Ayush Singhal
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Topic Modeling 4
- Advanced Text Analysis Techniques 3
- Semantic Web and Ontologies 3
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- Web Data Mining and Analysis 3
- Co-authors
- Zhiyong Lu (5 shared papers)Michael A. Simmons (4 shared papers)Pradeep K. Sinha (1 shared paper)Jaideep Srivastava (11 shared papers)Ankush Mittal (1 shared paper)Praveen Kumar (1 shared paper)Ajay Kumar (1 shared paper)Robert Leaman (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Advances in experimental medicine and biology (1 paper)Ophthalmology (1 paper)PLoS Computational Biology (1 paper)Database (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Ayush Singhal
23 papers receiving 490 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 163
- Computer Vision and Pattern Recognition 90
- Information Systems 86
- Ophthalmology 27
- Health Information Management 14
Countries citing papers authored by Ayush Singhal
This map shows the geographic impact of Ayush Singhal'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 Ayush Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Singhal more than expected).
Fields of papers citing papers by Ayush Singhal
This network shows the impact of papers produced by Ayush Singhal. 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 Ayush Singhal. The network helps show where Ayush Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayush Singhal, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 75 | |
| 2 | 2017 | 72 | |
| 3 | 2013 | 70 | |
| 4 | 2016 | 50 | |
| 5 | 2016 | 47 | |
| 6 | 2016 | 35 | |
| 7 | 2022 | 31 | |
| 8 | 2017 | 30 | |
| 9 | 2017 | 18 | |
| 10 | 2013 | 13 | |
| 11 | 2013 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2013 | 3 | |
| 20 | On Reciprocity in Massively Multi-player Online Game Networks | 2013 | 2 |
About Ayush Singhal
Ayush Singhal is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 512 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers), Genomics and Rare Diseases (3 papers), Web Data Mining and Analysis (3 papers), Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (163 citations), Computer Vision and Pattern Recognition (90 citations), Information Systems (86 citations), Ophthalmology (27 citations) and Health Information Management (14 citations). Ayush Singhal has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Zhiyong Lu, Michael A. Simmons, Pradeep K. Sinha, Jaideep Srivastava, Ankush Mittal, Praveen Kumar, Ajay Kumar, Robert Leaman, Natalie L. Catlett and Cecilia N. Arighi. Their work appears in journals such as Journal of the American Medical Informatics Association, Advances in experimental medicine and biology, Ophthalmology, PLoS Computational Biology and Database.
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.