K. R. Parthasarathy
- Mathematical Physics top 0.2%
- Artificial Intelligence top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Statistics and Probability top 0.5%
- Statistical and Nonlinear Physics top 1%
- Co-authors
- Б. Л. С. Пракаса РаоR. L. HudsonR. Ranga RaoV. S. VaradarajanRajendra BhatiaKalyan B. SinhaS. R. S. VaradhanJ. Martin Lindsay
- Topics
- Quantum Information and Cryptography (25 papers)Quantum Mechanics and Applications (16 papers)Advanced Operator Algebra Research (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationTechnometrics
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
K. R. Parthasarathy
71 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Mathematical Physics 1.6k
- Artificial Intelligence 1.5k
- Atomic and Molecular Physics, and Optics 1.4k
- Statistics and Probability 778
- Statistical and Nonlinear Physics 643
Countries citing papers authored by K. R. Parthasarathy
This map shows the geographic impact of K. R. Parthasarathy'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 K. R. Parthasarathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. R. Parthasarathy more than expected).
Fields of papers citing papers by K. R. Parthasarathy
This network shows the impact of papers produced by K. R. Parthasarathy. 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 K. R. Parthasarathy. The network helps show where K. R. Parthasarathy may publish in the future.
Co-authorship network of co-authors of K. R. Parthasarathy
This figure shows the co-authorship network connecting the top 25 collaborators of K. R. Parthasarathy. A scholar is included among the top collaborators of K. R. Parthasarathy 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 K. R. Parthasarathy. K. R. Parthasarathy 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 | 1 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 20 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 36 | |
| 9 | 5 | |
| 10 | Quantum Ito's formula and stochastic evolutionsbreakdown → | 675 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 112 | |
| 18 | 55 | |
| 19 | 6 | |
| 20 | 37 |
About K. R. Parthasarathy
K. R. Parthasarathy is a scholar working on Mathematical Physics, Algebra and Number Theory and Statistics and Probability, having authored 75 papers that have together received 4.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (25 papers), Quantum Mechanics and Applications (16 papers) and Advanced Operator Algebra Research (11 papers). The work is most often cited by research in Mathematical Physics (1.6k citations), Statistics and Probability (778 citations) and Algebra and Number Theory (338 citations). K. R. Parthasarathy has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Б. Л. С. Пракаса Рао, R. L. Hudson, R. Ranga Rao, V. S. Varadarajan, Rajendra Bhatia, Kalyan B. Sinha, S. R. S. Varadhan, J. Martin Lindsay, Marius Iosifescu and K. Schmidt. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.
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.