Gopal Das

3.0k total citations
70 papers, 2.1k citations indexed

About

Gopal Das is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, Gopal Das has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Marketing, 21 papers in Organizational Behavior and Human Resource Management and 17 papers in Sociology and Political Science. Recurrent topics in Gopal Das's work include Consumer Behavior in Brand Consumption and Identification (41 papers), Consumer Retail Behavior Studies (30 papers) and Customer Service Quality and Loyalty (21 papers). Gopal Das is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (41 papers), Consumer Retail Behavior Studies (30 papers) and Customer Service Quality and Loyalty (21 papers). Gopal Das collaborates with scholars based in India, United States and Australia. Gopal Das's co-authors include Geetika Varshneya, Shivendra Kumar Pandey, James Agarwal, Ioannis Kareklas, Ramendra Singh, Naresh K. Malhotra, Amaradri Mukherjee, Ronn J. Smith, Shailendra Pratap Jain and Srabanti Mukherjee and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Journal of the Academy of Marketing Science.

In The Last Decade

Gopal Das

65 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gopal Das India 24 1.5k 874 668 283 170 70 2.1k
Matteo De Angelis Italy 26 1.5k 1.0× 1.2k 1.4× 445 0.7× 244 0.9× 311 1.8× 55 2.4k
Gaetano Aiello Italy 17 1.6k 1.1× 1.4k 1.6× 392 0.6× 368 1.3× 105 0.6× 37 2.3k
Ching‐Chan Cheng Taiwan 30 1.2k 0.8× 1.3k 1.5× 1.1k 1.6× 239 0.8× 132 0.8× 53 2.4k
Yuri Seo New Zealand 31 1.5k 1.0× 1.8k 2.0× 323 0.5× 215 0.8× 282 1.7× 61 2.8k
Joonas Rokka France 17 1.3k 0.9× 1.3k 1.5× 281 0.4× 354 1.3× 106 0.6× 34 2.1k
Dae-Young Kim United States 23 1.2k 0.8× 1.7k 2.0× 563 0.8× 349 1.2× 204 1.2× 109 2.6k
Lawrence Hoc Nang Fong Macao 28 890 0.6× 1.7k 2.0× 532 0.8× 387 1.4× 191 1.1× 100 2.5k
Nancy Spears United States 21 1.6k 1.1× 1.2k 1.4× 475 0.7× 339 1.2× 290 1.7× 53 2.5k
Mark T. Spence Australia 22 1.1k 0.7× 797 0.9× 579 0.9× 268 0.9× 257 1.5× 51 2.0k
Kyung Hoon Kim South Korea 29 1.6k 1.1× 993 1.1× 674 1.0× 325 1.1× 79 0.5× 89 2.4k

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-authorship network of co-authors of Gopal Das

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Das. A scholar is included among the top collaborators of Gopal Das 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 Gopal Das. Gopal Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kaur, Kulwinder, et al.. (2025). Unveiling coping mechanisms in marketplace discrimination: The allure of artificial intelligence recommendations. Journal of Product Innovation Management. 43(1). 215–247.
2.
Das, Gopal, et al.. (2025). Safety First! Wait, Ambition First! How Parental Psychology Shapes Purchase Preferences for Their Children. Psychology and Marketing. 43(1). 262–273. 1 indexed citations
3.
Das, Gopal, et al.. (2025). Artificial intelligence and credit application processing: the role of embarrassment. European Journal of Marketing. 59(4). 923–950. 2 indexed citations
4.
Das, Gopal, et al.. (2024). Unmasking the pivotal role of ad–target ethnic congruence in driving consumers' response to fear appeals. Psychology and Marketing. 41(6). 1346–1362. 2 indexed citations
5.
Das, Gopal, Patrick van Esch, Shailendra Pratap Jain, & Yuanyuan Cui. (2023). Donor happiness comes from afar: The role of donation beneficiary social distance and benevolence. International Journal of Research in Marketing. 40(4). 865–880. 2 indexed citations
6.
Das, Gopal, et al.. (2023). The impact of scarcity cues on purchase likelihood of art-infused products. Journal of the Academy of Marketing Science. 52(2). 470–488. 18 indexed citations
7.
Sarial‐Abi, Gülen, Aulona Ulqinaku, Giampaolo Viglia, & Gopal Das. (2021). The effect of financial scarcity on discretionary spending, borrowing, and investing. Journal of the Academy of Marketing Science. 51(6). 1214–1243. 13 indexed citations
8.
Sarial‐Abi, Gülen, Aulona Ulqinaku, Giampaolo Viglia, & Gopal Das. (2021). Correction to: The effect of financial scarcity on discretionary spending, borrowing, and investing. Journal of the Academy of Marketing Science. 51(6). 1244–1244. 1 indexed citations
9.
Das, Gopal, Shailendra Pratap Jain, Durairaj Maheswaran, Rebecca J. Slotegraaf, & Raji Srinivasan. (2021). Pandemics and marketing: insights, impacts, and research opportunities. Journal of the Academy of Marketing Science. 49(5). 835–854. 96 indexed citations
10.
Moore, Sarah G., Gopal Das, & Anirban Mukhopadhyay. (2020). Emotional Echo Chambers: Observed Emoji Clarify Individuals’ Emotions and Responses to Social Media Posts. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1 indexed citations
11.
Das, Gopal. (2015). Linkages between self-congruity, brand familiarity, perceived quality and purchase intention: A study of fashion retail brands. Journal of Global Fashion Marketing. 6(3). 180–193. 59 indexed citations
12.
Das, Gopal. (2014). Factors affecting Indian shoppers׳ attitude and purchase intention: An empirical check. Journal of Retailing and Consumer Services. 21(4). 561–569. 37 indexed citations
13.
14.
Das, Gopal. (2014). Does brand personality vary across retail brands and gender? An empirical check. Journal of Strategic Marketing. 23(1). 19–32. 11 indexed citations
15.
Das, Gopal. (2013). Impacts of retail brand personality and self-congruity on store loyalty: The moderating role of gender. Journal of Retailing and Consumer Services. 21(2). 130–138. 130 indexed citations
16.
Singh, Ramendra & Gopal Das. (2013). The impact of job satisfaction, adaptive selling behaviors and customer orientation on salesperson's performance: exploring the moderating role of selling experience. Journal of Business and Industrial Marketing. 28(7). 554–564. 96 indexed citations
17.
Das, Gopal, et al.. (2012). Developing Brand Personality Scales: A Literature Review. SSRN Electronic Journal. 9(2). 44. 5 indexed citations
18.
Das, Gopal. (2011). Effect of Retail Sales Promotion on Buying Behaviour of Customers: An Empirical Study. Indian Journal of Marketing. 41(7). 25–35. 1 indexed citations
19.
Das, Gopal & Rohit Kumar. (2010). Impact of Sales Promotion on Buyer Behaviour: An Empirical Study of Indian Retail Customers. SSRN Electronic Journal. 7 indexed citations
20.
Das, Gopal & Rohit Kumar. (2009). Impact of Store Amenities on Buyers Behaviour:A Study of Convenience Goods Buyer in Organized Retail Sector in India. Indian Journal of Marketing. 39(9). 40–49. 2 indexed citations

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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