Rishabh Singh
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Neural Networks and Applications 4
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- Advanced Neural Network Applications 3
- Co-authors
- Andreas Luch (4 shared papers)Anurag Kanase (4 shared papers)Peter Laux (4 shared papers)Daniel Rosenkranz (4 shared papers)Mohammad Hasan Dad Ansari (3 shared papers)Romi Singh Maharjan (1 shared paper)Fabian L. Kriegel (1 shared paper)Katherina Siewert (1 shared paper)
- Journals
- Blood (4 papers)Journal of Clinical Oncology (2 papers)IEEE Transactions on Microwave Theory and Techniques (1 paper)Advanced Healthcare Materials (1 paper)International Journal of Human Capital and Information Technology Professionals (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Rishabh Singh
24 papers receiving 643 citations
Peers
Comparison fields: 5 of 128
- Health Informatics 9
- Computational Theory and Mathematics 93
- Biomaterials 68
- Neurology 38
- Biomedical Engineering 185
Countries citing papers authored by Rishabh Singh
This map shows the geographic impact of Rishabh 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 Rishabh Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishabh Singh more than expected).
Fields of papers citing papers by Rishabh Singh
This network shows the impact of papers produced by Rishabh 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 Rishabh Singh. The network helps show where Rishabh Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Rishabh 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 248 | |
| 2 | 2020 | 132 | |
| 3 | 2020 | 116 | |
| 4 | 2020 | 40 | |
| 5 | 2023 | 35 | |
| 6 | 2022 | 22 | |
| 7 | 1993 | 19 | |
| 8 | 2013 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework | 2020 | 2 |
| 15 | 2018 | 2 | |
| 16 | 2023 | 2 | |
| 17 | Fungal Flora of Vermicompost and Organic Manure : A case Study of Molecular Diversity of Mucor racemosus using RAPD Analysis | 2013 | 1 |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Rishabh Singh
Rishabh Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 31 papers that have together received 667 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Advanced Neural Network Applications (3 papers), Computational Drug Discovery Methods (3 papers), COVID-19 and Mental Health (2 papers), Biomedical Ethics and Regulation (2 papers), Model Reduction and Neural Networks (2 papers), Nanoparticles: synthesis and applications (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Health Informatics (9 citations), Computational Theory and Mathematics (93 citations), Biomaterials (68 citations), Neurology (38 citations) and Biomedical Engineering (185 citations). Rishabh Singh has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Andreas Luch, Anurag Kanase, Peter Laux, Daniel Rosenkranz, Mohammad Hasan Dad Ansari, Romi Singh Maharjan, Fabian L. Kriegel, Katherina Siewert, Ajay Vikram Singh and Blair D. Johnston. Their work appears in journals such as Blood, Journal of Clinical Oncology, IEEE Transactions on Microwave Theory and Techniques, Advanced Healthcare Materials and International Journal of Human Capital and Information Technology Professionals.
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.