Anup Anvikar

763 citations
44 papers · 355 · h-index 12

Impact in

Papers in

Anup Anvikar

38 papers receiving 345 citations

Peers

Anup Anvikar
Comparison fields: 5 of 77
  • Parasitology 53
  • Public Health, Environmental and Occupational Health 221
  • Modeling and Simulation 25
  • Infectious Diseases 95
  • Computational Theory and Mathematics 44
Replace Jesse Gitaka with:
Jesse Gitaka Kenya
Sara E. Canavati Australia
Bosco Agaba Uganda
Policarpo Ncogo Spain
Bouasy Hongvanthong Laos
Neeru Singh India
Fatoumata Nafo-Traoré Switzerland
Lucas Otieno Kenya
Mike Chaponda Zambia
Chimere Agomo Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by Anup Anvikar

Since Specialization
Citations

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

Fields of papers citing papers by Anup Anvikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anup Anvikar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anup Anvikar Line = papers co-authored together Anup Anvikar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201242
2 201540
3 201728
4 201721
5 202221
6 202319
7 200716
8 201616
9 201814
10 200814
11 201712
12 201911
13 200810
14 200910
15 201310
16 20149
17 20218
18 20178
19 20095
20 20245

About Anup Anvikar

Anup Anvikar is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Parasitology, General Health Professions and Computational Theory and Mathematics, having authored 44 papers that have together received 355 indexed citations. Recurring topics across this work include Malaria Research and Control (31 papers), Mosquito-borne diseases and control (22 papers), Computational Drug Discovery Methods (4 papers), Child Nutrition and Water Access (4 papers), Vector-borne infectious diseases (3 papers), Research on Leishmaniasis Studies (3 papers), Digital Imaging for Blood Diseases (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Parasitology (53 citations), Public Health, Environmental and Occupational Health (221 citations), Modeling and Simulation (25 citations), Infectious Diseases (95 citations) and Computational Theory and Mathematics (44 citations). Anup Anvikar has collaborated with scholars based in India, United States and Thailand. Frequent co-authors include Neena Valecha, Mrigendra P. Singh, Rajnikant Dixit, Kalyan B. Saha, Praveen K. Bharti, Piyoosh Kumar Singh, Abhinav Sinha, V. G. Rao, Neelima Mishra and Mradul Mohan. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, Tropical Medicine & International Health, PLoS ONE and Scientific Reports.

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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