Gopal Das

3.0k citations
67 papers · 2.2k · h-index 23

Impact in

Papers in

Gopal Das

63 papers receiving 2.1k citations

Peers

Gopal Das
Comparison fields: 5 of 103
  • Marketing 1.5k
  • Organizational Behavior and Human Resource Management 654
  • Information Systems and Management 285
  • Human-Computer Interaction 152
  • Sociology and Political Science 864
Replace Matteo De Angelis with:
Matteo De Angelis Italy
Nancy Spears United States
Kyung Hoon Kim South Korea
Anssi Tarkiainen Finland
Wi‐Suk Kwon United States
Yingjiao Xu United States
Carla Ferraro Australia
Gaetano Aiello Italy
Ravindra Chitturi United States
Gopal Das relative to Matteo De Angelis Italy Matteo De Angelis's profile →
Citations per field
00.5×1.5×
Matteo De Angelis · 1×
Citations per year

Countries citing papers authored by Gopal Das

Since Specialization
Citations

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

Fields of papers citing papers by Gopal Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gopal Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gopal Das Line = papers co-authored together Gopal Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017163
2 2018157
3 2018146
4 2013131
5 2017111
6 2016104
7 2021103
8 201396
9 201889
10 201487
11 201764
12 201559
13 201355
14 202152
15 201651
16 201648
17 202348
18 201440
19 201235
20 202234

About Gopal Das

Gopal Das is a scholar working on Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science, Social Psychology and Information Systems and Management, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (39 papers), Consumer Retail Behavior Studies (29 papers), Customer Service Quality and Loyalty (20 papers), Digital Marketing and Social Media (11 papers), Behavioral Health and Interventions (6 papers), Environmental Sustainability in Business (5 papers), AI in Service Interactions (5 papers) and Consumer Market Behavior and Pricing (4 papers). The work is most often cited by research in Marketing (1.5k citations), Organizational Behavior and Human Resource Management (654 citations), Information Systems and Management (285 citations), Human-Computer Interaction (152 citations) and Sociology and Political Science (864 citations). Gopal Das has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Geetika Varshneya, James Agarwal, Shivendra Kumar Pandey, Ioannis Kareklas, Ramendra Singh, Naresh K. Malhotra, Shailendra Pratap Jain, Amaradri Mukherjee, Ronn J. Smith and Srabanti Mukherjee. Their work appears in journals such as Journal of Business Research, Journal of Retailing and Consumer Services, Journal of Strategic Marketing, Journal of the Academy of Marketing Science and Journal of Services Marketing.

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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