Kankan Sarkar

21 total papers · 1.3k total citations
13 papers, 737 citations indexed

About

Kankan Sarkar is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Kankan Sarkar has authored 13 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 6 papers in Modeling and Simulation and 5 papers in Infectious Diseases. Recurrent topics in Kankan Sarkar's work include Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Evolution and Genetic Dynamics (5 papers) and COVID-19 epidemiological studies (5 papers). Kankan Sarkar is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Evolution and Genetic Dynamics (5 papers) and COVID-19 epidemiological studies (5 papers). Kankan Sarkar collaborates with scholars based in India, Spain and Saudi Arabia. Kankan Sarkar's co-authors include Subhas Khajanchi, Juan J. Nieto, Jayanta Mondal, Sayed F. Abdelwahab, Kottakkaran Sooppy Nisar, D. Shankar, S G Aparna, V. V. S. S. Sarma, M. S. Krishna and E. Pattabhi Rama Rao and has published in prestigious journals such as Journal of the Franklin Institute, Chaos Solitons & Fractals and Journal of Marine Systems.

In The Last Decade

Kankan Sarkar

13 papers receiving 717 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kankan Sarkar	446	424	207	182	101	13	737
Sourav Rana	498 1.1×	527 1.2×	215 1.0×	117 0.6×	65 0.6×	29	775
Teresa K. Yamana	399 0.9×	267 0.6×	23 0.1×	207 1.1×	53 0.5×	24	851
Sze-Bi Hsu	325 0.7×	700 1.7×	478 2.3×	48 0.3×	24 0.2×	15	855
Juhua Liang	237 0.5×	394 0.9×	191 0.9×	95 0.5×	59 0.6×	25	780
Damián Knopoff	386 0.9×	223 0.5×	90 0.4×	95 0.5×	122 1.2×	42	891
W. O. Kermack	294 0.7×	257 0.6×	103 0.5×	69 0.4×	62 0.6×	19	891
Kyle S. Hickmann	311 0.7×	187 0.4×	36 0.2×	132 0.7×	29 0.3×	18	702
Soufiane Bentout	548 1.2×	598 1.4×	287 1.4×	58 0.3×	39 0.4×	34	803
Sean L. Wu	205 0.5×	162 0.4×	53 0.3×	195 1.1×	46 0.5×	24	660
Max S. Y. Lau	413 0.9×	101 0.2×	49 0.2×	251 1.4×	63 0.6×	23	626

Countries citing papers authored by Kankan Sarkar

Since Specialization

Citations

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

Fields of papers citing papers by Kankan Sarkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kankan Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Kankan Sarkar. A scholar is included among the top collaborators of Kankan Sarkar 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 Kankan Sarkar. Kankan Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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