Sourav Rana

1.1k total citations
30 papers, 780 citations indexed

About

Sourav Rana is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Sourav Rana has authored 30 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 15 papers in Genetics and 11 papers in Modeling and Simulation. Recurrent topics in Sourav Rana's work include Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Evolution and Genetic Dynamics (13 papers) and COVID-19 epidemiological studies (7 papers). Sourav Rana is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Evolution and Genetic Dynamics (13 papers) and COVID-19 epidemiological studies (7 papers). Sourav Rana collaborates with scholars based in India, Oman and United States. Sourav Rana's co-authors include Joydev Chattopadhyay, Tridip Sardar, Sabyasachi Bhattacharya, Sudip Samanta, Sk Shahid Nadim, Joydev Chattopadhyay, A. K. Misra, Anupama Sharma, Kamel Al‐Khaled and Amiya Ranjan Bhowmick and has published in prestigious journals such as Journal of Theoretical Biology, Ecological Modelling and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Sourav Rana

27 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sourav Rana India 13 530 500 216 118 77 30 780
Juhua Liang China 14 399 0.8× 238 0.5× 193 0.9× 95 0.8× 53 0.7× 25 792
Soufiane Bentout Algeria 17 615 1.2× 557 1.1× 294 1.4× 58 0.5× 67 0.9× 34 816
Kankan Sarkar India 12 430 0.8× 451 0.9× 211 1.0× 184 1.6× 19 0.2× 13 746
Uttam Ghosh India 21 814 1.5× 605 1.2× 483 2.2× 114 1.0× 129 1.7× 96 1.2k
Jean Jules Tewa Cameroon 16 621 1.2× 484 1.0× 359 1.7× 74 0.6× 111 1.4× 55 865
Mohd Hafiz Mohd Malaysia 16 385 0.7× 348 0.7× 200 0.9× 70 0.6× 35 0.5× 49 601
Tridip Sardar India 12 359 0.7× 477 1.0× 88 0.4× 109 0.9× 70 0.9× 22 631
Bruno Buonomo Italy 21 1.1k 2.0× 908 1.8× 577 2.7× 138 1.2× 120 1.6× 59 1.3k

Countries citing papers authored by Sourav Rana

Since Specialization
Citations

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

Fields of papers citing papers by Sourav Rana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav Rana

This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Rana. A scholar is included among the top collaborators of Sourav Rana 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 Sourav Rana. Sourav Rana 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.
Hassan, Sk. Sarif, Krishna Pada Das, A. Mohsen, et al.. (2025). Exploring Neimark-Sacker Bifurcation and Chaos Control in a Tri-species Discrete-Time Model. Iranian Journal of Science. 49(4). 1075–1095. 4 indexed citations
2.
Rana, Sourav, et al.. (2025). Dynamic Analysis of Nonlinear Stochastic DENGUE Epidemic Model. Journal of Applied Nonlinear Dynamics. 14(3). 745–755.
3.
4.
Ghosh, Salil, et al.. (2024). Insights of infected Schwann cells extinction and inherited randomness in a stochastic model of leprosy. Mathematical Biosciences. 376. 109281–109281. 2 indexed citations
5.
Rana, Sourav, et al.. (2024). Impact of Honest Signal, Cues, Prey’s Experience Rate and Environmental Toxicity in a Predator–Prey Interaction Model. Biophysical Reviews and Letters. 19(3). 209–239. 5 indexed citations
6.
Samanta, Sudip, et al.. (2024). Impact of Predator-Driven Allee and Spatiotemporal Effect on a Simple Predator–Prey Model. International Journal of Bifurcation and Chaos. 34(4). 4 indexed citations
7.
Rana, Sourav, Amar Nath Chatterjee, & Fahad Al Basir. (2024). Dynamic Analysis of Nonlinear Stochastic ROTA Virus Epidemic Model. International Journal of Applied and Computational Mathematics. 10(2). 4 indexed citations
8.
Rana, Sourav, et al.. (2024). Interaction intensity in strategic fitness: A quantifying yardstick of selection optimization for evolutionary game. Mathematical Biosciences. 375. 109241–109241.
9.
Rana, Sourav, Sabyasachi Bhattacharya, & Sudip Samanta. (2022). Complex Dynamics of a Three-Species Food Chain Model with Fear and Allee Effect. International Journal of Bifurcation and Chaos. 32(6). 14 indexed citations
10.
Sardar, Tridip, Sk Shahid Nadim, & Sourav Rana. (2022). Detection of multiple waves for COVID-19 and its optimal control through media awareness and vaccination: study based on some Indian states. Nonlinear Dynamics. 111(2). 1903–1920. 7 indexed citations
11.
Rana, Sourav, et al.. (2021). Impact of intervention on the spread of COVID-19 in India: A model based study. Journal of Theoretical Biology. 523. 110711–110711. 34 indexed citations
12.
Pati, N. C., et al.. (2021). Bifurcations and multistability in a food chain model with nanoparticles. Mathematics and Computers in Simulation. 190. 808–825. 21 indexed citations
13.
Sardar, Tridip, Sk Shahid Nadim, Sourav Rana, & Joydev Chattopadhyay. (2020). Assessment of lockdown effect in some states and overall India: A predictive mathematical study on COVID-19 outbreak. Chaos Solitons & Fractals. 139. 110078–110078. 136 indexed citations
14.
Pal, Nikhil, Sudip Samanta, & Sourav Rana. (2017). The Impact of Constant Immigration on a Tri-trophic Food Chain Model. International Journal of Applied and Computational Mathematics. 3(4). 3615–3644. 17 indexed citations
15.
Samanta, Sudip, et al.. (2016). Stability and bifurcation analysis of an eco-epidemiological model with multiple delays. Nonlinear studies. 23(2). 167–208. 10 indexed citations
16.
Sardar, Tridip, Sourav Rana, Sabyasachi Bhattacharya, Kamel Al‐Khaled, & Joydev Chattopadhyay. (2015). A generic model for a single strain mosquito-transmitted disease with memory on the host and the vector. Mathematical Biosciences. 263. 18–36. 78 indexed citations
17.
Bhowmick, Amiya Ranjan, et al.. (2015). A simple approximation of moments of the quasi-equilibrium distribution of an extended stochastic theta-logistic model with non-integer powers. Mathematical Biosciences. 271. 96–112. 8 indexed citations
18.
Tiwari, Pankaj Kumar, Sourav Rana, A. K. Misra, & Joydev Chattopadhyay. (2014). Effect of cross--diffusion on the patterns of algal bloom in a lake: A nonlinear analysis. Nonlinear studies. 21(3). 443–462. 2 indexed citations
19.
Rana, Sourav, Sudip Samanta, Sabyasachi Bhattacharya, et al.. (2014). The effect of nanoparticles on plankton dynamics: A mathematical model. Biosystems. 127. 28–41. 20 indexed citations
20.
Rana, Sourav, Sabyasachi Bhattacharya, Joydeep Pal, Gaston M. N’Guérékata, & Joydev Chattopadhyay. (2013). Paradox of enrichment: A fractional differential approach with memory. Physica A Statistical Mechanics and its Applications. 392(17). 3610–3621. 30 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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