Parthasakha Das

705 total citations
28 papers, 477 citations indexed

About

Parthasakha Das is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Parthasakha Das has authored 28 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 15 papers in Public Health, Environmental and Occupational Health and 8 papers in Molecular Biology. Recurrent topics in Parthasakha Das's work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (11 papers) and Evolution and Genetic Dynamics (8 papers). Parthasakha Das is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (11 papers) and Evolution and Genetic Dynamics (8 papers). Parthasakha Das collaborates with scholars based in India, United Arab Emirates and United States. Parthasakha Das's co-authors include Pritha Das, Ranjit Kumar Upadhyay, Sayan Mukherjee, Dibakar Ghosh, Fathalla A. Rihan, A. K. Misra, Santo Banerjee, Sk Shahid Nadim, Muhammet Uzuntarla and Amitava Kundu and has published in prestigious journals such as Journal of Theoretical Biology, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.

In The Last Decade

Parthasakha Das

27 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parthasakha Das India 13 310 217 104 91 65 28 477
Yueping Dong China 10 244 0.8× 216 1.0× 91 0.9× 83 0.9× 15 0.2× 34 388
Peng Wu China 12 195 0.6× 236 1.1× 33 0.3× 113 1.2× 57 0.9× 70 440
Ángel Pérez Mexico 14 156 0.5× 174 0.8× 158 1.5× 173 1.9× 21 0.3× 37 485
Nisrine Outada France 8 229 0.7× 112 0.5× 70 0.7× 34 0.4× 117 1.8× 14 413
Maria Vittoria Barbarossa Germany 9 160 0.5× 104 0.5× 42 0.4× 53 0.6× 17 0.3× 21 305
Qi An China 13 93 0.3× 223 1.0× 58 0.6× 149 1.6× 36 0.6× 39 614
Swarnali Sharma India 16 284 0.9× 432 2.0× 37 0.4× 232 2.5× 23 0.4× 35 622
Liuyong Pang China 11 262 0.8× 217 1.0× 40 0.4× 64 0.7× 12 0.2× 28 385
Amar Nath Chatterjee India 12 265 0.9× 259 1.2× 26 0.3× 67 0.7× 28 0.4× 40 426
Juan Liu China 14 75 0.2× 289 1.3× 84 0.8× 79 0.9× 50 0.8× 66 562

Countries citing papers authored by Parthasakha Das

Since Specialization
Citations

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

Fields of papers citing papers by Parthasakha Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parthasakha Das

This figure shows the co-authorship network connecting the top 25 collaborators of Parthasakha Das. A scholar is included among the top collaborators of Parthasakha Das 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 Parthasakha Das. Parthasakha Das 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.
Das, Parthasakha, et al.. (2025). Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study. Journal of Theoretical Biology. 605. 112097–112097. 6 indexed citations
2.
Das, Parthasakha, et al.. (2025). Forecasting tuberculosis through mechanistic learning of transmission dynamics: Insights from a case study in India. Computers in Biology and Medicine. 198(Pt B). 111225–111225.
3.
Das, Parthasakha, et al.. (2025). Vaccination dilemmas in mitigating monkeypox outbreaks: An imitation dynamics game model approach. Applied Mathematics and Computation. 509. 129641–129641. 1 indexed citations
4.
Das, Parthasakha, et al.. (2024). Transmission dynamics and optimal control strategies in a multi-pathways delayed HIV infection model with multi-drug therapy. The European Physical Journal Plus. 139(2). 6 indexed citations
5.
6.
Mondal, Bapin, et al.. (2024). Exploring noise-induced dynamics and optimal control strategy of iSIR cholera transmission model. Nonlinear Dynamics. 112(5). 3951–3975. 7 indexed citations
7.
Das, Pritha, et al.. (2023). A comparative study of deterministic and stochastic dynamics of rumor propagation model with counter-rumor spreader. Nonlinear Dynamics. 111(18). 16875–16894. 29 indexed citations
8.
Dehingia, Kaushik, Parthasakha Das, Ranjit Kumar Upadhyay, et al.. (2022). Modelling and analysis of delayed tumour–immune system with hunting T-cells. Mathematics and Computers in Simulation. 203. 669–684. 24 indexed citations
9.
Das, Parthasakha, et al.. (2021). Autonomic nervous system involvement in COVID 19 and risk of sudden cardiac death. Journal of Cardiovascular Disease Research. 12(3). 548–553. 1 indexed citations
10.
Das, Parthasakha, Parthasakha Das, Pritha Das, et al.. (2021). Optimal control strategy for cancer remission using combinatorial therapy: A mathematical model-based approach. Chaos Solitons & Fractals. 145. 110789–110789. 38 indexed citations
11.
Das, Parthasakha, Ranjit Kumar Upadhyay, A. K. Misra, et al.. (2021). Mathematical model of COVID-19 with comorbidity and controlling using non-pharmaceutical interventions and vaccination. Nonlinear Dynamics. 106(2). 1213–1227. 62 indexed citations
12.
Das, Parthasakha, et al.. (2021). Stochastic persistence and extinction in tumor-immune system perturbed by white noise. International Journal of Dynamics and Control. 10(2). 620–629. 8 indexed citations
13.
Das, Pritha, et al.. (2021). Chemical and biological control of parasite-borne disease Schistosomiasis: An impulsive optimal control approach. Nonlinear Dynamics. 104(1). 603–628. 12 indexed citations
14.
Das, Parthasakha, et al.. (2021). Dynamics of COVID-19 transmission with comorbidity: a data driven modelling based approach. Nonlinear Dynamics. 106(2). 1197–1211. 30 indexed citations
15.
Das, Parthasakha, et al.. (2020). Optimal treatment strategies for delayed cancer-immune system with multiple therapeutic approach. Chaos Solitons & Fractals. 136. 109806–109806. 38 indexed citations
16.
Das, Parthasakha, et al.. (2020). Exploring dynamical complexity in a time-delayed tumor-immune model. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(12). 123118–123118. 37 indexed citations
17.
Das, Pritha, et al.. (2020). Dynamics and control of multidrug-resistant bacterial infection in hospital with multiple delays. Communications in Nonlinear Science and Numerical Simulation. 89. 105279–105279. 21 indexed citations
18.
Das, Parthasakha, Sayan Mukherjee, Pritha Das, & Santo Banerjee. (2020). Characterizing chaos and multifractality in noise-assisted tumor-immune interplay. Nonlinear Dynamics. 101(1). 675–685. 34 indexed citations
19.
Das, Parthasakha, et al.. (2019). Stochastic dynamics of Michaelis–Menten kinetics based tumor-immune interactions. Physica A Statistical Mechanics and its Applications. 541. 123603–123603. 27 indexed citations
20.
Das, Parthasakha, Sayan Mukherjee, & Pritha Das. (2019). An investigation on Michaelis - Menten kinetics based complex dynamics of tumor - immune interaction. Chaos Solitons & Fractals. 128. 297–305. 29 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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