Ashwin Srinivasan
Impact in
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- Computational Drug Discovery Methods
- Rough Sets and Fuzzy Logic
- Artificial Intelligence top 2%
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
Papers in
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- Logic, Reasoning, and Knowledge 20
- Semantic Web and Ontologies 9
- Topic Modeling 8
- Natural Language Processing Techniques 5
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- Computational Drug Discovery Methods 15
- Rough Sets and Fuzzy Logic 8
- Advanced Algebra and Logic 6
- Co-authors
- Ross D. King (18 shared papers)Stephen Muggleton (9 shared papers)Michael J.E. Sternberg (6 shared papers)Tirtharaj Dash (5 shared papers)Stefan Krämer (1 shared paper)Christoph Helma (1 shared paper)David Page (3 shared papers)Hendrik Blockeel (2 shared papers)
- Journals
- Machine Learning (17 papers)Journal of Machine Learning Research (4 papers)Data Mining and Knowledge Discovery (2 papers)Artificial Intelligence (2 papers)Environmental Health Perspectives (2 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Ashwin Srinivasan
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 443
- Artificial Intelligence 743
- Information Systems 368
- Signal Processing 115
- Computer Vision and Pattern Recognition 157
Countries citing papers authored by Ashwin Srinivasan
This map shows the geographic impact of Ashwin Srinivasan'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 Ashwin Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Srinivasan more than expected).
Fields of papers citing papers by Ashwin Srinivasan
This network shows the impact of papers produced by Ashwin Srinivasan. 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 Ashwin Srinivasan. The network helps show where Ashwin Srinivasan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Srinivasan, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 132 | |
| 2 | 1996 | 130 | |
| 3 | 1996 | 128 | |
| 4 | 2022 | 107 | |
| 5 | 1998 | 73 | |
| 6 | 1997 | 57 | |
| 7 | 2005 | 56 | |
| 8 | 2011 | 55 | |
| 9 | 1999 | 49 | |
| 10 | 1992 | 44 | |
| 11 | 2008 | 43 | |
| 12 | 2011 | 41 | |
| 13 | 1996 | 40 | |
| 14 | 2018 | 29 | |
| 15 | 1999 | 27 | |
| 16 | 1995 | 26 | |
| 17 | Query transformations for improving the efficiency of ilp systems | 2003 | 24 |
| 18 | 1999 | 23 | |
| 19 | Ilp: a short look back and a longer look forward | 2003 | 19 |
| 20 | An assessment of submissions made to the predictive toxicology evaluation challenge | 1999 | 19 |
About Ashwin Srinivasan
Ashwin Srinivasan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Information Systems and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (20 papers), Computational Drug Discovery Methods (15 papers), Data Mining Algorithms and Applications (14 papers), Semantic Web and Ontologies (9 papers), Topic Modeling (8 papers), Rough Sets and Fuzzy Logic (8 papers), Advanced Algebra and Logic (6 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Computational Theory and Mathematics (443 citations), Artificial Intelligence (743 citations), Information Systems (368 citations), Signal Processing (115 citations) and Computer Vision and Pattern Recognition (157 citations). Ashwin Srinivasan has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Ross D. King, Stephen Muggleton, Michael J.E. Sternberg, Tirtharaj Dash, Stefan Krämer, Christoph Helma, David Page, Hendrik Blockeel, Rui Camacho and David Page. Their work appears in journals such as Machine Learning, Journal of Machine Learning Research, Data Mining and Knowledge Discovery, Artificial Intelligence and Environmental Health Perspectives.
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.