Shrawan Kumar Mandal

512 citations
7 papers · 38 indexed · h-index 3
Topics
COVID-19 epidemiological studies (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)COVID-19 Digital Contact Tracing (2 papers)
Partner nations
NepalIndiaFrance

In The Last Decade

Shrawan Kumar Mandal

6 papers receiving 35 citations

Peers

Shrawan Kumar Mandal
Comparison fields: 5 of 33
  • Modeling and Simulation 14
  • Economics and Econometrics 12
  • Infectious Diseases 11
  • Clinical Psychology 6
  • Public Health, Environmental and Occupational Health 5
Replace Nadya Johanna with:
Nadya Johanna Indonesia
V. J. Martin United States
Dirk Douwes‐Schultz Canada
Jad Koweyes Lebanon
Daniel Resnick‐Ault United States
Julie Mayo Lamberte United States
Hamad Eid Al Romaihi Qatar
J.A. Patel United Kingdom
Abdelmajeed Moussa Egypt
Ehab Fawzy Abdo Egypt
Shrawan Kumar Mandal relative to Nadya Johanna Indonesia Nadya Johanna's profile →
Citations per field
00.5×
Nadya Johanna · 1×
Citations per year

Countries citing papers authored by Shrawan Kumar Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Shrawan Kumar Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shrawan Kumar Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Shrawan Kumar Mandal. A scholar is included among the top collaborators of Shrawan Kumar Mandal 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 Shrawan Kumar Mandal. Shrawan Kumar Mandal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 2
5 23
6 6
7 2

About Shrawan Kumar Mandal

Shrawan Kumar Mandal is a scholar working on Modeling and Simulation, Neurology and Health, having authored 7 papers that have together received 38 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Digital Contact Tracing (2 papers). The work is most often cited by research in Modeling and Simulation (14 citations), Infectious Diseases (11 citations) and Health (4 citations). Shrawan Kumar Mandal has collaborated with scholars based in Nepal, India and France. Frequent co-authors include Bimal Sharma Chalise, Rajesh Shah, Sher Bahadur Pun, Safeera Khan, Deepti Gupta, Muhammad Shariful Islam, Ian H Rutkofsky, Bilal Haider Malik, Florian Vogt and Pruthu Thekkur. Their work appears in journals such as Tropical Medicine and Infectious Disease, Contemporary Clinical Trials Communications and Journal of Nepal Health Research Council.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026