Manish Dev Shrimali

1.6k total citations
78 papers, 1.3k citations indexed

About

Manish Dev Shrimali is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Manish Dev Shrimali has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Networks and Communications, 55 papers in Statistical and Nonlinear Physics and 23 papers in Cognitive Neuroscience. Recurrent topics in Manish Dev Shrimali's work include Nonlinear Dynamics and Pattern Formation (58 papers), stochastic dynamics and bifurcation (40 papers) and Chaos control and synchronization (30 papers). Manish Dev Shrimali is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (58 papers), stochastic dynamics and bifurcation (40 papers) and Chaos control and synchronization (30 papers). Manish Dev Shrimali collaborates with scholars based in India, Germany and Japan. Manish Dev Shrimali's 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 and has published in prestigious journals such as Scientific Reports, Physics Letters A and Neural Networks.

In The Last Decade

Manish Dev Shrimali

74 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manish Dev Shrimali India 21 1.0k 916 258 171 124 78 1.3k
R. Sevilla-Escoboza Mexico 18 755 0.7× 788 0.9× 261 1.0× 74 0.4× 120 1.0× 49 1.2k
Chittaranjan Hens India 22 908 0.9× 823 0.9× 340 1.3× 189 1.1× 142 1.1× 68 1.5k
R. Jaimes-Reátegui Mexico 19 932 0.9× 796 0.9× 304 1.2× 118 0.7× 199 1.6× 91 1.3k
Tanmoy Banerjee India 22 999 1.0× 1.2k 1.3× 282 1.1× 100 0.6× 132 1.1× 99 1.6k
K. Thamilmaran India 24 1.3k 1.3× 923 1.0× 246 1.0× 90 0.5× 254 2.0× 77 1.5k
D. V. Senthilkumar India 20 835 0.8× 1.1k 1.2× 281 1.1× 66 0.4× 61 0.5× 98 1.3k
Dawid Dudkowski Poland 15 906 0.9× 811 0.9× 193 0.7× 50 0.3× 92 0.7× 32 1.2k
P. Parmananda India 28 1.4k 1.4× 1.5k 1.6× 372 1.4× 78 0.5× 149 1.2× 154 2.2k
G. Huerta-Cuéllar Mexico 15 598 0.6× 411 0.4× 113 0.4× 84 0.5× 132 1.1× 66 833
Fabing Duan China 19 896 0.9× 353 0.4× 181 0.7× 101 0.6× 69 0.6× 62 1.2k

Countries citing papers authored by Manish Dev Shrimali

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Shrimali, Manish Dev, et al.. (2025). Adaptive control of dynamical systems using reservoir computing. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(9).
2.
Shrimali, Manish Dev, et al.. (2025). Graph neural network for prediction of phase-ordering kinetics. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(6).
3.
Shrimali, Manish Dev, et al.. (2024). Predicting multi-parametric dynamics of an externally forced oscillator using reservoir computing and minimal data. Nonlinear Dynamics. 113(7). 5977–5990. 6 indexed citations
4.
Shrimali, Manish Dev, et al.. (2024). Tipping in Stuart-Landau oscillators induced by higher-order repulsive interactions. Physical review. E. 110(4). 44211–44211. 1 indexed citations
5.
Thamilmaran, K., et al.. (2023). Hidden strange nonchaotic dynamics in a non-autonomous model. Chaos Solitons & Fractals. 168. 113101–113101. 1 indexed citations
6.
Tripathi, Jai Prakash, et al.. (2023). Cannibalistic enemy–pest model: effect of additional food and harvesting. Journal of Mathematical Biology. 87(4). 58–58. 8 indexed citations
7.
Shrimali, Manish Dev, et al.. (2023). Machine learning based prediction of phase ordering dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(6). 7 indexed citations
8.
Kumarasamy, Suresh, et al.. (2023). Saddle-node bifurcation of periodic orbit route to hidden attractors. Physical review. E. 107(5). L052201–L052201. 14 indexed citations
9.
Prasad, Awadhesh, et al.. (2023). Augmented dynamics of nonlinear systems: A review. Europhysics Letters (EPL). 145(1). 13001–13001.
10.
Jalan, Sarika, et al.. (2023). First-order transition to oscillation death in coupled oscillators with higher-order interactions. Physical review. E. 108(4). 44207–44207. 14 indexed citations
11.
Shrimali, Manish Dev, et al.. (2022). Explosive synchronization induced by environmental coupling. Physics Letters A. 441. 128147–128147. 4 indexed citations
12.
Sinha, Sudeshna, et al.. (2022). Machine-learning potential of a single pendulum. Physical review. E. 105(5). 54203–54203. 14 indexed citations
13.
Hens, Chittaranjan, et al.. (2022). Model-free prediction of multistability using echo state network. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(10). 101104–101104. 30 indexed citations
14.
Prasad, Awadhesh, et al.. (2021). Chimera states in a class of hidden oscillatory networks. Nonlinear Dynamics. 104(2). 1645–1655. 8 indexed citations
15.
Shrimali, Manish Dev, et al.. (2021). Achieving criticality for reservoir computing using environment-induced explosive death. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(3). 31101–31101. 10 indexed citations
16.
Kurths, Jürgen, et al.. (2021). Enhanced synchronization due to intermittent noise. New Journal of Physics. 23(11). 112001–112001. 11 indexed citations
17.
Shrimali, Manish Dev, et al.. (2020). Aging in global networks with competing attractive—Repulsive interaction. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(12). 123112–123112. 10 indexed citations
18.
Shrimali, Manish Dev, et al.. (2020). Host–parasite coevolution: Role of selection, mutation, and asexual reproduction on evolvability. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(7). 73103–73103. 1 indexed citations
19.
Shrimali, Manish Dev, et al.. (2019). Universal transition to inactivity in global mixed coupling. Physics Letters A. 383(17). 2056–2060. 4 indexed citations
20.
Sharma, Amit, et al.. (2019). The dynamics of two coupled Van der Pol oscillators with attractive and repulsive coupling. Physics Letters A. 383(32). 125930–125930. 23 indexed citations

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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