Madhu Gupta

5.7k citations
131 papers · 1.5k indexed · h-index 23

Madhu Gupta

114 papers receiving 1.4k citations

Peers

Madhu Gupta
Comparison fields: 5 of 145
  • Health 212
  • Pediatrics, Perinatology and Child Health 362
  • Modeling and Simulation 81
  • Infectious Diseases 261
  • Nutrition and Dietetics 190
Replace Muhammad Ali Pate with:
Muhammad Ali Pate United States
Wilson Suraweera Canada
Suneela Garg India
Jeanine Condo Rwanda
Jessica Shearer United States
Ziad El‐Khatib Sweden
Vendhan Gajalakshmi India
Alison Levin‐Rector United States
Reed J D Sorensen United States
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Citations per year

Countries citing papers authored by Madhu Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202510
2 20242
3 20241
4 20242
5 20220
6 202211
7 20221
8 20225
9 202112
10 20214
11 202116
12 20208
13 202016
14
Type of Institution, Academic Stream and Locus of Control as Indicators of Role Conflict among Teacher Educators: An Empirical Study
20161
15 201512
16 201511
17 20149
18
Models of Supportive Supervision for IMNCI Implementation in Selected Districts of Bihar, Orissa and Rajasthan in India
20131
19 20132
20
Incidence of pollen grains at an urban site at Gwalior M.P.
20102

About Madhu Gupta

Madhu Gupta is a scholar working on Health, Modeling and Simulation and Pediatrics, Perinatology and Child Health, having authored 131 papers that have together received 1.5k indexed citations. Recurring topics across this work include Global Maternal and Child Health (33 papers), Child Nutrition and Water Access (25 papers), Vaccine Coverage and Hesitancy (21 papers), Healthcare Systems and Reforms (14 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Viral gastroenteritis research and epidemiology (11 papers), Child Development and Digital Technology (9 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Health (212 citations), Pediatrics, Perinatology and Child Health (362 citations) and Modeling and Simulation (81 citations). Madhu Gupta has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Sandeep Grover, Manmeet Kaur, Rajesh Kumar, Prahbhjot Malhi, Shankar Prinja, Jarnail Singh Thakur, Anil Chauhan, Pankaj Bahuguna, Aditi Gupta and Manmohan Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

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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