Parasuraman Ganeshkumar

84 total papers · 2.0k total citations
41 papers, 1.0k citations indexed

About

Parasuraman Ganeshkumar is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Computer Networks and Communications. According to data from OpenAlex, Parasuraman Ganeshkumar has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Computer Networks and Communications. Recurrent topics in Parasuraman Ganeshkumar's work include COVID-19 epidemiological studies (11 papers), COVID-19 and healthcare impacts (5 papers) and Mobile Ad Hoc Networks (5 papers). Parasuraman Ganeshkumar is often cited by papers focused on COVID-19 epidemiological studies (11 papers), COVID-19 and healthcare impacts (5 papers) and Mobile Ad Hoc Networks (5 papers). Parasuraman Ganeshkumar collaborates with scholars based in India, South Africa and Australia. Parasuraman Ganeshkumar's co-authors include S. Gopalakrishnan, Manoj Murhekar, Denny John, Ram Madhavan, Sanjay Mehendale, M. Saravanan, Christopher Christopher, Vijayaprasad Gopichandran, Sambit Dash and Ramasamy Aarthy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Emerging infectious diseases.

In The Last Decade

Parasuraman Ganeshkumar

36 papers receiving 981 citations

Hit Papers

Systematic reviews and me... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Parasuraman Ganeshkumar 249 158 149 131 95 41 1.0k
Nicolas Berger 205 0.8× 106 0.7× 82 0.6× 282 2.2× 64 0.7× 47 1.1k
Emily Vardell 115 0.5× 95 0.6× 53 0.4× 142 1.1× 52 0.5× 41 940
Mohammad Tabatabai 110 0.4× 90 0.6× 103 0.7× 94 0.7× 77 0.8× 69 897
Naomi C. Brownstein 130 0.5× 120 0.8× 51 0.3× 97 0.7× 64 0.7× 64 1.0k
Jackie Stapleton 196 0.8× 73 0.5× 195 1.3× 261 2.0× 125 1.3× 21 1.2k
Ming Liu 81 0.3× 77 0.5× 317 2.1× 41 0.3× 32 0.3× 45 1.2k
Ali Mahmoud Ahmed 151 0.6× 68 0.4× 74 0.5× 46 0.4× 50 0.5× 29 913
Jingchun Fan 251 1.0× 116 0.7× 228 1.5× 64 0.5× 69 0.7× 48 998
Heather Ames 90 0.4× 116 0.7× 85 0.6× 149 1.1× 98 1.0× 39 805
Eduardo Navarro-Jiménez 89 0.4× 118 0.7× 86 0.6× 78 0.6× 114 1.2× 36 1.1k

Countries citing papers authored by Parasuraman Ganeshkumar

Since Specialization
Citations

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

Fields of papers citing papers by Parasuraman Ganeshkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parasuraman Ganeshkumar

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