Nitin Sharma

28 total papers · 476 total citations
19 papers, 367 citations indexed

About

Nitin Sharma is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Nitin Sharma has authored 19 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 8 papers in Modeling and Simulation and 6 papers in Infectious Diseases. Recurrent topics in Nitin Sharma's work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), COVID-19 epidemiological studies (8 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Nitin Sharma is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), COVID-19 epidemiological studies (8 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Nitin Sharma collaborates with scholars based in India, United States and Türkiye. Nitin Sharma's co-authors include Neelesh A. Patankar, Vijay Gupta, Yong Chen, Hacı Mehmet Başkonuş, Hua–Yi Hsu, Parvaiz Ahmad Naik, Pallavi Chauhan and Sania Qureshi and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Gene.

In The Last Decade

Nitin Sharma

16 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Nitin Sharma 227 78 59 40 35 19 367
Lennon Ó Náraigh 198 0.9× 21 0.3× 57 1.0× 31 0.8× 9 0.3× 32 393
Prasenjit Kabi 80 0.4× 69 0.9× 79 1.3× 41 1.0× 16 0.5× 25 407
M. A. Aguirre 280 1.2× 79 1.0× 47 0.8× 7 0.2× 22 0.6× 28 354
Sudarshan Tiwari 276 1.2× 78 1.0× 30 0.5× 17 0.4× 11 0.3× 27 431
Zhiqiang Dong 229 1.0× 14 0.2× 100 1.7× 33 0.8× 2 0.1× 24 398
Michael R. Booty 218 1.0× 12 0.2× 117 2.0× 7 0.2× 21 0.6× 31 411
Leonardo Gordillo 224 1.0× 32 0.4× 30 0.5× 6 0.1× 3 0.1× 21 363
P. Mishra 73 0.3× 21 0.3× 50 0.8× 87 2.2× 209 6.0× 31 372
Artem Levandovsky 114 0.5× 17 0.2× 45 0.8× 2 0.1× 5 0.1× 11 429
Nathaniel S. Barlow 92 0.4× 3 0.0× 84 1.4× 131 3.3× 65 1.9× 30 347

Countries citing papers authored by Nitin Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Sharma

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