Sudhir Kumar Singh
- Mechanics of Materials top 5%
- Biomedical Engineering top 10%
- Ocean Engineering top 5%
- Mechanical Engineering
- Materials Chemistry
- Co-authors
- Jayant K. SinghGoutam DeoAnkit SinhaV.K. TYAGIMeenakshi BajpaiAlan J. CoulsonPaul D. TealPawel A. Dmochowski
- Topics
- Phase Equilibria and Thermodynamics (12 papers)Material Dynamics and Properties (7 papers)Cognitive Radio Networks and Spectrum Sensing (6 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Physical Chemistry BIEEE Transactions on Information Theory
- Partner nations
- IndiaNew ZealandUnited States
In The Last Decade
Sudhir Kumar Singh
31 papers receiving 700 citations
Peers
Comparison fields: 5 of 81
- Mechanics of Materials 343
- Biomedical Engineering 283
- Ocean Engineering 204
- Mechanical Engineering 137
- Materials Chemistry 107
Countries citing papers authored by Sudhir Kumar Singh
This map shows the geographic impact of Sudhir Kumar 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 Sudhir Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhir Kumar Singh more than expected).
Fields of papers citing papers by Sudhir Kumar Singh
This network shows the impact of papers produced by Sudhir Kumar 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 Sudhir Kumar Singh. The network helps show where Sudhir Kumar Singh may publish in the future.
Co-authorship network of co-authors of Sudhir Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Sudhir Kumar Singh. A scholar is included among the top collaborators of Sudhir Kumar Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sudhir Kumar Singh. Sudhir Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | EFFECTIVENESS OF IN-HOUSE TRAINING ON TECHNICAL EMPLOYEES IN BIOTECH INDUSTRY | 6 |
| 8 | 1 | |
| 9 | Presumptive Coliform Count in Water Sample Collected from Different Sites of a University, Moradabad, Uttar Pradesh, India | 1 |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 11 | |
| 18 | 0 | |
| 19 | 76 | |
| 20 | 81 |
About Sudhir Kumar Singh
Sudhir Kumar Singh is a scholar working on Medical Laboratory Technology, Condensed Matter Physics and Computer Networks and Communications, having authored 35 papers that have together received 723 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (12 papers), Material Dynamics and Properties (7 papers) and Cognitive Radio Networks and Spectrum Sensing (6 papers). The work is most often cited by research in Mechanics of Materials (343 citations), Ocean Engineering (204 citations) and Nuclear and High Energy Physics (91 citations). Sudhir Kumar Singh has collaborated with scholars based in India, New Zealand and United States. Frequent co-authors include Jayant K. Singh, Goutam Deo, Ankit Sinha, V.K. TYAGI, Meenakshi Bajpai, Alan J. Coulson, Paul D. Teal, Pawel A. Dmochowski, Sandip Khan and Rajdip Bandyopadhyaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry B and IEEE Transactions on Information Theory.
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.