K. R. Jayaprakash
- Statistical and Nonlinear Physics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Computational Mechanics top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Yuli StarosvetskyAlexander F. VakakisGaëtan KerschenM. Arif HasanOleg GendelmanLawrence A. BergmanD. Michael McFarlandChiara Daraio
- Topics
- Nonlinear Photonic Systems (25 papers)Advanced Fiber Laser Technologies (18 papers)Nonlinear Waves and Solitons (11 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsComputational Mechanics
- Partner nations
- IndiaIsraelUnited States
In The Last Decade
K. R. Jayaprakash
39 papers receiving 496 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 345
- Atomic and Molecular Physics, and Optics 203
- Biomedical Engineering 104
- Computational Mechanics 101
- Computer Networks and Communications 98
Countries citing papers authored by K. R. Jayaprakash
This map shows the geographic impact of K. R. Jayaprakash'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. Jayaprakash 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. Jayaprakash more than expected).
Fields of papers citing papers by K. R. Jayaprakash
This network shows the impact of papers produced by K. R. Jayaprakash. 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. Jayaprakash. The network helps show where K. R. Jayaprakash may publish in the future.
Co-authorship network of co-authors of K. R. Jayaprakash
This figure shows the co-authorship network connecting the top 25 collaborators of K. R. Jayaprakash. A scholar is included among the top collaborators of K. R. Jayaprakash 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. Jayaprakash. K. R. Jayaprakash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 37 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | Effective particles and classification of periodic orbits of homogeneous granular chains with no precompression | 3 |
| 18 | 11 | |
| 19 | 37 | |
| 20 | 97 |
About K. R. Jayaprakash
K. R. Jayaprakash is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 41 papers that have together received 510 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (25 papers), Advanced Fiber Laser Technologies (18 papers) and Nonlinear Waves and Solitons (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (345 citations), Atomic and Molecular Physics, and Optics (203 citations) and Computational Mechanics (101 citations). K. R. Jayaprakash has collaborated with scholars based in India, Israel and United States. Frequent co-authors include Yuli Starosvetsky, Alexander F. Vakakis, Gaëtan Kerschen, M. Arif Hasan, Oleg Gendelman, Lawrence A. Bergman, D. Michael McFarland, Chiara Daraio, Suraj Kumar Sinha and V. Balasubramani. Their work appears in journals such as Journal of Applied Physics, Journal of Applied Mechanics and Journal of Alloys and Compounds.
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.