Supriya Krishnamurthy
- Statistical and Nonlinear Physics top 2%
- Condensed Matter Physics top 5%
- Economics and Econometrics top 5%
- Mathematical Physics top 5%
- Molecular Biology
- Co-authors
- Sreekanth K ManikandanEric SmithJ. Doyne FarmerLászló GillemotMustansir BarmaSatya N. MajumdarDeepak GuptaR. Rajesh
- Topics
- Theoretical and Computational Physics (15 papers)Material Dynamics and Properties (11 papers)Advanced Thermodynamics and Statistical Mechanics (10 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersIEEE/ACM Transactions on Networking
- Partner nations
- SwedenFranceUnited Kingdom
In The Last Decade
Supriya Krishnamurthy
45 papers receiving 906 citations
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 383
- Condensed Matter Physics 249
- Economics and Econometrics 204
- Mathematical Physics 166
- Molecular Biology 135
Countries citing papers authored by Supriya Krishnamurthy
This map shows the geographic impact of Supriya Krishnamurthy'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 Supriya Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Krishnamurthy more than expected).
Fields of papers citing papers by Supriya Krishnamurthy
This network shows the impact of papers produced by Supriya Krishnamurthy. 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 Supriya Krishnamurthy. The network helps show where Supriya Krishnamurthy may publish in the future.
Co-authorship network of co-authors of Supriya Krishnamurthy
This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Krishnamurthy. A scholar is included among the top collaborators of Supriya Krishnamurthy 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 Supriya Krishnamurthy. Supriya Krishnamurthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 25 | |
| 3 | 95 | |
| 4 | 41 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 29 | |
| 9 | 15 | |
| 10 | An Analytical Study of Consistency and Performance of DHTs under Churn | 2 |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 17 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 75 |
About Supriya Krishnamurthy
Supriya Krishnamurthy is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Mathematical Physics, having authored 47 papers that have together received 945 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (15 papers), Material Dynamics and Properties (11 papers) and Advanced Thermodynamics and Statistical Mechanics (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (383 citations), Condensed Matter Physics (249 citations) and Mathematical Physics (166 citations). Supriya Krishnamurthy has collaborated with scholars based in Sweden, France and United Kingdom. Frequent co-authors include Sreekanth K Manikandan, Eric Smith, J. Doyne Farmer, László Gillemot, Mustansir Barma, Satya N. Majumdar, Deepak Gupta, R. Rajesh, Deepak Dhar and V. B. Priezzhev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE/ACM Transactions on Networking.
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.