Saikat Banerjee

82 total papers · 1.3k total citations
50 papers, 827 citations indexed

About

Saikat Banerjee is a scholar working on Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Saikat Banerjee has authored 50 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Marketing, 22 papers in Sociology and Political Science and 9 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Saikat Banerjee's work include Consumer Behavior in Brand Consumption and Identification (22 papers), Digital Marketing and Social Media (19 papers) and Customer Service Quality and Loyalty (8 papers). Saikat Banerjee is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (22 papers), Digital Marketing and Social Media (19 papers) and Customer Service Quality and Loyalty (8 papers). Saikat Banerjee collaborates with scholars based in India, United Kingdom and Japan. Saikat Banerjee's co-authors include Dilip Roy, D. Jurkovic, B. Woelfer, Alexandra Lawrence, J. Elson, Jeremy Wright, Karen Ballard, Gernot Hudelist, Vignesh Ramesh and Swetha Raghavan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Business Research.

In The Last Decade

Saikat Banerjee

47 papers receiving 768 citations

Author Peers

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

Author						Papers	Cites
Saikat Banerjee	334	276	145	122	111	50	827
Wen-Jung Chen	161 0.5×	183 0.7×	18 0.1×	12 0.1×	284 2.6×	31	725
David Mckie	70 0.2×	187 0.7×	34 0.2×	5 0.0×	60 0.5×	98	922
Adam Seth Levine	12 0.0×	310 1.1×	140 1.0×	185 1.5×	12 0.1×	43	824
Donald Young	24 0.1×	46 0.2×	52 0.4×	26 0.2×	32 0.3×	39	782
Helen Roberts	65 0.2×	81 0.3×	54 0.4×	3 0.0×	139 1.3×	64	997
Anil Menon	289 0.9×	256 0.9×	11 0.1×	4 0.0×	147 1.3×	24	808
Margaret Jane Radin	63 0.2×	288 1.0×	77 0.5×	102 0.8×	18 0.2×	46	1.0k
Chunlin Liu	102 0.3×	72 0.3×	41 0.3×	28 0.2×	92 0.8×	36	839
Robert R. Taylor	9 0.0×	123 0.4×	25 0.2×	145 1.2×	276 2.5×	36	925
Isabel Díez Vial	78 0.2×	64 0.2×	34 0.2×		81 0.7×	53	991

Countries citing papers authored by Saikat Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Saikat Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saikat Banerjee

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