations

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

Fields of papers citing papers by V. S. Subrahmanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. S. Subrahmanian. 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 V. S. Subrahmanian. The network helps show where V. S. Subrahmanian may publish in the future.

Co-authorship network of co-authors of V. S. Subrahmanian

This figure shows the co-authorship network connecting the top 25 collaborators of V. S. Subrahmanian. A scholar is included among the top collaborators of V. S. Subrahmanian 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 V. S. Subrahmanian. V. S. Subrahmanian 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.
Chen, Kezhen, et al.. (2025). MoLA: MoE LoRA with Layer-wise Expert Allocation. 5097–5112.
2.
Gatta, Valerio La, et al.. (2025). Reinforcement-Learning Based Covert Social Influence Operations. 2435–2449.
3.
Conti, Mauro, et al.. (2024). Climbing the Influence Tiers on TikTok: A Multimodal Study. Proceedings of the International AAAI Conference on Web and Social Media. 18. 1503–1516.
4.
Jajodia, Sushil, et al.. (2024). FakeDB: Generating Fake Synthetic Databases. IEEE Transactions on Dependable and Secure Computing. 21(6). 5553–5564. 2 indexed citations
5.
Jajodia, Sushil, et al.. (2024). A Psycholinguistics-inspired Method to Counter IP Theft Using Fake Documents. ACM Transactions on Management Information Systems. 15(2). 1–25.
6.
Jajodia, Sushil, et al.. (2023). GAIT: A Game-Theoretic Defense Against Intellectual Property Theft. IEEE Transactions on Dependable and Secure Computing. 21(4). 1967–1980.
7.
Liu, Rui, et al.. (2023). SockDef: A Dynamically Adaptive Defense to a Novel Attack on Review Fraud Detection Engines. IEEE Transactions on Computational Social Systems. 11(4). 5253–5265.
8.
Subrahmanian, V. S., et al.. (2022). POLLY: A Multimodal Cross-Cultural Context-Sensitive Framework to Predict Political Lying from Videos. 520–530. 1 indexed citations
9.
Chen, Haipeng, et al.. (2022). PCAM: A Data-driven Probabilistic Cyber-alert Management Framework. ACM Transactions on Internet Technology. 22(3). 1–24. 2 indexed citations
10.
Chen, Youdinghuan, Daveed Gartenstein-Ross, Kevin Greene, et al.. (2022). Linking Terrorist Network Structure to Lethality: Algorithms and Analysis of Al Qaeda and ISIS. IEEE Transactions on Computational Social Systems. 10(5). 2814–2826. 1 indexed citations
11.
Chen, Haipeng, Qian Han, Sushil Jajodia, et al.. (2020). Disclose or Exploit? A Game-Theoretic Approach to Strategic Decision Making in Cyber-Warfare. IEEE Systems Journal. 14(3). 3779–3790. 7 indexed citations
12.
Liu, Rui, et al.. (2020). STARS. ACM Transactions on Intelligent Systems and Technology. 11(5). 1–25. 10 indexed citations
13.
Xiong, Yanhai, et al.. (2020). Generating Realistic Fake Equations in Order to Reduce Intellectual Property Theft. IEEE Transactions on Dependable and Secure Computing. 19(3). 1434–1445. 4 indexed citations
14.
Chakraborty, Tanmoy, Sushil Jajodia, Jonathan Katz, et al.. (2019). A Fake Online Repository Generation Engine for Cyber Deception. IEEE Transactions on Dependable and Secure Computing. 18(2). 518–533. 34 indexed citations
15.
Jajodia, Sushil, Noseong Park, Edoardo Serra, & V. S. Subrahmanian. (2018). SHARE. ACM Transactions on Internet Technology. 18(3). 1–41. 12 indexed citations
16.
Jajodia, Sushil, V. S. Subrahmanian, Vipin Swarup, & Cliff Wang. (2016). Cyber Deception: Building the Scientific Foundation. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
17.
Kumar, Srijan, Francesca Spezzano, & V. S. Subrahmanian. (2014). Accurately detecting trolls in Slashdot Zoo via decluttering. 188–195. 22 indexed citations
18.
Liu, Weiru, et al.. (2013). Scalable Uncertainty Management - 7th International Conference, SUM 2013. Research Portal (Queen's University Belfast). 7 indexed citations
19.
Simari, Gerardo I., Matthias Broecheler, V. S. Subrahmanian, & Sarit Kraus. (2008). Promises kept, promises broken: an axiomatic and quantitative treatment of fulfillment. Principles of Knowledge Representation and Reasoning. 59–68. 4 indexed citations
20.
Baral, Chitta & V. S. Subrahmanian. (1991). Dualities between Alternative Semantics for Logic Programming and Nonmonotonic Reasoning (Extended Abstract).. 69–86. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026