Mayukh Dass

1.8k total citations
58 papers, 1.3k citations indexed

About

Mayukh Dass is a scholar working on Marketing, Sociology and Political Science and Strategy and Management. According to data from OpenAlex, Mayukh Dass has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Marketing, 18 papers in Sociology and Political Science and 12 papers in Strategy and Management. Recurrent topics in Mayukh Dass's work include Consumer Market Behavior and Pricing (17 papers), Digital Marketing and Social Media (16 papers) and Consumer Behavior in Brand Consumption and Identification (13 papers). Mayukh Dass is often cited by papers focused on Consumer Market Behavior and Pricing (17 papers), Digital Marketing and Social Media (16 papers) and Consumer Behavior in Brand Consumption and Identification (13 papers). Mayukh Dass collaborates with scholars based in United States, India and Singapore. Mayukh Dass's co-authors include Moutusy Maity, Piyush Kumar, Xinchun Wang, V. Kumar, Srinivas K. Reddy, Dennis B. Arnett, Naresh K. Malhotra, Xiaoyu Yu, Dale F. Duhan and Walter D. Potter and has published in prestigious journals such as Journal of Business Research, Journal of the Academy of Marketing Science and International Journal of Production Economics.

In The Last Decade

Mayukh Dass

58 papers receiving 1.2k citations

Peers

Mayukh Dass
Comparison fields: 5 of 92
  • Marketing 491
  • Sociology and Political Science 482
  • Information Systems and Management 234
  • Strategy and Management 231
  • Organizational Behavior and Human Resource Management 217
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Citations per field, relative to Mayukh Dass
Mayukh Dass · 1×
Citations per year, relative to Mayukh Dass
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Countries citing papers authored by Mayukh Dass

Since Specialization
Citations

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

Fields of papers citing papers by Mayukh Dass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayukh Dass

This figure shows the co-authorship network connecting the top 25 collaborators of Mayukh Dass. A scholar is included among the top collaborators of Mayukh Dass 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 Mayukh Dass. Mayukh Dass 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
# Work Indexed citations
1 2
2 7
3 8
4 2
5 23
6 5
7 1
8 23
9 51
10 107
11 115
12 141
13 54
14 21
15
Transforming Marketing Education Of The Future: The Role Of Intelligent Agent Technologies (IATs) In Enhancing Student Learning
2
16 16
17
An Investigation of Willingness to Spend Dynamics in Simultaneous Online Auctions
3
18
The Role of Assertiveness in Portfolio Risk and Financial Risk Tolerance among Married Couples
8
19
Modeling Online Art Auction Dynamics Using Functional Data Analysis
37
20
Efficient Integration of PROLOG and Relational Databases in the NED Intelligent Information System.
2

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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