Manish Dev Shrimali
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 1%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Awadhesh PrasadAmit SharmaPooja Rani SharmaН. В. КузнецовГ. А. ЛеоновUlrike FeudelSudeshna SinhaRamakrishna Ramaswamy
- Topics
- Nonlinear Dynamics and Pattern Formation (58 papers)stochastic dynamics and bifurcation (40 papers)Chaos control and synchronization (30 papers)
In The Last Decade
Manish Dev Shrimali
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 56
- Statistical and Nonlinear Physics 1.0k
- Computer Networks and Communications 916
- Cognitive Neuroscience 258
- Artificial Intelligence 171
- Electrical and Electronic Engineering 124
Countries citing papers authored by Manish Dev Shrimali
This map shows the geographic impact of Manish Dev Shrimali'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 Manish Dev Shrimali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Dev Shrimali more than expected).
Fields of papers citing papers by Manish Dev Shrimali
This network shows the impact of papers produced by Manish Dev Shrimali. 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 Manish Dev Shrimali. The network helps show where Manish Dev Shrimali may publish in the future.
Co-authorship network of co-authors of Manish Dev Shrimali
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Dev Shrimali. A scholar is included among the top collaborators of Manish Dev Shrimali 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 Manish Dev Shrimali. Manish Dev Shrimali 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 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 30 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 23 |
About Manish Dev Shrimali
Manish Dev Shrimali is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (58 papers), stochastic dynamics and bifurcation (40 papers) and Chaos control and synchronization (30 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Computer Networks and Communications (916 citations) and Cognitive Neuroscience (258 citations). Manish Dev Shrimali has collaborated with scholars based in India, Germany and Japan. Frequent co-authors include Awadhesh Prasad, Amit Sharma, Pooja Rani Sharma, Н. В. Кузнецов, Г. А. Леонов, Ulrike Feudel, Sudeshna Sinha, Ramakrishna Ramaswamy, Kazuyuki Aihara and HE Guo-guang. Their work appears in journals such as Scientific Reports, Physics Letters A and Neural Networks.
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.