G. P. Samanta

4.9k total citations
233 papers, 3.9k citations indexed

About

G. P. Samanta is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, G. P. Samanta has authored 233 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 186 papers in Public Health, Environmental and Occupational Health, 126 papers in Genetics and 88 papers in Modeling and Simulation. Recurrent topics in G. P. Samanta's work include Mathematical and Theoretical Epidemiology and Ecology Models (186 papers), Evolution and Genetic Dynamics (126 papers) and COVID-19 epidemiological studies (44 papers). G. P. Samanta is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (186 papers), Evolution and Genetic Dynamics (126 papers) and COVID-19 epidemiological studies (44 papers). G. P. Samanta collaborates with scholars based in India, Spain and Slovakia. G. P. Samanta's co-authors include Swarnali Sharma, Sangeeta Saha, Alakes Maiti, Sudeshna Mondal, G. S. Mahapatra, D. Pal, A. K. Pal, Atasi Patra Maiti, Juan J. Nieto and Ashok Mondal and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Economics and Ecological Modelling.

In The Last Decade

G. P. Samanta

222 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. P. Samanta India 33 3.1k 1.9k 1.6k 619 403 233 3.9k
Yun Kang United States 27 1.6k 0.5× 1.4k 0.7× 870 0.5× 408 0.7× 165 0.4× 121 2.3k
Eric Renshaw United Kingdom 27 1.3k 0.4× 894 0.5× 740 0.5× 255 0.4× 402 1.0× 111 4.2k
Linda J. S. Allen United States 37 3.1k 1.0× 1.9k 1.0× 2.3k 1.5× 444 0.7× 269 0.7× 128 5.2k
Gui‐Quan Sun China 48 3.5k 1.1× 1.9k 1.0× 2.2k 1.4× 541 0.9× 335 0.8× 214 6.3k
Edoardo Beretta Italy 26 3.0k 1.0× 2.1k 1.1× 1.7k 1.0× 364 0.6× 244 0.6× 108 4.1k
A. A. Elsadany Egypt 29 1.2k 0.4× 344 0.2× 656 0.4× 161 0.3× 52 0.1× 105 2.9k
Wendi Wang China 41 5.5k 1.8× 3.6k 1.9× 3.8k 2.4× 649 1.0× 184 0.5× 170 7.1k
Xinzhu Meng China 39 3.1k 1.0× 1.9k 1.0× 1.9k 1.2× 394 0.6× 100 0.2× 152 4.3k
Frank Ball United Kingdom 33 1.3k 0.4× 512 0.3× 2.0k 1.2× 153 0.2× 80 0.2× 170 4.1k
Sanyi Tang China 44 4.1k 1.3× 1.8k 1.0× 3.4k 2.1× 613 1.0× 255 0.6× 240 7.4k

Countries citing papers authored by G. P. Samanta

Since Specialization
Citations

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

Fields of papers citing papers by G. P. Samanta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. P. Samanta. 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 G. P. Samanta. The network helps show where G. P. Samanta may publish in the future.

Co-authorship network of co-authors of G. P. Samanta

This figure shows the co-authorship network connecting the top 25 collaborators of G. P. Samanta. A scholar is included among the top collaborators of G. P. Samanta 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 G. P. Samanta. G. P. Samanta 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.
Mondal, N. K., et al.. (2025). Prey-predator dynamics with adaptive hawk-dove strategies. Chaos Solitons & Fractals. 200. 116934–116934.
2.
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
3.
Maiti, Manas Kumar, et al.. (2024). An Inventory Model of a Decaying Item with Fuzzy Lifetime and Decay Rate under Dynamic Trade Credit and Variable Demand. New Mathematics and Natural Computation. 22(2). 713–749.
4.
5.
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.
Mondal, Sudeshna, et al.. (2023). An epidemiological multi-delay model on Cassava Mosaic disease with delay-dependent parameters. Filomat. 37(9). 2887–2921. 6 indexed citations
8.
Mondal, Sudeshna, G. P. Samanta, & Manuel De la Sen. (2022). A Comparison Study of Predator–Prey Model in Deterministic and Stochastic Environments with the Impacts of Fear and Habitat Complexity. Bulletin of Mathematical Biology. 84(10). 115–115. 7 indexed citations
9.
Samanta, G. P., et al.. (2021). A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination. Mathematics. 9(21). 2806–2806. 9 indexed citations
10.
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
11.
Mondal, Sudeshna, Alakes Maiti, & G. P. Samanta. (2019). A predator-prey model with strong Allee effect and disease in prey population. International journal of ecological economics and statistics. 40(2). 92–112. 4 indexed citations
12.
Samanta, G. P., et al.. (2019). Fitting Cumulative Logit Models for Ordinal Response Variables in Retail Trends and Predictions. 20(1). 32–49. 2 indexed citations
13.
Jana, Debaldev, Sachinandan Dutta, & G. P. Samanta. (2019). Interplay between reproduction and age selective harvesting: A case study of Hilsa (Tenualosa ilisha) fish at Sundarban estuary of northern Bay of Bengal, India. International Journal of Biomathematics. 12(2). 1950023–1950023. 4 indexed citations
14.
Jana, Debaldev & G. P. Samanta. (2018). Significance of prey harvesting in prey-predator system in discrete time scale using interval parameters. International journal of ecological economics and statistics. 39(2). 46–60. 3 indexed citations
15.
Sharma, Swarnali & G. P. Samanta. (2015). Analysis of A Predator-Prey Population Model. International journal of ecological economics and statistics. 36(4). 18–44. 1 indexed citations
16.
Sharma, Swarnali & G. P. Samanta. (2013). Analysis of An Epidemic Model with Non-Linear Incidence and Vaccination. International journal of ecological economics and statistics. 28(1). 104–129. 1 indexed citations
17.
Samanta, G. P., et al.. (2011). ANALYSIS OF A NONAUTONOMOUS PREDATOR-PREY MODEL INCORPORATING A PREY REFUGE AND TIME DELAY. Journal of applied mathematics & informatics. 29. 955–967. 2 indexed citations
18.
Samanta, G. P.. (2011). DYNAMIC BEHAVIOUR FOR A NONAUTONOMOUS SMOKING DYNAMICAL MODEL WITH DISTRIBUTED TIME DELAY. Journal of applied mathematics & informatics. 29. 721–741. 2 indexed citations
19.
Samanta, G. P., et al.. (2010). Inventory model with two rates of production for deteriorating items with permissible delay in payments. International Journal of Systems Science. 42(8). 1375–1386. 22 indexed citations
20.
Maiti, Alakes, et al.. (2010). A Nonlinear Predator-Prey System in Deterministic and Stochastic Environment. International journal of ecological economics and statistics. 16. 14–25. 1 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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