V. S. Subrahmanian
- Artificial Intelligence top 0.1%
- Computer Networks and Communications top 0.2%
- Signal Processing top 0.2%
- Information Systems top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Co-authors
- Octavian UdreaSushil JajodiaRama ChellappaPavan TuragaPierangela SamaratiAshish GuptaInderpal Singh MumickRaymond T. Ng
- Topics
- Logic, Reasoning, and Knowledge (98 papers)Semantic Web and Ontologies (76 papers)Advanced Database Systems and Queries (51 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
V. S. Subrahmanian
321 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Artificial Intelligence 5.7k
- Computer Networks and Communications 3.3k
- Signal Processing 2.1k
- Information Systems 2.1k
- Computer Vision and Pattern Recognition 1.7k
Countries citing papers authored by V. S. Subrahmanian
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 34 | |
| 11 | 22 | |
| 12 | 2 | |
| 13 | Scalable Uncertainty Management - 7th International Conference, SUM 2013 | 7 |
| 14 | Promises kept, promises broken: an axiomatic and quantitative treatment of fulfillment | 4 |
| 15 | The OASYS 2.0 Opinion Analysis System: A Demo | 2 |
| 16 | Opinion Analysis in Document Databases. | 1 |
| 17 | Probabilistically survivable MASs | 10 |
| 18 | On the complexity of domain-independent planning | 36 |
| 19 | Dualities between Alternative Semantics for Logic Programming and Nonmonotonic Reasoning (Extended Abstract). | 6 |
| 20 | Intuitive Semantics for Quantitative Rule Sets. | 2 |
About V. S. Subrahmanian
V. S. Subrahmanian is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 334 papers that have together received 9.6k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (98 papers), Semantic Web and Ontologies (76 papers) and Advanced Database Systems and Queries (51 papers). The work is most often cited by research in Signal Processing (2.1k citations), Artificial Intelligence (5.7k citations) and Computer Networks and Communications (3.3k citations). V. S. Subrahmanian has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Octavian Udrea, Sushil Jajodia, Rama Chellappa, Pavan Turaga, Pierangela Samarati, Ashish Gupta, Inderpal Singh Mumick, Raymond T. Ng, Srijan Kumar and Christos Faloutsos. Their work appears in journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.