Satwinder Singh
Impact in
- Software top 2%
- Software Reliability and Analysis Research
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- Topological and Geometric Data Analysis
Papers in
- Software 26
- Software Reliability and Analysis Research 26
- Software Testing and Debugging Techniques 11
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- Software Engineering Research 27
- Co-authors
- Gunnar CarlssonFacundo MémoliYvette van KooykKaranjeet Singh KahlonMeenakshi MeenakshiSergey R. KonstantinovSven C. M. BruijnsDaniel Mollé
- Journals
- Cancer Immunology Immunotherapy (4 papers)Scientific Reports (3 papers)Journal of Biomolecular Structure and Dynamics (3 papers)Molecular Immunology (3 papers)Indian Journal of Science and Technology (2 papers)
- Partner nations
- IndiaNetherlandsUnited States
In The Last Decade
Satwinder Singh
88 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Software 208
- Computational Theory and Mathematics 488
- Biophysics 167
- Immunology 576
- Information Systems 374
Countries citing papers authored by Satwinder Singh
This map shows the geographic impact of Satwinder 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 Satwinder Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satwinder Singh more than expected).
Fields of papers citing papers by Satwinder Singh
This network shows the impact of papers produced by Satwinder 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 Satwinder Singh. The network helps show where Satwinder Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Satwinder 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 4 | |
| 16 | Influence of Anti-Patterns on Software Maintenance: A Review | 2015 | 5 |
| 17 | 2013 | 57 | |
| 18 | The topology of politics : voting connectivity in the US House of Representatives | 2012 | 1 |
| 19 | 2010 | 2 | |
| 20 | 2009 | 165 |
About Satwinder Singh
Satwinder Singh is a scholar working on Software, Information Systems, Immunology, Signal Processing and General Agricultural and Biological Sciences, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Software Engineering Research (27 papers), Software Reliability and Analysis Research (26 papers), Immunotherapy and Immune Responses (18 papers), Software Testing and Debugging Techniques (11 papers), T-cell and B-cell Immunology (9 papers), RNA Interference and Gene Delivery (8 papers), Immune Cell Function and Interaction (8 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Software (208 citations), Computational Theory and Mathematics (488 citations), Biophysics (167 citations), Immunology (576 citations) and Information Systems (374 citations). Satwinder Singh has collaborated with scholars based in India, Netherlands and United States. Frequent co-authors include Gunnar Carlsson, Facundo Mémoli, Yvette van Kooyk, Karanjeet Singh Kahlon, Meenakshi Meenakshi, Sergey R. Konstantinov, Sven C. M. Bruijns, Daniel Mollé, Florence Valence and Willem M. de Vos. Their work appears in journals such as Cancer Immunology Immunotherapy, Scientific Reports, Journal of Biomolecular Structure and Dynamics, Molecular Immunology and Indian Journal of Science and Technology.
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.