Ayush Singhal
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
-
- Recommender Systems and Techniques 3
- Information Retrieval and Search Behavior 2
-
- Complex Network Analysis Techniques 3
- Co-authors
- Zhiyong Lu (5 shared papers)Jaideep Srivastava (11 shared papers)Pradeep K. Sinha (1 shared paper)Ankush Mittal (1 shared paper)Praveen Kumar (1 shared paper)Ioannis Xénarios (1 shared paper)Cecilia N. Arighi (1 shared paper)Natalie L. Catlett (1 shared paper)
- Journals
- Ophthalmology (1 paper)Database (1 paper)ACM Transactions on Internet Technology (1 paper)Advances in experimental medicine and biology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Ayush Singhal
20 papers receiving 440 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 14
- Information Systems 103
- Hardware and Architecture 28
- Ophthalmology 32
- Medical Terminology 1
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2013 | 74 | |
| 3 | 2017 | 73 | |
| 4 | 2016 | 49 | |
| 5 | 2016 | 47 | |
| 6 | 2016 | 35 | |
| 7 | 2017 | 31 | |
| 8 | 2017 | 18 | |
| 9 | 2013 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 2013 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2013 | 3 | |
| 17 | On Reciprocity in Massively Multi-player Online Game Networks | 2013 | 2 |
| 18 | 2014 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2014 | 1 |
About Ayush Singhal
Ayush Singhal is a scholar working on Information Systems, Statistical and Nonlinear Physics, Artificial Intelligence, General Social Sciences and Molecular Biology, having authored 20 papers that have together received 473 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Recommender Systems and Techniques (3 papers), Complex Network Analysis Techniques (3 papers), Digital Games and Media (2 papers), Advanced Text Analysis Techniques (2 papers), Information Retrieval and Search Behavior (2 papers), Semantic Web and Ontologies (2 papers) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (14 citations), Information Systems (103 citations), Hardware and Architecture (28 citations), Ophthalmology (32 citations) and Medical Terminology (1 citation). Ayush Singhal has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Zhiyong Lu, Jaideep Srivastava, Pradeep K. Sinha, Ankush Mittal, Praveen Kumar, Ioannis Xénarios, Cecilia N. Arighi, Natalie L. Catlett, Shawn W. Polson and Thomas Lemberger. Their work appears in journals such as Ophthalmology, Database, ACM Transactions on Internet Technology, Advances in experimental medicine and biology and PLoS Computational Biology.
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.