Soumen Majhi
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Dibakar GhoshMatjaž PercBidesh K. BeraSrilena KunduSarbendu RakshitSayantan Nag ChowdhuryJürgen KurthsMahmut Özer
- Topics
- Nonlinear Dynamics and Pattern Formation (31 papers)Neural dynamics and brain function (15 papers)stochastic dynamics and bifurcation (15 papers)
In The Last Decade
Soumen Majhi
37 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 1.4k
- Statistical and Nonlinear Physics 1.3k
- Cognitive Neuroscience 896
- Biomedical Engineering 258
- Electrical and Electronic Engineering 141
Countries citing papers authored by Soumen Majhi
This map shows the geographic impact of Soumen Majhi'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 Soumen Majhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumen Majhi more than expected).
Fields of papers citing papers by Soumen Majhi
This network shows the impact of papers produced by Soumen Majhi. 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 Soumen Majhi. The network helps show where Soumen Majhi may publish in the future.
Co-authorship network of co-authors of Soumen Majhi
This figure shows the co-authorship network connecting the top 25 collaborators of Soumen Majhi. A scholar is included among the top collaborators of Soumen Majhi 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 Soumen Majhi. Soumen Majhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 30 | |
| 4 | 17 | |
| 5 | Dynamics on higher-order networks: a reviewbreakdown → | 353 |
| 6 | The synchronized dynamics of time-varying networksbreakdown → | 116 |
| 7 | 27 | |
| 8 | 11 | |
| 9 | 94 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 51 | |
| 13 | 31 | |
| 14 | Chimera states in neuronal networks: A reviewbreakdown → | 378 |
| 15 | 26 | |
| 16 | 58 | |
| 17 | 8 | |
| 18 | 202 | |
| 19 | 29 | |
| 20 | 82 |
About Soumen Majhi
Soumen Majhi is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (31 papers), Neural dynamics and brain function (15 papers) and stochastic dynamics and bifurcation (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Computer Networks and Communications (1.4k citations) and Cognitive Neuroscience (896 citations). Soumen Majhi has collaborated with scholars based in India, Slovenia and Israel. Frequent co-authors include Dibakar Ghosh, Matjaž Perc, Bidesh K. Bera, Srilena Kundu, Sarbendu Rakshit, Sayantan Nag Chowdhury, Jürgen Kurths, Mahmut Özer, K. Alfaro-Bittner and Alessandro Rizzo. Their work appears in journals such as Physics Reports, Physics Letters A and Europhysics Letters (EPL).
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.