Mini Ghosh

1.6k total citations
77 papers, 1.2k citations indexed

About

Mini Ghosh is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Mini Ghosh has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Public Health, Environmental and Occupational Health, 46 papers in Modeling and Simulation and 27 papers in Genetics. Recurrent topics in Mini Ghosh's work include Mathematical and Theoretical Epidemiology and Ecology Models (54 papers), COVID-19 epidemiological studies (40 papers) and Evolution and Genetic Dynamics (27 papers). Mini Ghosh is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (54 papers), COVID-19 epidemiological studies (40 papers) and Evolution and Genetic Dynamics (27 papers). Mini Ghosh collaborates with scholars based in India, China and United States. Mini Ghosh's co-authors include Xuezhi Li, Liming Cai, Akhil Kumar Srivastav, Bao‐Zhu Guo, Peeyush Chandra, Xue-Zhi Li, Andrea Pugliese, Prawal Sinha, Jing Wang and J.B. Shukla and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mini Ghosh

72 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mini Ghosh India 19 930 788 402 252 93 77 1.2k
Calistus N. Ngonghala United States 22 808 0.9× 717 0.9× 214 0.5× 539 2.1× 79 0.8× 50 1.6k
Christinah Chiyaka Zimbabwe 17 743 0.8× 370 0.5× 280 0.7× 119 0.5× 57 0.6× 36 969
Winston Garira Zimbabwe 23 994 1.1× 662 0.8× 497 1.2× 348 1.4× 77 0.8× 55 1.5k
Nicolas Bacaër France 20 1.1k 1.2× 745 0.9× 625 1.6× 367 1.5× 158 1.7× 37 1.6k
Baojun Song United States 12 1.7k 1.8× 1.2k 1.6× 897 2.2× 396 1.6× 138 1.5× 27 2.1k
Christopher M. Kribs-Zaleta United States 17 777 0.8× 598 0.8× 406 1.0× 156 0.6× 85 0.9× 38 1.1k
Luis Fernández López Brazil 22 975 1.0× 493 0.6× 144 0.4× 513 2.0× 77 0.8× 69 1.4k
C. P. Bhunu Zimbabwe 19 758 0.8× 541 0.7× 300 0.7× 254 1.0× 88 0.9× 61 1.2k
Steady Mushayabasa Zimbabwe 20 594 0.6× 363 0.5× 203 0.5× 263 1.0× 59 0.6× 92 999
Dipo Aldila Indonesia 18 813 0.9× 747 0.9× 263 0.7× 275 1.1× 57 0.6× 122 1.1k

Countries citing papers authored by Mini Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Mini Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mini Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Mini Ghosh. A scholar is included among the top collaborators of Mini Ghosh 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 Mini Ghosh. Mini Ghosh 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.
2.
Ghosh, Mini, et al.. (2025). Gene expression and agent-based modeling improve precision prognosis in breast cancer. Scientific Reports. 15(1). 17059–17059. 1 indexed citations
3.
Tandon, Abhinav, et al.. (2025). Mathematical modeling and optimal control of depression dynamics influenced by saboteurs. Scientific Reports. 15(1). 6773–6773.
4.
Ghosh, Mini, et al.. (2024). Modelling the prevalence of prostitution under the influence of poverty: A deterministic vs. stochastic approach. Applied Mathematics and Computation. 485. 129030–129030.
5.
Ghosh, Mini, et al.. (2024). The role of zooplankton in the growth of algal bloom: a mathematical study. Stochastic Analysis and Applications. 42(3). 591–621. 2 indexed citations
6.
Ghosh, Mini, et al.. (2023). Mathematical modeling of smoking dynamics in society with impact of media information and awareness. Results in Control and Optimization. 11. 100233–100233. 7 indexed citations
7.
Ghosh, Mini, et al.. (2023). Impact of high-risk and low-risk population on COVID-19 dynamics considering antimicrobial resistance and control strategies. The European Physical Journal Plus. 138(8). 1 indexed citations
8.
Ghosh, Mini, et al.. (2022). A co-infection model on TB - COVID-19 with optimal control and sensitivity analysis. Mathematics and Computers in Simulation. 200. 1–31. 29 indexed citations
9.
Srivastav, Akhil Kumar & Mini Ghosh. (2021). Modeling the Impact of case detection on the transmission dynamics of tuberculosis. Nonlinear studies. 28(1). 77–100. 1 indexed citations
10.
Srivastav, Akhil Kumar, et al.. (2021). Modeling of COVID-19 with limited public health resources: a comparative study of three most affected countries. The European Physical Journal Plus. 136(4). 359–359. 14 indexed citations
11.
Srivastav, Akhil Kumar, et al.. (2021). Modeling and optimal control analysis of COVID‐19: Case studies from Italy and Spain. Mathematical Methods in the Applied Sciences. 44(11). 9210–9223. 14 indexed citations
12.
Srivastav, Akhil Kumar, Pankaj Kumar Tiwari, Prashant K. Srivastava, Mini Ghosh, & Yun Kang. (2020). A mathematical model for the impacts of face mask, hospitalization and quarantine on the dynamics of COVID-19 in India: deterministic vs. stochastic. Mathematical Biosciences & Engineering. 18(1). 182–213. 50 indexed citations
13.
Ghosh, Mini, et al.. (2017). Mathematical modeling and optimal control of corruption dynamics. Asian-European Journal of Mathematics. 11(6). 1850090–1850090. 37 indexed citations
14.
Ghosh, Mini, et al.. (2014). The role of screening and treatment in the transmission dynamics of HIV/AIDS and tuberculosis co-infection: a mathematical study. Journal of Biological Physics. 40(2). 139–166. 12 indexed citations
15.
Ghosh, Mini. (2013). Mathematical Modelling of Malaria with Treatment. Advances in Applied Mathematics and Mechanics. 5(6). 857–871. 2 indexed citations
16.
Li, Xuezhi, Jing Wang, & Mini Ghosh. (2009). Stability and bifurcation of an SIVS epidemic model with treatment and age of vaccination. Applied Mathematical Modelling. 34(2). 437–450. 67 indexed citations
17.
Cai, Liming, Xuezhi Li, Mini Ghosh, & Bao‐Zhu Guo. (2008). Stability analysis of an HIV/AIDS epidemic model with treatment. Journal of Computational and Applied Mathematics. 229(1). 313–323. 138 indexed citations
18.
Rosà, Roberto, Andrea Pugliese, Mini Ghosh, Sarah E. Perkins, & Annapaola Rizzoli. (2007). Temporal Variation of Ixodes ricinus Intensity on the Rodent Host Apodemus flavicollis in Relation to Local Climate and Host Dynamics. Vector-Borne and Zoonotic Diseases. 7(3). 285–295. 42 indexed citations
19.
Ghosh, Mini & Andrea Pugliese. (2004). Seasonal population dynamics of ticks, and its influence on infection transmission: a semi-discrete approach. Bulletin of Mathematical Biology. 66(6). 1659–1684. 34 indexed citations
20.
Ray, Shatrupa, Mini Ghosh, & N. Mukherjee. (1990). Fluorescent pseudomonads for plant disease control.. Journal of Mycopathological research. 28(2). 135–140. 3 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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