L. Shangerganesh

70 total papers · 498 total citations
51 papers, 368 citations indexed

About

L. Shangerganesh is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics. According to data from OpenAlex, L. Shangerganesh has authored 51 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Modeling and Simulation, 23 papers in Public Health, Environmental and Occupational Health and 12 papers in Computational Theory and Mathematics. Recurrent topics in L. Shangerganesh's work include Mathematical Biology Tumor Growth (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (23 papers) and Fractional Differential Equations Solutions (15 papers). L. Shangerganesh is often cited by papers focused on Mathematical Biology Tumor Growth (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (23 papers) and Fractional Differential Equations Solutions (15 papers). L. Shangerganesh collaborates with scholars based in India, Algeria and Russia. L. Shangerganesh's co-authors include Amar Debbouche, K. Balachandran, Sashikumaar Ganesan, Yong Zhou, Valery Antonov, J.‐C. Cortés, Sunil Kumar, Juan J. Nieto, Ahmed S. Hendy and Delfim F. M. Torres and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chaos Solitons & Fractals.

In The Last Decade

L. Shangerganesh

42 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
L. Shangerganesh	292	109	96	87	85	51	368
B. Zubik–Kowal	238 0.8×	57 0.5×	82 0.9×	43 0.5×	262 3.1×	36	438
A.M. Vargas	195 0.7×	25 0.2×	70 0.7×	22 0.3×	109 1.3×	40	375
Gabriela Marinoschi	82 0.3×	73 0.7×	118 1.2×	43 0.5×	38 0.4×	59	410
Zhengce Zhang	128 0.4×	254 2.3×	251 2.6×	78 0.9×	32 0.4×	73	443
Norikazu Saito	143 0.5×	46 0.4×	236 2.5×	8 0.1×	55 0.6×	38	391
Nikos I. Kavallaris	77 0.3×	113 1.0×	150 1.6×	30 0.3×	36 0.4×	45	372
Marianito R. Rodrigo	104 0.4×	31 0.3×	36 0.4×	67 0.8×	74 0.9×	46	408
Wei Wang	288 1.0×	87 0.8×	68 0.7×	37 0.4×	18 0.2×	45	407
Ritu Agarwal	185 0.6×	154 1.4×	11 0.1×	25 0.3×	83 1.0×	44	446
Kaushik Dehingia	259 0.9×	20 0.2×	20 0.2×	103 1.2×	27 0.3×	45	423

Countries citing papers authored by L. Shangerganesh

Since Specialization

Citations

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

Fields of papers citing papers by L. Shangerganesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Shangerganesh

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