Chittaranjan Hens

2.0k total citations · 1 hit paper
68 papers, 1.5k citations indexed

About

Chittaranjan Hens is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Chittaranjan Hens has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Statistical and Nonlinear Physics, 40 papers in Computer Networks and Communications and 17 papers in Cognitive Neuroscience. Recurrent topics in Chittaranjan Hens's work include Nonlinear Dynamics and Pattern Formation (39 papers), stochastic dynamics and bifurcation (19 papers) and Neural dynamics and brain function (16 papers). Chittaranjan Hens is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (39 papers), stochastic dynamics and bifurcation (19 papers) and Neural dynamics and brain function (16 papers). Chittaranjan Hens collaborates with scholars based in India, Poland and United States. Chittaranjan Hens's co-authors include Syamal K. Dana, Pinaki Pal, Dibakar Ghosh, Arindam Mishra, Baruch Barzel, Simi Haber, Subrata Ghosh, Sayantan Nag Chowdhury, Reuven Cohen and Peng Ji and has published in prestigious journals such as Scientific Reports, Physics Reports and Nature Physics.

In The Last Decade

Chittaranjan Hens

60 papers receiving 1.4k citations

Hit Papers

Signal propagation in complex networks 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chittaranjan Hens India 22 908 823 340 189 142 68 1.5k
Peng Ji China 17 742 0.8× 1.0k 1.3× 389 1.1× 98 0.5× 105 0.7× 63 1.7k
Tanmoy Banerjee India 22 999 1.1× 1.2k 1.5× 282 0.8× 100 0.5× 132 0.9× 99 1.6k
Syamal K. Dana India 29 1.6k 1.7× 1.6k 1.9× 481 1.4× 187 1.0× 179 1.3× 104 2.3k
Wei Zou China 23 622 0.7× 1.2k 1.4× 235 0.7× 117 0.6× 109 0.8× 98 1.6k
Manish Dev Shrimali India 21 1.0k 1.1× 916 1.1× 258 0.8× 171 0.9× 124 0.9× 78 1.3k
R. Sevilla-Escoboza Mexico 18 755 0.8× 788 1.0× 261 0.8× 74 0.4× 120 0.8× 49 1.2k
Sarika Jalan India 23 875 1.0× 863 1.0× 373 1.1× 77 0.4× 45 0.3× 97 1.6k
I. Leyva Spain 20 722 0.8× 931 1.1× 538 1.6× 53 0.3× 92 0.6× 65 1.4k
Soumen Majhi India 21 1.3k 1.4× 1.4k 1.8× 896 2.6× 79 0.4× 141 1.0× 38 2.0k
Shuguang Guan China 23 965 1.1× 1.2k 1.5× 472 1.4× 70 0.4× 45 0.3× 107 1.8k

Countries citing papers authored by Chittaranjan Hens

Since Specialization
Citations

This map shows the geographic impact of Chittaranjan Hens'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 Chittaranjan Hens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chittaranjan Hens more than expected).

Fields of papers citing papers by Chittaranjan Hens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chittaranjan Hens. 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 Chittaranjan Hens. The network helps show where Chittaranjan Hens may publish in the future.

Co-authorship network of co-authors of Chittaranjan Hens

This figure shows the co-authorship network connecting the top 25 collaborators of Chittaranjan Hens. A scholar is included among the top collaborators of Chittaranjan Hens 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 Chittaranjan Hens. Chittaranjan Hens 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.
Ghosh, Subrata, et al.. (2025). Teleportation fidelity of quantum repeater networks. Physical review. A. 112(3).
2.
Ghosh, Subrata, Xue Li, Arindam Mishra, et al.. (2025). Universal nonlinear dynamics in damped and driven physical systems: From Pendula via Josephson junctions to power grids. Physics Reports. 1147. 1–112.
3.
Chakraborty, Tanujit, Arnob Ray, R. Athulya, et al.. (2025). Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(11).
4.
Minati, Ludovico, et al.. (2025). Double explosive Kuramoto transition in hypergraphs. Physical Review Research. 7(2).
5.
Ghosh, Dibakar, et al.. (2024). Coprime networks of the composite numbers: Pseudo-randomness and synchronizability. Discrete Applied Mathematics. 355. 96–110. 1 indexed citations
6.
Ghosh, Subrata, et al.. (2024). Impact of local navigation rules on biased random walks in multiplex Markov chains. Physica A Statistical Mechanics and its Applications. 654. 130122–130122.
7.
Ray, Arnob, Chittaranjan Hens, Dibakar Ghosh, et al.. (2024). Complexity measure of extreme events. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(12). 4 indexed citations
8.
Ghosh, Subrata, et al.. (2024). Impact of diffusion on synchronization pattern of epidemics in non-identical meta-population networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(10).
9.
Hens, Chittaranjan, et al.. (2024). Ecological resilience in a circular world: Mutation and extinction in five-species ecosystems. Chaos Solitons & Fractals. 180. 114548–114548. 4 indexed citations
10.
Nurujjaman, Md., et al.. (2023). Detection and forecasting of extreme events in stock price triggered by fundamental, technical, and external factors. Chaos Solitons & Fractals. 173. 113716–113716. 8 indexed citations
11.
Ghosh, Subrata, et al.. (2023). Dimension reduction in higher-order contagious phenomena. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(5). 14 indexed citations
12.
Ghosh, Subrata, K. Alfaro-Bittner, Regino Criado, et al.. (2023). Endowing networks with desired symmetries and modular behavior. Physical review. E. 108(5). 5 indexed citations
13.
Poria, Swarup, et al.. (2022). Role of assortativity in predicting burst synchronization using echo state network. Physical review. E. 105(6). 64205–64205. 9 indexed citations
14.
Chowdhury, Sayantan Nag, et al.. (2022). Controlling species densities in structurally perturbed intransitive cycles with higher-order interactions. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(10). 103122–103122. 25 indexed citations
15.
Poria, Swarup, et al.. (2021). Assortativity-induced explosive synchronization in a complex neuronal network. Physical review. E. 103(6). 62307–62307. 6 indexed citations
16.
Mishra, Arindam, Subrata Ghosh, Syamal K. Dana, Tomasz Kapitaniak, & Chittaranjan Hens. (2021). Neuron-like spiking and bursting in Josephson junctions: A review. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(5). 49 indexed citations
17.
Ghosh, Subrata, Arindam Mishra, Joydev Chattopadhyay, et al.. (2021). Reservoir computing on epidemic spreading: A case study on COVID-19 cases. Physical review. E. 104(1). 14308–14308. 34 indexed citations
18.
Chowdhury, Sayantan Nag, Dibakar Ghosh, & Chittaranjan Hens. (2020). Effect of repulsive links on frustration in attractively coupled networks. Physical review. E. 101(2). 22310–22310. 31 indexed citations
19.
Ray, Arnob, Arindam Mishra, Dibakar Ghosh, et al.. (2020). Extreme events in a network of heterogeneous Josephson junctions. Physical review. E. 101(3). 32209–32209. 51 indexed citations
20.
Ghosh, Dibakar, et al.. (2019). Emergent dynamics in delayed attractive-repulsively coupled networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(1). 13112–13112. 6 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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