Deepa Pindolia

1.2k citations
15 papers · 762 · h-index 15

Impact in

Papers in

Deepa Pindolia

15 papers receiving 738 citations

Peers

Deepa Pindolia
Comparison fields: 5 of 87
  • Modeling and Simulation 144
  • Transportation 143
  • Public Health, Environmental and Occupational Health 364
  • Infectious Diseases 72
  • Epidemiology 106
Replace Christopher Lourenço with:
Christopher Lourenço United States
Elisabeth zu Erbach-Schoenberg United Kingdom
Petrina Uusiku Namibia
Emily Cohn United States
Lynn Carlson United States
Taimur Qureshi Norway
Syed Basit Rasheed Pakistan
Gillian Stresman United Kingdom
Gabriel Carrasco‐Escobar Peru
Michael R. Desjardins 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 2014121
2 2012107
3 201293
4 201366
5 201465
6 201359
7 201944
8 201444
9 201634
10 201427
11 201724
12 201721
13 201420
14 201520
15 201717

About Deepa Pindolia

Deepa Pindolia is a scholar working on Public Health, Environmental and Occupational Health, Transportation, Sociology and Political Science, Modeling and Simulation and Infectious Diseases, having authored 15 papers that have together received 762 indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Human Mobility and Location-Based Analysis (3 papers), Urban Transport and Accessibility (2 papers), Mosquito-borne diseases and control (2 papers), COVID-19 epidemiological studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Climate Change, Adaptation, Migration (1 paper) and Global Maternal and Child Health (1 paper). The work is most often cited by research in Modeling and Simulation (144 citations), Transportation (143 citations), Public Health, Environmental and Occupational Health (364 citations), Infectious Diseases (72 citations) and Epidemiology (106 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, Population Health Metrics, PLoS ONE, Migration Studies and International Journal of Health Geographics.

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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