Deepa Pindolia

1.2k citations
15 papers · 753 · h-index 15

Impact in

Papers in

Deepa Pindolia

15 papers receiving 727 citations

Peers

Deepa Pindolia
Comparison fields: 5 of 91
  • Modeling and Simulation 196
  • Transportation 166
  • Public Health, Environmental and Occupational Health 379
  • Infectious Diseases 92
  • Parasitology 28
Replace Christopher Lourenço with:
Christopher Lourenço United States
Petrina Uusiku Namibia
Elisabeth zu Erbach-Schoenberg United Kingdom
Emily Cohn United States
Bruno Moonen United States
N.M. Manga Senegal
Gillian Stresman United Kingdom
Emmanuel Bonnet France
Nita Bharti United States
Oliver Sabot United States
Deepa Pindolia relative to Christopher Lourenço United States Christopher Lourenço's profile →
Citations per field
00.5×2.9×
Christopher Lourenço · 1×
Citations per year

Countries citing papers authored by Deepa Pindolia

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Pindolia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014120
2 2012106
3 201292
4 201366
5 201464
6 201358
7 201444
8 201942
9 201633
10 201427
11 201724
12 201721
13 201420
14 201519
15 201717

About Deepa Pindolia

Deepa Pindolia is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Pediatrics, Perinatology and Child Health, Transportation and Sociology and Political Science, having authored 15 papers that have together received 753 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Malaria Research and Control (6 papers), COVID-19 epidemiological studies (6 papers), Global Maternal and Child Health (4 papers), Human Mobility and Location-Based Analysis (3 papers), Urban Transport and Accessibility (2 papers), Data-Driven Disease Surveillance (2 papers) and HIV/AIDS Impact and Responses (1 paper). The work is most often cited by research in Modeling and Simulation (196 citations), Transportation (166 citations), Public Health, Environmental and Occupational Health (379 citations), Infectious Diseases (92 citations) and Parasitology (28 citations). Deepa Pindolia has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Andrew J. Tatem, Andrés J. García, David L. Smith, Abdisalan M. Noor, Zhuojie Huang, Caroline O. Buckee, Amy Wesolowski, Robert W. Snow, Christopher Lourenço and Justin M Cohen. Their work appears in journals such as Malaria Journal, International Journal of Health Geographics, Scientific Reports, Open Forum Infectious Diseases and Vaccine.

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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