Mohit Sharma

1.0k total citations
29 papers, 394 citations indexed

About

Mohit Sharma is a scholar working on Applied Psychology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mohit Sharma has authored 29 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Applied Psychology, 7 papers in General Health Professions and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mohit Sharma's work include Behavioral Health and Interventions (8 papers), COVID-19 epidemiological studies (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Mohit Sharma is often cited by papers focused on Behavioral Health and Interventions (8 papers), COVID-19 epidemiological studies (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). Mohit Sharma collaborates with scholars based in United States, India and Australia. Mohit Sharma's co-authors include Robert Roseby, Premila Webster, Adam Polnay, Naomi Priest, Nick Spencer, Elizabeth Waters, Behrooz Behbod, Natalie C. Benda, Jessica S. Ancker and Brian J. Zikmund‐Fisher and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Journal of General Internal Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Mohit Sharma

27 papers receiving 388 citations

Peers

Mohit Sharma
Comparison fields: 5 of 95
  • Physiology 195
  • General Health Professions 83
  • Speech and Hearing 75
  • Public Health, Environmental and Occupational Health 69
  • Health, Toxicology and Mutagenesis 54
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Citations per field, relative to Mohit Sharma
Mohit Sharma · 1×
Citations per year, relative to Mohit Sharma
Mohit Sharma · 1×

Countries citing papers authored by Mohit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Sharma. A scholar is included among the top collaborators of Mohit Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohit Sharma. Mohit Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 1
3 3
4 4
5 1
6 3
7 6
8 2
9 10
10 7
11 4
12 24
13 20
14 20
15
Public health implications of a delay differential equation model for COVID 19
2
16
A new delay differential equation model for COVID-19
2
17 1
18 65
19 192
20 3

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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