Arindam Mishra
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Syamal K. DanaChittaranjan HensTomasz KapitaniakSuman SahaProdyot K. RoySubrata GhoshDibakar GhoshArnob Ray
- Topics
- Nonlinear Dynamics and Pattern Formation (15 papers)Neural dynamics and brain function (7 papers)stochastic dynamics and bifurcation (7 papers)
In The Last Decade
Arindam Mishra
22 papers receiving 450 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 284
- Statistical and Nonlinear Physics 270
- Cognitive Neuroscience 129
- Artificial Intelligence 79
- Electrical and Electronic Engineering 58
Countries citing papers authored by Arindam Mishra
This map shows the geographic impact of Arindam Mishra'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 Arindam Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arindam Mishra more than expected).
Fields of papers citing papers by Arindam Mishra
This network shows the impact of papers produced by Arindam Mishra. 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 Arindam Mishra. The network helps show where Arindam Mishra may publish in the future.
Co-authorship network of co-authors of Arindam Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Mishra. A scholar is included among the top collaborators of Arindam Mishra 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 Arindam Mishra. Arindam Mishra 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 | 3 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 21 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 49 | |
| 10 | 34 | |
| 11 | 19 | |
| 12 | 51 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 67 | |
| 17 | Traveling Chimera Pattern in a Neuronal Network under Local Gap Junctional and Nonlocal Chemical Synaptic Interactions | 13 |
| 18 | 4 | |
| 19 | 25 | |
| 20 | 72 |
About Arindam Mishra
Arindam Mishra is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 23 papers that have together received 459 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (15 papers), Neural dynamics and brain function (7 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (270 citations), Computer Networks and Communications (284 citations) and Cognitive Neuroscience (129 citations). Arindam Mishra has collaborated with scholars based in India, Poland and Singapore. Frequent co-authors include Syamal K. Dana, Chittaranjan Hens, Tomasz Kapitaniak, Suman Saha, Prodyot K. Roy, Subrata Ghosh, Dibakar Ghosh, Arnob Ray, Pinaki Pal and Nandadulal Bairagi. Their work appears in journals such as Physics Reports, Nonlinear Dynamics and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.