Parthasakha Das

35 total papers · 606 total citations
28 papers, 471 citations indexed

About

Parthasakha Das is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Parthasakha Das has authored 28 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 15 papers in Public Health, Environmental and Occupational Health and 8 papers in Molecular Biology. Recurrent topics in Parthasakha Das's work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (11 papers) and Evolution and Genetic Dynamics (8 papers). Parthasakha Das is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (11 papers) and Evolution and Genetic Dynamics (8 papers). Parthasakha Das collaborates with scholars based in India, United Arab Emirates and United States. Parthasakha Das's co-authors include Pritha Das, Ranjit Kumar Upadhyay, Sayan Mukherjee, Dibakar Ghosh, Fathalla A. Rihan, A. K. Misra, Santo Banerjee, Sk Shahid Nadim, Amitava Kundu and Muhammet Uzuntarla and has published in prestigious journals such as Journal of Theoretical Biology, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.

In The Last Decade

Parthasakha Das

27 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Parthasakha Das	306	217	103	91	64	28	471
Aili Wang	227 0.7×	249 1.1×	31 0.3×	118 1.3×	35 0.5×	34	514
Ángel Pérez	154 0.5×	173 0.8×	158 1.5×	172 1.9×	21 0.3×	37	483
Martín López‐García	162 0.5×	98 0.5×	64 0.6×	51 0.6×	39 0.6×	52	502
Peng Wu	190 0.6×	228 1.1×	32 0.3×	109 1.2×	57 0.9×	68	429
Nisrine Outada	227 0.7×	111 0.5×	69 0.7×	34 0.4×	117 1.8×	14	409
Amar Nath Chatterjee	265 0.9×	256 1.2×	25 0.2×	67 0.7×	27 0.4×	39	421
Johannes Müller	142 0.5×	100 0.5×	147 1.4×	141 1.5×	43 0.7×	66	540
Sanhong Liu	278 0.9×	313 1.4×	13 0.1×	142 1.6×	27 0.4×	19	457
Marcelo Lobosco	151 0.5×	81 0.4×	69 0.7×	19 0.2×	18 0.3×	55	442
Nikolai Bessonov	153 0.5×	155 0.7×	95 0.9×	113 1.2×	6 0.1×	36	496

Countries citing papers authored by Parthasakha Das

Since Specialization

Citations

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

Fields of papers citing papers by Parthasakha Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parthasakha Das

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