Divya Bhanot

9 total papers · 406 total citations
4 papers, 236 citations indexed

About

Divya Bhanot is a scholar working on Sociology and Political Science, Clinical Psychology and Health. According to data from OpenAlex, Divya Bhanot has authored 4 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 2 papers in Clinical Psychology and 1 paper in Health. Recurrent topics in Divya Bhanot's work include COVID-19 and Mental Health (2 papers), Social and Economic Development in India (2 papers) and Vaccine Coverage and Hesitancy (1 paper). Divya Bhanot is often cited by papers focused on COVID-19 and Mental Health (2 papers), Social and Economic Development in India (2 papers) and Vaccine Coverage and Hesitancy (1 paper). Divya Bhanot collaborates with scholars based in India and United States. Divya Bhanot's co-authors include Sunil K. Verma, Tushar Singh, Shivantika Sharad, Harleen Kaur, Shalini Mittal and Yogesh Kumar Arya and has published in prestigious journals such as Frontiers in Public Health, Journal of Pacific Rim Psychology and Psychological Studies.

In The Last Decade

Divya Bhanot

4 papers receiving 228 citations

Hit Papers

Stigma and Discrimination... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Divya Bhanot 136 59 54 54 48 4 236
Shivantika Sharad 162 1.2× 58 1.0× 68 1.3× 55 1.0× 49 1.0× 5 264
Enayat M. Soltan 202 1.5× 60 1.0× 64 1.2× 58 1.1× 34 0.7× 9 281
Ivan Jakovljević 181 1.3× 50 0.8× 60 1.1× 54 1.0× 23 0.5× 6 291
Natallia Khamenka 240 1.8× 64 1.1× 63 1.2× 38 0.7× 24 0.5× 6 305
Andrea R. Semlow 98 0.7× 43 0.7× 22 0.4× 40 0.7× 41 0.9× 8 274
Carlo Handy Charles 100 0.7× 21 0.4× 28 0.5× 73 1.4× 42 0.9× 5 226
Mohammad Ali Fardin 206 1.5× 50 0.8× 67 1.2× 49 0.9× 39 0.8× 9 299
Joshua C. Gandi 156 1.1× 83 1.4× 43 0.8× 75 1.4× 49 1.0× 9 325
Quynh Thi Nguyen 165 1.2× 85 1.4× 65 1.2× 24 0.4× 37 0.8× 10 287
Fernando Ramalho Gameleira Soares 142 1.0× 37 0.6× 25 0.5× 33 0.6× 15 0.3× 8 258

Countries citing papers authored by Divya Bhanot

Since Specialization
Citations

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

Fields of papers citing papers by Divya Bhanot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Bhanot

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

All Works

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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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