Sangeeta Saha

674 total citations
33 papers, 516 citations indexed

About

Sangeeta Saha is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Sangeeta Saha has authored 33 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 21 papers in Genetics and 12 papers in Modeling and Simulation. Recurrent topics in Sangeeta Saha's work include Mathematical and Theoretical Epidemiology and Ecology Models (28 papers), Evolution and Genetic Dynamics (21 papers) and COVID-19 epidemiological studies (11 papers). Sangeeta Saha is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (28 papers), Evolution and Genetic Dynamics (21 papers) and COVID-19 epidemiological studies (11 papers). Sangeeta Saha collaborates with scholars based in India, Canada and Spain. Sangeeta Saha's co-authors include G. P. Samanta, Juan J. Nieto, Alakes Maiti, Pradip Debnath and Roderick Melnik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Modelling and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Sangeeta Saha

29 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangeeta Saha India 13 405 285 241 76 60 33 516
Mohd Hafiz Mohd Malaysia 16 385 1.0× 348 1.2× 200 0.8× 55 0.7× 70 1.2× 49 601
Juhua Liang China 14 399 1.0× 238 0.8× 193 0.8× 70 0.9× 95 1.6× 25 792
Sunita Gakkhar India 15 343 0.8× 172 0.6× 137 0.6× 38 0.5× 92 1.5× 37 502
Chunhua Shan China 10 396 1.0× 251 0.9× 203 0.8× 35 0.5× 51 0.8× 20 473
Yixiang Wu United States 14 711 1.8× 592 2.1× 548 2.3× 60 0.8× 42 0.7× 38 813
Suzanne M. O’Regan United States 12 183 0.5× 198 0.7× 108 0.4× 31 0.4× 109 1.8× 20 412
Prabir Panja India 16 555 1.4× 241 0.8× 352 1.5× 131 1.7× 22 0.4× 50 726
Parimita Roy India 10 196 0.5× 128 0.4× 126 0.5× 30 0.4× 33 0.6× 25 309
Sudeshna Mondal India 14 394 1.0× 102 0.4× 315 1.3× 119 1.6× 49 0.8× 39 597
Ibrahim M. Elmojtaba Oman 11 280 0.7× 130 0.5× 114 0.5× 33 0.4× 56 0.9× 25 333

Countries citing papers authored by Sangeeta Saha

Since Specialization
Citations

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

Fields of papers citing papers by Sangeeta Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangeeta Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Sangeeta Saha. A scholar is included among the top collaborators of Sangeeta Saha 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 Sangeeta Saha. Sangeeta Saha 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.
Saha, Sangeeta, et al.. (2025). Nonlocal Cooperative Behavior, Psychological Effects, and Collective Decision‐Making: An Exemplification With Predator–Prey Models. Mathematical Methods in the Applied Sciences. 48(12). 12011–12037.
3.
Saha, Sangeeta, et al.. (2024). Analysis of an SIRS Model in Two-Patch Environment in Presence of Optimal Dispersal Strategy. Axioms. 13(2). 94–94. 5 indexed citations
4.
Saha, Sangeeta, et al.. (2024). Assessing the influence of public behavior and governmental action on disease dynamics: a PRCC analysis and optimal control approach. The European Physical Journal Plus. 139(6). 8 indexed citations
5.
Saha, Sangeeta, et al.. (2024). Exploring cooperative hunting dynamics and PRCC analysis: insights from a spatio-temporal mathematical model. Journal of Physics A Mathematical and Theoretical. 57(30). 305601–305601. 3 indexed citations
6.
Saha, Sangeeta, et al.. (2023). Role of predation efficiency in prey–predator dynamics incorporating switching effect. Mathematics and Computers in Simulation. 209. 299–323.
7.
Saha, Sangeeta, et al.. (2023). Role of multiple time delays on a stage-structured harvested predator–prey system with anti-predator behavior. International Journal of Dynamics and Control. 12(3). 696–724. 2 indexed citations
8.
Saha, Sangeeta, G. P. Samanta, & Juan J. Nieto. (2022). Impact of optimal vaccination and social distancing on COVID-19 pandemic. Mathematics and Computers in Simulation. 200. 285–314. 38 indexed citations
9.
Saha, Sangeeta & G. P. Samanta. (2021). Impact of fear in a prey-predator system with herd behaviour. SHILAP Revista de lepidopterología. 9(1). 175–197. 5 indexed citations
10.
Saha, Sangeeta & G. P. Samanta. (2021). Dynamics of an Epidemic Model under the Influence of Environmental Stress. Mathematical Biology and Bioinformatics. 16(2). 201–243. 3 indexed citations
11.
Saha, Sangeeta & G. P. Samanta. (2021). Effect of anti-predator behaviour in a prey-predator system with strong Allee effect in prey population. Filomat. 35(14). 4837–4870. 5 indexed citations
12.
Saha, Sangeeta & G. P. Samanta. (2021). Modelling of a two prey and one predator system with switching effect. SHILAP Revista de lepidopterología. 9(1). 90–113. 14 indexed citations
13.
Saha, Sangeeta & G. P. Samanta. (2020). A prey–predator system with disease in prey and cooperative hunting strategy in predator. Journal of Physics A Mathematical and Theoretical. 53(48). 485601–485601. 32 indexed citations
14.
Saha, Sangeeta & G. P. Samanta. (2020). Modeling of Insect-Pathogen Dynamics with Biological Control. Mathematical Biology and Bioinformatics. 15(2). 268–294. 14 indexed citations
15.
Saha, Sangeeta, G. P. Samanta, & Juan J. Nieto. (2020). Epidemic model of COVID-19 outbreak by inducing behavioural response in population. Nonlinear Dynamics. 102(1). 455–487. 56 indexed citations
16.
Saha, Sangeeta & G. P. Samanta. (2020). Modelling the role of optimal social distancing on disease prevalence of COVID-19 epidemic. International Journal of Dynamics and Control. 9(3). 1053–1077. 35 indexed citations
17.
Saha, Sangeeta & G. P. Samanta. (2018). Influence of dispersal and strong Allee effect on a two-patch predator–prey model. International Journal of Dynamics and Control. 7(4). 1321–1349. 25 indexed citations
18.
Saha, Sangeeta & G. P. Samanta. (2018). Modelling and optimal control of HIV/AIDS prevention through PrEP and limited treatment. Physica A Statistical Mechanics and its Applications. 516. 280–307. 33 indexed citations
19.
Saha, Sangeeta & Pradip Debnath. (2018). INTUITIONISTIC FUZZY f-CONVEXITY AND INTUITIONISTIC FUZZY DECISION MAKING. 8(2S). 173–179.
20.
Saha, Sangeeta, et al.. (2014). Effect of storage and Preservatives on Antioxidant Status of some Refrigerated Fruit Juices. 7 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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