Sudeshna Sinha

4.6k total citations
162 papers, 3.6k citations indexed

About

Sudeshna Sinha is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Sudeshna Sinha has authored 162 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Statistical and Nonlinear Physics, 75 papers in Computer Networks and Communications and 31 papers in Artificial Intelligence. Recurrent topics in Sudeshna Sinha's work include Nonlinear Dynamics and Pattern Formation (75 papers), Chaos control and synchronization (47 papers) and stochastic dynamics and bifurcation (46 papers). Sudeshna Sinha is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (75 papers), Chaos control and synchronization (47 papers) and stochastic dynamics and bifurcation (46 papers). Sudeshna Sinha collaborates with scholars based in India, United States and Germany. Sudeshna Sinha's co-authors include William L. Ditto, K. Murali, Vivek Kohar, Adi R. Bulsara, Debabrata Biswas, Anshul Choudhary, Ramakrishna Ramaswamy, Toshinori Munakata, Jürgen Kurths and Neelima Gupte and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Sudeshna Sinha

158 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudeshna Sinha India 37 2.4k 1.5k 692 639 530 162 3.6k
K. Murali India 32 2.6k 1.0× 1.6k 1.1× 427 0.6× 279 0.4× 359 0.7× 97 3.2k
Renato Spigler Italy 21 1.2k 0.5× 2.2k 1.5× 376 0.5× 813 1.3× 205 0.4× 135 3.8k
Cristina Masoller Spain 35 2.4k 1.0× 2.2k 1.5× 518 0.7× 737 1.2× 279 0.5× 203 4.6k
Wolfgang Kinzel Germany 39 1.4k 0.6× 992 0.7× 1.1k 1.6× 417 0.7× 243 0.5× 171 4.4k
Yuri Maistrenko Ukraine 32 2.3k 1.0× 3.8k 2.6× 247 0.4× 1.4k 2.3× 210 0.4× 67 4.6k
Murilo S. Baptista United Kingdom 26 1.4k 0.6× 901 0.6× 330 0.5× 408 0.6× 234 0.4× 116 2.5k
Ido Kanter Israel 38 1.7k 0.7× 1.6k 1.1× 2.0k 2.9× 855 1.3× 422 0.8× 192 4.9k
Grigory V. Osipov Russia 27 3.7k 1.5× 4.1k 2.8× 206 0.3× 1.4k 2.1× 301 0.6× 112 5.2k
Serhiy Yanchuk Germany 33 1.7k 0.7× 2.3k 1.5× 264 0.4× 768 1.2× 137 0.3× 110 2.9k
J. Nagumo Japan 11 1.9k 0.8× 1.6k 1.1× 484 0.7× 1.3k 2.0× 273 0.5× 19 3.8k

Countries citing papers authored by Sudeshna Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Sudeshna Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeshna Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Sudeshna Sinha. A scholar is included among the top collaborators of Sudeshna Sinha 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 Sudeshna Sinha. Sudeshna Sinha 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.
Sinha, Sudeshna, et al.. (2025). Evolution beats random chance: Performance-dependent network evolution for enhanced computational capacity. Physical review. E. 111(1). 14320–14320. 4 indexed citations
2.
Murali, K. & Sudeshna Sinha. (2025). Deterministic chaos for parallel invertible logic. Physical Review Applied. 23(3).
3.
Sinha, Sudeshna, et al.. (2024). Impact of random links on neuronal extreme events. Chaos Solitons & Fractals. 180. 114568–114568. 3 indexed citations
4.
Parmananda, P., et al.. (2022). Quenching of oscillations in a liquid metal via attenuated coupling. Physical review. E. 105(3). L032201–L032201. 3 indexed citations
5.
Sinha, Sudeshna, et al.. (2022). Machine-learning potential of a single pendulum. Physical review. E. 105(5). 54203–54203. 14 indexed citations
6.
Parmananda, P., et al.. (2021). Ill-matched timescales in coupled systems can induce oscillation suppression. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(10). 103104–103104. 3 indexed citations
7.
Miller, Scott T., John F. Lindner, Anshul Choudhary, Sudeshna Sinha, & William L. Ditto. (2021). Negotiating the separatrix with machine learning. Nonlinear Theory and Its Applications IEICE. 12(2). 134–142. 3 indexed citations
8.
Miller, Scott T., John F. Lindner, Anshul Choudhary, Sudeshna Sinha, & William L. Ditto. (2020). The scaling of physics-informed machine learning with data and dimensions. SHILAP Revista de lepidopterología. 5. 100046–100046. 11 indexed citations
9.
Choudhary, Anshul, et al.. (2020). Physics-enhanced neural networks learn order and chaos. Physical review. E. 101(6). 62207–62207. 54 indexed citations
10.
Sinha, Sudeshna, et al.. (2017). Emergence of Persistent Infection due to Heterogeneity. Scientific Reports. 7(1). 41582–41582. 4 indexed citations
11.
Kohar, Vivek, Peng Ji, Anshul Choudhary, Sudeshna Sinha, & Jürgen Kurths. (2014). Synchronization in time-varying networks. Physical Review E. 90(2). 22812–22812. 73 indexed citations
12.
Hellen, Edward H., et al.. (2013). Noise-Aided Logic in an Electronic Analog of Synthetic Genetic Networks. PLoS ONE. 8(10). e76032–e76032. 36 indexed citations
13.
Murali, K. V. R. M., Sudeshna Sinha, Adi R. Bulsara, A. Dari, & William L. Ditto. (2011). Noise Enhanced Logic Gates. AIP conference proceedings. 67–77. 3 indexed citations
14.
Murali, K., Sudeshna Sinha, William L. Ditto, & Adi R. Bulsara. (2009). Reliable Logic Circuit Elements that Exploit Nonlinearity in the Presence of a Noise Floor. Physical Review Letters. 102(10). 104101–104101. 166 indexed citations
15.
Sonawane, Abhijeet R., et al.. (2007). Synchronization in a network of model neurons. Physical Review E. 75(2). 26215–26215. 31 indexed citations
16.
Sinha, Sitabhra & Sudeshna Sinha. (2006). Robust emergent activity in dynamical networks. Physical Review E. 74(6). 66117–66117. 13 indexed citations
17.
Sinha, Sudeshna. (2004). Consequences of nonlocal connections in networks of chaotic maps under threshold activated coupling. Physical Review E. 69(6). 66209–66209. 5 indexed citations
18.
Sinha, Sudeshna, Toshinori Munakata, & William L. Ditto. (2002). Flexible parallel implementation of logic gates using chaotic elements. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(3). 36216–36216. 40 indexed citations
19.
Biswas, Debabrata & Sudeshna Sinha. (1999). Distribution of Husimi zeros in polygonal billiards. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(1). 408–415. 13 indexed citations
20.
Sinha, Sudeshna & William L. Ditto. (1999). Computing with distributed chaos. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(1). 363–377. 76 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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