Deepraj Mukherjee

36 total papers · 409 total citations
21 papers, 288 citations indexed

About

Deepraj Mukherjee is a scholar working on Sociology and Political Science, Economics and Econometrics and Information Systems. According to data from OpenAlex, Deepraj Mukherjee has authored 21 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 7 papers in Economics and Econometrics and 6 papers in Information Systems. Recurrent topics in Deepraj Mukherjee's work include Economic Growth and Development (6 papers), Corruption and Economic Development (6 papers) and Culture, Economy, and Development Studies (5 papers). Deepraj Mukherjee is often cited by papers focused on Economic Growth and Development (6 papers), Corruption and Economic Development (6 papers) and Culture, Economy, and Development Studies (5 papers). Deepraj Mukherjee collaborates with scholars based in United States, India and Malaysia. Deepraj Mukherjee's co-authors include Debmalya Mukherjee, Satish Kumar, Nabamita Dutta, Kirti Goyal, Tejinder K. Billing, Somnath Lahiri, Rao Ps, Dipasha Sharma, Miklesh Prasad Yadav and Alex Nikolsko‐Rzhevskyy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Environmental Science and Pollution Research.

In The Last Decade

Deepraj Mukherjee

20 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
Deepraj Mukherjee 92 87 51 40 39 21 288
Sam El Nemar 65 0.7× 81 0.9× 30 0.6× 21 0.5× 55 1.4× 35 316
Yim‐Yu Wong 41 0.4× 138 1.6× 68 1.3× 29 0.7× 47 1.2× 18 327
Shahid Jan 51 0.6× 60 0.7× 55 1.1× 16 0.4× 27 0.7× 28 285
Seungho Choi 52 0.6× 177 2.0× 47 0.9× 25 0.6× 34 0.9× 26 305
Jim Slater 63 0.7× 141 1.6× 30 0.6× 21 0.5× 20 0.5× 20 266
Jinmin Wang 116 1.3× 150 1.7× 71 1.4× 16 0.4× 22 0.6× 30 322
Owais Shafique 42 0.5× 51 0.6× 48 0.9× 10 0.3× 53 1.4× 27 285
Dongil Daniel Keum 66 0.7× 131 1.5× 76 1.5× 27 0.7× 29 0.7× 24 295
Derek Eldridge 70 0.8× 22 0.3× 56 1.1× 21 0.5× 42 1.1× 24 257
Simona Cătălina Ștefan 64 0.7× 66 0.8× 33 0.6× 22 0.6× 26 0.7× 37 272

Countries citing papers authored by Deepraj Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Deepraj Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepraj Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Deepraj Mukherjee. A scholar is included among the top collaborators of Deepraj Mukherjee 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 Deepraj Mukherjee. Deepraj Mukherjee 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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