Vishwa Vinay
Impact in
- Computational Mathematics top 5%
- Artificial Intelligence top 2%
- Advanced Clustering Algorithms Research
- Topic Modeling
Papers in
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- Machine Learning and Algorithms 3
- Topic Modeling 3
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- Information Retrieval and Search Behavior 11
- Web Data Mining and Analysis 4
- Co-authors
- Petros Drineas (2 shared papers)Ravi Kannan (2 shared papers)Alan Frieze (2 shared papers)S. Vempala (1 shared paper)Leif Azzopardi (2 shared papers)John Hooker (1 shared paper)Santosh Vempala (1 shared paper)H. Ramesh (2 shared papers)
- Journals
- Sadhana (1 paper)Machine Learning (1 paper)Journal of Automated Reasoning (1 paper)Information Retrieval (1 paper)Resonance (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Vishwa Vinay
31 papers receiving 742 citations
Peers
Comparison fields: 5 of 93
- Computational Mathematics 31
- Artificial Intelligence 480
- Signal Processing 137
- Computational Theory and Mathematics 187
- Information Systems 202
Countries citing papers authored by Vishwa Vinay
This map shows the geographic impact of Vishwa Vinay'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 Vishwa Vinay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishwa Vinay more than expected).
Fields of papers citing papers by Vishwa Vinay
This network shows the impact of papers produced by Vishwa Vinay. 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 Vishwa Vinay. The network helps show where Vishwa Vinay may publish in the future.
Co-authors
The 25 scholars most cited alongside Vishwa Vinay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 278 | |
| 2 | Clustering in large graphs and matrices | 1999 | 127 |
| 3 | 1995 | 75 | |
| 4 | 2008 | 74 | |
| 5 | 2006 | 51 | |
| 6 | 2003 | 45 | |
| 7 | 2002 | 36 | |
| 8 | 2022 | 26 | |
| 9 | 1999 | 24 | |
| 10 | 1997 | 18 | |
| 11 | 2005 | 15 | |
| 12 | 2009 | 15 | |
| 13 | 2011 | 8 | |
| 14 | 2006 | 7 | |
| 15 | 2001 | 6 | |
| 16 | 2009 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2008 | 4 | |
| 19 | 2008 | 3 | |
| 20 | 2023 | 2 |
About Vishwa Vinay
Vishwa Vinay is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications, having authored 36 papers that have together received 841 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (11 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Web Data Mining and Analysis (4 papers), Multimodal Machine Learning Applications (3 papers), Machine Learning and Algorithms (3 papers), Topic Modeling (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computational Mathematics (31 citations), Artificial Intelligence (480 citations), Signal Processing (137 citations), Computational Theory and Mathematics (187 citations) and Information Systems (202 citations). Vishwa Vinay has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Petros Drineas, Ravi Kannan, Alan Frieze, S. Vempala, Leif Azzopardi, John Hooker, Santosh Vempala, H. Ramesh, Ingemar J. Cox and Nataša Milić-Frayling. Their work appears in journals such as Sadhana, Machine Learning, Journal of Automated Reasoning, Information Retrieval and Resonance.
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.