Arvind Kumar Singh

2.0k citations
76 papers · 1.2k indexed · h-index 17

Impact in

Papers in

Arvind Kumar Singh

67 papers receiving 1.1k citations

Peers

Arvind Kumar Singh
Comparison fields: 5 of 152
  • Infectious Diseases 225
  • Modeling and Simulation 54
  • Reproductive Medicine 89
  • Clinical Psychology 189
  • Public Health, Environmental and Occupational Health 261
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Lin Su China
Beatrice Minder Switzerland
Vicente A. Benítes-Zapata Peru
Yousef Moradi Iran
Arpana Verma United Kingdom
Fulvio Ricceri Italy
Fatma M. Shebl United States
Kamarul Imran Musa Malaysia
Kai Wei Lee Malaysia
Mohammad-Reza Sohrabi Iran
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Citations per field
00.5×1.7×
Lin Su · 1×
Citations per year

Countries citing papers authored by Arvind Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind Kumar Singh. 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 Arvind Kumar Singh. The network helps show where Arvind Kumar Singh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 20242
4 20234
5 202263
6 202227
7 202210
8 202239
9 20213
10 20210
11 202149
12
Traditional remedies and COVID-19 : A qualitative exploration of indigenous resources
20201
13 20190
14 201723
15 201725
16 20153
17 201448
18
Prevalence of household-level food insecurity and its determinants in an urban resettlement colony in north India.
201496
19
Community Medicine as A Career Option! How Is It Perceived by Medical Students?
20134
20 201250

About Arvind Kumar Singh

Arvind Kumar Singh is a scholar working on Modeling and Simulation, General Dentistry, Infectious Diseases, Health and Nutrition and Dietetics, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Child Nutrition and Water Access (7 papers), COVID-19 and Mental Health (6 papers), Global Maternal and Child Health (6 papers), COVID-19 Clinical Research Studies (6 papers), COVID-19 epidemiological studies (6 papers) and Global Public Health Policies and Epidemiology (5 papers). The work is most often cited by research in Infectious Diseases (225 citations), Modeling and Simulation (54 citations), Reproductive Medicine (89 citations), Clinical Psychology (189 citations) and Public Health, Environmental and Occupational Health (261 citations). Arvind Kumar Singh has collaborated with scholars based in India, United States and Greece. Frequent co-authors include Meenakshi Tiwari, Anima Tripathi, Tulsidas G. Shrivastav, Shilpa Prasad, Irfan Ali, Shail K. Chaube, Palanivel Chinnakali, Ashutosh Pandey, Binod Kumar Patro and Adrija Roy. Their work appears in journals such as BMJ Open, PLoS ONE, Human Vaccines & Immunotherapeutics, Journal of Medical Virology and Rural and Remote Health.

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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