Manotosh Mandal

19 total papers · 649 total citations
14 papers, 475 citations indexed

About

Manotosh Mandal is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Manotosh Mandal has authored 14 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 12 papers in Modeling and Simulation and 8 papers in Genetics. Recurrent topics in Manotosh Mandal's work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (9 papers) and Evolution and Genetic Dynamics (8 papers). Manotosh Mandal is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (9 papers) and Evolution and Genetic Dynamics (8 papers). Manotosh Mandal collaborates with scholars based in India. Manotosh Mandal's co-authors include Soovoojeet Jana, T. K. Kar, Swapan Kumar Nandi, Sayani Adak and Anupam Khatua and has published in prestigious journals such as Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science and Modeling Earth Systems and Environment.

In The Last Decade

Manotosh Mandal

14 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Manotosh Mandal 392 274 107 79 79 14 475
Anupam Khatua 364 0.9× 230 0.8× 112 1.0× 66 0.8× 83 1.1× 17 450
Swapan Kumar Nandi 424 1.1× 324 1.2× 111 1.0× 121 1.5× 78 1.0× 16 528
Jayanta Mondal 429 1.1× 293 1.1× 207 1.9× 56 0.7× 56 0.7× 20 525
Miriam R. Ferrández 420 1.1× 181 0.7× 182 1.7× 27 0.3× 132 1.7× 14 507
Sarbaz H. A. Khoshnaw 311 0.8× 205 0.7× 86 0.8× 30 0.4× 57 0.7× 31 424
Chayu Yang 425 1.1× 321 1.2× 159 1.5× 72 0.9× 61 0.8× 21 528
Attila Dénes 358 0.9× 175 0.6× 241 2.3× 59 0.7× 96 1.2× 32 547
Enahoro Iboi 393 1.0× 217 0.8× 243 2.3× 38 0.5× 92 1.2× 15 529
Rachel Waema Mbogo 284 0.7× 230 0.8× 106 1.0× 52 0.7× 43 0.5× 31 416
Rajanish Kumar 346 0.9× 314 1.1× 116 1.1× 158 2.0× 41 0.5× 20 465

Countries citing papers authored by Manotosh Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Manotosh Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manotosh Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Manotosh Mandal. A scholar is included among the top collaborators of Manotosh Mandal 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 Manotosh Mandal. Manotosh Mandal 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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