Karmeshu
Impact in
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- Statistical Mechanics and Entropy
- Advanced Thermodynamics and Statistical Mechanics
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- Innovation Diffusion and Forecasting
Papers in
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- Statistical Mechanics and Entropy 20
- Advanced Thermodynamics and Statistical Mechanics 17
- stochastic dynamics and bifurcation 14
- Opinion Dynamics and Social Influence 8
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- Innovation Diffusion and Forecasting 11
- Co-authors
- Rajeev K. Agrawal (4 shared papers)Raj K. Pathria (7 shared papers)Sanjeev Patel (4 shared papers)Shalabh Bhatnagar (5 shared papers)Tharakkal Eroman Unny (2 shared papers)Dilip Senapati (1 shared paper)Amit Kumar Singh (2 shared papers)Nitin Kumar Bansal (4 shared papers)
In The Last Decade
Karmeshu
93 papers receiving 918 citations
Peers
Comparison fields: 5 of 109
- Statistical and Nonlinear Physics 258
- Management Science and Operations Research 133
- Computer Networks and Communications 244
- Statistics, Probability and Uncertainty 58
- Modeling and Simulation 35
Countries citing papers authored by Karmeshu
This map shows the geographic impact of Karmeshu'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 Karmeshu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karmeshu more than expected).
Fields of papers citing papers by Karmeshu
This network shows the impact of papers produced by Karmeshu. 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 Karmeshu. The network helps show where Karmeshu may publish in the future.
Co-authors
The 25 scholars most cited alongside Karmeshu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 92 | |
| 2 | 2013 | 40 | |
| 3 | 2016 | 39 | |
| 4 | 1980 | 38 | |
| 5 | 1984 | 34 | |
| 6 | 2006 | 32 | |
| 7 | 2006 | 29 | |
| 8 | 2015 | 27 | |
| 9 | 2018 | 22 | |
| 10 | 2006 | 22 | |
| 11 | 2004 | 20 | |
| 12 | 1987 | 20 | |
| 13 | 1980 | 19 | |
| 14 | 1975 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2014 | 17 | |
| 17 | 2011 | 17 | |
| 18 | 2001 | 16 | |
| 19 | 1978 | 16 | |
| 20 | 2012 | 16 |
About Karmeshu
Karmeshu is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Economics and Econometrics, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 95 papers that have together received 982 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (20 papers), Advanced Thermodynamics and Statistical Mechanics (17 papers), stochastic dynamics and bifurcation (14 papers), Innovation Diffusion and Forecasting (11 papers), Complex Systems and Time Series Analysis (10 papers), Neural dynamics and brain function (9 papers), Opinion Dynamics and Social Influence (8 papers) and Advanced MIMO Systems Optimization (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (258 citations), Management Science and Operations Research (133 citations), Computer Networks and Communications (244 citations), Statistics, Probability and Uncertainty (58 citations) and Modeling and Simulation (35 citations). Karmeshu has collaborated with scholars based in India, Canada and Mexico. Frequent co-authors include Rajeev K. Agrawal, Raj K. Pathria, Sanjeev Patel, Shalabh Bhatnagar, Tharakkal Eroman Unny, Dilip Senapati, Amit Kumar Singh, Nitin Kumar Bansal, Nikhil Ranjan Pal and HAN PING HONG. Their work appears in journals such as Journal of Mathematical Sociology, IEEE Communications Letters, IEEE Transactions on NanoBioscience, Journal of Applied Probability and Wireless Personal Communications.
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.