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

Author Peers

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

Author						Papers	Cites
Mayukh Dass	491	482	234	231	217	58	1.3k
Suneel Babu Chatla	321 0.7×	327 0.7×	246 1.1×	218 0.9×	242 1.1×	10	1.2k
Maria Petrescu	544 1.1×	619 1.3×	229 1.0×	116 0.5×	210 1.0×	83	1.3k
Arnaud De Bruyn	506 1.0×	742 1.5×	236 1.0×	99 0.4×	191 0.9×	24	1.3k
Vincent Dutot	267 0.5×	465 1.0×	335 1.4×	256 1.1×	144 0.7×	49	1.2k
Shavneet Sharma	572 1.2×	691 1.4×	420 1.8×	142 0.6×	283 1.3×	48	1.5k
Suresh Malodia	370 0.8×	473 1.0×	249 1.1×	149 0.6×	97 0.4×	25	1.3k
Shaphali Gupta	554 1.1×	553 1.1×	183 0.8×	178 0.8×	329 1.5×	21	1.1k
Guru Prabhakar	323 0.7×	491 1.0×	225 1.0×	179 0.8×	256 1.2×	40	1.2k
Niladri Syam	536 1.1×	236 0.5×	108 0.5×	284 1.2×	230 1.1×	26	1.2k
Ralf Wagner	529 1.1×	325 0.7×	217 0.9×	454 2.0×	219 1.0×	89	1.4k

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

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20 of 20 papers shown

Dass, Mayukh, et al.. (2024). An approach to brand planning under high competitor set variation. Journal of Business Research. 182. 114798–114798. 2 indexed citations

Dass, Mayukh, et al.. (2023). An Investigation Into Slogan Design On Creating Slogan–Brand Alignment. Journal of Advertising Research. 63(1). 43–60. 7 indexed citations

Dass, Mayukh, et al.. (2023). An exploration of ripple effects of advertising among major suppliers in a supply chain network. Journal of Business Research. 169. 114299–114299. 2 indexed citations

Dass, Mayukh, et al.. (2023). Using R-A theory and the optimal distinctiveness perspective to understand the strategic marketing approaches used by platform-based organizations: The cases of Facebook and Twitter in digital ecosystems. Journal of Business Research. 167. 114192–114192. 8 indexed citations

Dass, Mayukh, et al.. (2023). The time-varying effects of rhetorical signals in crowdfunding campaigns. Journal of the Academy of Marketing Science. 52(2). 370–398. 23 indexed citations

Duhan, Dale F., et al.. (2022). The influence of corporate social responsibility appeals (CSRAs) on product sales: Which appeal types perform better?. Journal of Retailing. 99(1). 115–135. 5 indexed citations

Dass, Mayukh, et al.. (2022). Applications of artificial intelligence in B2B marketing: Challenges and future directions. Industrial Marketing Management. 107. 300–314. 57 indexed citations

Kumar, Piyush, et al.. (2020). On the Extendibility of Brands with Subordinate versus Basic Category Concepts. Journal of Retailing. 97(3). 394–404. 1 indexed citations

Arunachalam, S., et al.. (2019). A theoretical model of the formation and dissolution of emerging market international marketing alliances. Journal of the Academy of Marketing Science. 48(5). 826–847. 23 indexed citations

10.

Dass, Mayukh, et al.. (2019). The Impact of Online Review Content and Linguistic Style Matching on New Product Sales: The Moderating Role of Review Helpfulness. Decision Sciences. 52(3). 749–775. 51 indexed citations

11.

Maity, Moutusy, Mayukh Dass, & Piyush Kumar. (2018). The impact of media richness on consumer information search and choice. Journal of Business Research. 87. 36–45. 107 indexed citations

12.

Wang, Xinchun & Mayukh Dass. (2017). Building innovation capability: The role of top management innovativeness and relative-exploration orientation. Journal of Business Research. 76. 127–135. 115 indexed citations

13.

Maity, Moutusy & Mayukh Dass. (2014). Consumer decision-making across modern and traditional channels: E-commerce, m-commerce, in-store. Decision Support Systems. 61. 34–46. 141 indexed citations

14.

Maity, Moutusy, Mayukh Dass, & Naresh K. Malhotra. (2014). The Antecedents and Moderators of Offline Information Search: A Meta-Analysis. Journal of Retailing. 90(2). 233–254. 54 indexed citations

15.

Dass, Mayukh, et al.. (2014). A study of the antecedents of slogan liking. Journal of Business Research. 67(12). 2504–2511. 21 indexed citations

16.

Dixit, Ashutosh, et al.. (2013). Transforming Marketing Education Of The Future: The Role Of Intelligent Agent Technologies (IATs) In Enhancing Student Learning. DigitalCommons - Kennesaw State University (Kennesaw State University). 2(3). 1–13. 2 indexed citations

17.

Dass, Mayukh. (2011). An Investigation of Willingness to Spend Dynamics in Simultaneous Online Auctions. Journal of electronic commerce research. 12(1). 44. 3 indexed citations

18.

Dass, Mayukh, et al.. (2010). The Role of Assertiveness in Portfolio Risk and Financial Risk Tolerance among Married Couples. SSRN Electronic Journal. 8 indexed citations

19.

Reddy, Srinivas K. & Mayukh Dass. (2006). Modeling Online Art Auction Dynamics Using Functional Data Analysis. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 37 indexed citations

20.

Maier, Frederick, Donald Nute, Walter D. Potter, et al.. (2003). Efficient Integration of PROLOG and Relational Databases in the NED Intelligent Information System.. 364–369. 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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