Kapil Kaushik

39 total papers · 478 total citations
25 papers, 301 citations indexed

About

Kapil Kaushik is a scholar working on Sociology and Political Science, Marketing and Information Systems and Management. According to data from OpenAlex, Kapil Kaushik has authored 25 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 8 papers in Marketing and 7 papers in Information Systems and Management. Recurrent topics in Kapil Kaushik's work include Digital Marketing and Social Media (10 papers), Technology Adoption and User Behaviour (7 papers) and Consumer Behavior in Brand Consumption and Identification (6 papers). Kapil Kaushik is often cited by papers focused on Digital Marketing and Social Media (10 papers), Technology Adoption and User Behaviour (7 papers) and Consumer Behavior in Brand Consumption and Identification (6 papers). Kapil Kaushik collaborates with scholars based in India, United States and Bhutan. Kapil Kaushik's co-authors include Nikunj Kumar Jain, Rajhans Mishra, Yogesh K. Dwivedi, Nripendra P. Rana, Neena Sinha, Alok Kumar Singh, Piyush Choudhary, Abhishek Mishra, Dianne Cyr and Shubhamoy Dey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Computers in Human Behavior.

In The Last Decade

Kapil Kaushik

23 papers receiving 285 citations

Author Peers

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

Author Last Decade Papers Cites
Kapil Kaushik 151 93 75 70 49 25 301
Pooja Kumari 90 0.6× 69 0.7× 90 1.2× 50 0.7× 29 0.6× 25 280
Sangeeta Arora 102 0.7× 99 1.1× 119 1.6× 52 0.7× 50 1.0× 23 297
Vinki Rani 62 0.4× 98 1.1× 106 1.4× 66 0.9× 69 1.4× 30 333
Ahmad Khaliq 172 1.1× 88 0.9× 81 1.1× 190 2.7× 83 1.7× 18 360
Devinaga Rasiah 76 0.5× 56 0.6× 49 0.7× 75 1.1× 40 0.8× 29 280
Marvello Yang 90 0.6× 109 1.2× 139 1.9× 57 0.8× 31 0.6× 16 312
Vera Gelashvili 91 0.6× 48 0.5× 65 0.9× 35 0.5× 37 0.8× 28 282
Tomasz Szopiński 108 0.7× 65 0.7× 114 1.5× 33 0.5× 49 1.0× 21 343
Felipe Zambaldi 115 0.8× 93 1.0× 57 0.8× 41 0.6× 38 0.8× 41 282
Eddy S. Fang 111 0.7× 47 0.5× 43 0.6× 57 0.8× 51 1.0× 17 298

Countries citing papers authored by Kapil Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Kaushik

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