Rahul Singh

90 papers receiving 1.1k citations

Peers

Rahul Singh
Comparison fields: 5 of 126
  • Parasitology 222
  • Information Systems and Management 144
  • Marketing 143
  • Small Animals 103
  • Statistical and Nonlinear Physics 134
Replace Raymond A. Patterson with:
Raymond A. Patterson United States
Pradeep Kumar India
Tim Brailsford United Kingdom
Michael A. E. Hansen Denmark
Abhijit Chaudhury India
Hyunwoo Park United States
David B. Hutchinson United Kingdom
Philip O’Reilly Ireland
John James Debenham Australia
Robert John McQueen New Zealand
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Citations per field
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Raymond A. Patterson · 1×
Citations per year

Countries citing papers authored by Rahul Singh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rahul Singh Line = papers co-authored together Rahul Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008252
2 2005215
3 2012115
4 201459
5 201650
6 201744
7 201243
8 200925
9 201621
10 201719
11 201717
12 202016
13 201114
14 201414
15 201114
16 201313
17 202013
18 201611
19 201310
20 20199

About Rahul Singh

Rahul Singh is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Molecular Biology, Computational Theory and Mathematics and Management Information Systems, 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), Image Retrieval and Classification Techniques (9 papers), Web Data Mining and Analysis (9 papers), Gene expression and cancer classification (9 papers), Cell Image Analysis Techniques (8 papers), Advanced Proteomics Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Parasitology (222 citations), Information Systems and Management (144 citations), Marketing (143 citations), Small Animals (103 citations) and Statistical and Nonlinear Physics (134 citations). Rahul Singh has collaborated with scholars based in United States, India and France. Frequent co-authors include Lakshmi Shankar Iyer, Prashant Palvia, A. F. Salam, Koustuv Dasgupta, Dipanjan Chakraborty, Anupam Joshi, Balaji Viswanathan, Sougata Mukherjea, Amit A. Nanavati 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 Multimedia Tools and Applications.

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.

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