Rahul Singh
Impact in
- Parasitology top 2%
- Parasites and Host Interactions
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- Technology Adoption and User Behaviour
Papers in
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- Bioinformatics and Genomic Networks 12
- Gene expression and cancer classification 9
- Metabolomics and Mass Spectrometry Studies 8
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- Image Retrieval and Classification Techniques 9
- Co-authors
- Lakshmi Iyer (5 shared papers)A. F. Salam (4 shared papers)Prashant Palvia (1 shared paper)Anupam Joshi (1 shared paper)V. Balaji (1 shared paper)Sougata Mukherjea (1 shared paper)Koustuv Dasgupta (1 shared paper)Amit A. Nanavati (1 shared paper)
- Journals
- Journal of the Association for Information Systems (10 papers)BMC Bioinformatics (8 papers)Bioinformatics (5 papers)IEEE Transactions on NanoBioscience (3 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Rahul Singh
89 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Parasitology 215
- Information Systems and Management 149
- Marketing 148
- Small Animals 101
- Statistical and Nonlinear Physics 135
Countries citing papers authored by Rahul Singh
This map shows the geographic impact of Rahul Singh'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 Rahul Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Singh more than expected).
Fields of papers citing papers by Rahul Singh
This network shows the impact of papers produced by Rahul Singh. 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 Rahul Singh. The network helps show where Rahul Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Rahul Singh, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 261 | |
| 2 | 2005 | 216 | |
| 3 | 2012 | 107 | |
| 4 | 2014 | 58 | |
| 5 | 2016 | 44 | |
| 6 | 2012 | 43 | |
| 7 | 2017 | 42 | |
| 8 | 2009 | 25 | |
| 9 | 2016 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2014 | 14 | |
| 14 | 2011 | 14 | |
| 15 | 2011 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2013 | 13 | |
| 18 | 2016 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2013 | 10 |
About Rahul Singh
Rahul Singh is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 103 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Computational Drug Discovery Methods (10 papers), Gene expression and cancer classification (9 papers), Web Data Mining and Analysis (9 papers), Image Retrieval and Classification Techniques (9 papers), Cell Image Analysis Techniques (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Advanced Proteomics Techniques and Applications (7 papers). The work is most often cited by research in Parasitology (215 citations), Information Systems and Management (149 citations), Marketing (148 citations), Small Animals (101 citations) and Statistical and Nonlinear Physics (135 citations). Rahul Singh has collaborated with scholars based in United States, India and France. Frequent co-authors include Lakshmi Iyer, A. F. Salam, Prashant Palvia, Anupam Joshi, V. Balaji, Sougata Mukherjea, Koustuv Dasgupta, Amit A. Nanavati, Dipanjan Chakraborty and Conor R. Caffrey. Their work appears in journals such as Journal of the Association for Information Systems, BMC Bioinformatics, Bioinformatics, IEEE Transactions on NanoBioscience and PLoS neglected tropical diseases.
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.