Karmeshu

1.2k citations
89 papers · 826 indexed · h-index 16

Impact in

Papers in

Karmeshu

86 papers receiving 776 citations

Peers

Karmeshu
Comparison fields: 5 of 101
  • Statistical and Nonlinear Physics 196
  • Management Science and Operations Research 115
  • Computer Networks and Communications 206
  • Statistics, Probability and Uncertainty 53
  • Management Information Systems 56
Replace George P. Papavassilopoulos with:
George P. Papavassilopoulos United States
Tao Wen China
Dean Isaacson United States
Silviu Guiaşu Canada
Lakhdar Aggoun Oman
Nuno C. Martins United States
P. A. P. Morán
Vladimir Boginski United States
Stan Zachary United Kingdom
Jacob Engwerda Netherlands
Karmeshu relative to George P. Papavassilopoulos United States George P. Papavassilopoulos's profile →
Citations per field
00.5×5.1×
George P. Papavassilopoulos · 1×
Citations per year

Countries citing papers authored by Karmeshu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Karmeshu Line = papers co-authored together Karmeshu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200680
2 201338
3 201636
4 198034
5 200631
6 200628
7 198426
8 201821
9 198019
10 198719
11 200418
12 200618
13 201518
14 197517
15 201716
16 201216
17 197814
18 198514
19 201113
20 200113

About Karmeshu

Karmeshu is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Economics and Econometrics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 89 papers that have together received 826 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (17 papers), Advanced Thermodynamics and Statistical Mechanics (16 papers), stochastic dynamics and bifurcation (13 papers), Innovation Diffusion and Forecasting (9 papers), Neural dynamics and brain function (9 papers), Complex Systems and Time Series Analysis (8 papers), Advanced MIMO Systems Optimization (7 papers) and Advanced Wireless Communication Techniques (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (196 citations), Management Science and Operations Research (115 citations), Computer Networks and Communications (206 citations), Statistics, Probability and Uncertainty (53 citations) and Management Information Systems (56 citations). Karmeshu has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Rajeev Agrawal, R. K. Pathria, Sanjeev Patel, Shalabh Bhatnagar, T. E. Unny, N.K. Bansal, Amit Kumar Singh, Dilip Senapati, Rajeev Kumar Singh and N. K. Jaiswal. Their work appears in journals such as Journal of Mathematical Sociology, IEEE Communications Letters, IEEE Transactions on NanoBioscience, Wireless Personal Communications and Journal of Applied Probability.

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.

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