Ayush Singhal
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 4
- Semantic Web and Ontologies 3
- Advanced Text Analysis Techniques 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 (10 shared papers)Praveen Kumar (1 shared paper)Ankush Mittal (1 shared paper)Ajay Kumar (1 shared paper)Cecilia N. Arighi (1 shared paper)
- Journals
- Ophthalmology (1 paper)Advances in experimental medicine and biology (1 paper)PLoS Computational Biology (1 paper)ACM Transactions on Internet Technology (1 paper)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Ayush Singhal
22 papers receiving 436 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 161
- Computer Vision and Pattern Recognition 79
- Health Informatics 5
- Information Systems 74
- Ophthalmology 29
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 70 | |
| 2 | 2013 | 63 | |
| 3 | 2017 | 57 | |
| 4 | 2016 | 46 | |
| 5 | 2016 | 41 | |
| 6 | 2016 | 34 | |
| 7 | 2017 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2017 | 18 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2014 | 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, Genetics and Computer Networks and Communications, having authored 22 papers that have together received 457 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Genomics and Rare Diseases (4 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers), Advanced Text Analysis Techniques (3 papers), Web Data Mining and Analysis (3 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Artificial Intelligence (161 citations), Computer Vision and Pattern Recognition (79 citations), Health Informatics (5 citations), Information Systems (74 citations) and Ophthalmology (29 citations). Ayush Singhal has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Zhiyong Lu, Michael A. Simmons, Pradeep K. Sinha, Jaideep Srivastava, Praveen Kumar, Ankush Mittal, Ajay Kumar, Cecilia N. Arighi, Shawn W. Polson and Robert Leaman. Their work appears in journals such as Ophthalmology, Advances in experimental medicine and biology, PLoS Computational Biology, ACM Transactions on Internet Technology and Journal of the American Medical Informatics Association.
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.