Nomita Divi

402 citations
15 papers · 266 · h-index 10

Impact in

    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 4
    • Viral Infections and Outbreaks Research 3
    • HIV/AIDS drug development and treatment 2
    • Data-Driven Disease Surveillance 3
    • Pneumocystis jirovecii pneumonia detection and treatment 1

Nomita Divi

15 papers receiving 255 citations

Peers

Nomita Divi
Comparison fields: 5 of 54
  • Infectious Diseases 114
  • Virology 29
  • Economics and Econometrics 43
  • General Health Professions 27
  • Emergency Medicine 8
Replace Evelyn Ngige with:
Evelyn Ngige Nigeria
Suresh Shastri India
Beatrice Kirubi Kenya
Alex Muganzi Uganda
Lesego Busang Botswana
Paul De Lay Switzerland
Mame Toure United States
Kebba Jobarteh United States
Andrews Gunda Malawi
Wiwat Peerapatanapokin United States
Nomita Divi relative to Evelyn Ngige Nigeria Evelyn Ngige's profile →
Citations per field
00.5×1.5×2.4×
Evelyn Ngige · 1×
Citations per year

Countries citing papers authored by Nomita Divi

Since Specialization
Citations

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

Fields of papers citing papers by Nomita Divi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nomita Divi, 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 Nomita Divi Line = papers co-authored together Nomita Divi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200858
2 200747
3 200530
4 200723
5 200718
6 201617
7 202216
8 202115
9 200715
10 200710
11 20185
12 20234
13 20224
14 20213
15 20241

About Nomita Divi

Nomita Divi is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Health and General Health Professions, having authored 15 papers that have together received 266 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), Data-Driven Disease Surveillance (3 papers), Viral Infections and Outbreaks Research (3 papers), COVID-19 epidemiological studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Infectious Diseases (114 citations), Virology (29 citations), Economics and Econometrics (43 citations), General Health Professions (27 citations) and Emergency Medicine (8 citations). Nomita Divi has collaborated with scholars based in United States, France and Ivory Coast. Frequent co-authors include Elena Losina, Mark S. Smolinski, Rochelle P. Walensky, Milton C. Weinstein, Kenneth A. Freedberg, Bingxia Wang, Sue J. Goldie, Adam W. Crawley, Grant Miller and G. Scott Gazelle. Their work appears in journals such as AIDS, Health Affairs, JMIR Public Health and Surveillance, Journal of Medical Internet Research and European Journal of Epidemiology.

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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