Snehasish Banerjee

94 total papers · 3.1k total citations
78 papers, 2.2k citations indexed

About

Snehasish Banerjee is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Snehasish Banerjee has authored 78 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Sociology and Political Science, 30 papers in Artificial Intelligence and 27 papers in Information Systems. Recurrent topics in Snehasish Banerjee's work include Digital Marketing and Social Media (28 papers), Misinformation and Its Impacts (22 papers) and Sentiment Analysis and Opinion Mining (16 papers). Snehasish Banerjee is often cited by papers focused on Digital Marketing and Social Media (28 papers), Misinformation and Its Impacts (22 papers) and Sentiment Analysis and Opinion Mining (16 papers). Snehasish Banerjee collaborates with scholars based in Singapore, United Kingdom and India. Snehasish Banerjee's co-authors include Alton Y.K. Chua, Jyoti Prakash Singh, Pradeep Kumar Roy, Anjan Pal, Jung‐Jae Kim, Shirley S. Ho, Ketan Kotecha, Rahee Walambe, Jyoti Choudrie and Adnan Gutub and has published in prestigious journals such as Journal of Business Research, Tourism Management and Computers in Human Behavior.

In The Last Decade

Snehasish Banerjee

74 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Snehasish Banerjee 1.5k 705 569 433 372 78 2.2k
Arno Scharl 792 0.5× 671 1.0× 410 0.7× 408 0.9× 543 1.5× 113 2.2k
Kartik Hosanagar 1.4k 0.9× 371 0.5× 501 0.9× 1.2k 2.8× 333 0.9× 79 2.8k
G. Lawrence Sanders 1.1k 0.7× 411 0.6× 719 1.3× 1.0k 2.3× 852 2.3× 80 3.2k
Elaine G. Toms 898 0.6× 473 0.7× 944 1.7× 197 0.5× 741 2.0× 105 3.2k
Robert de Hoog 888 0.6× 484 0.7× 267 0.5× 426 1.0× 235 0.6× 75 2.0k
Wen‐Lung Shiau 1.4k 0.9× 351 0.5× 330 0.6× 675 1.6× 1.3k 3.5× 70 3.0k
Sangjae Lee 995 0.7× 586 0.8× 248 0.4× 375 0.9× 695 1.9× 92 2.9k
Yung-Ming Li 833 0.6× 383 0.5× 448 0.8× 395 0.9× 460 1.2× 67 1.8k
Weiquan Wang 1.3k 0.9× 458 0.6× 326 0.6× 568 1.3× 1.1k 2.9× 58 2.6k
Kuanchin Chen 1.8k 1.2× 485 0.7× 325 0.6× 612 1.4× 1.2k 3.2× 74 2.8k

Countries citing papers authored by Snehasish Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Snehasish Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Snehasish Banerjee

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