Mayoor Mohan

739 citations
27 papers · 558 · h-index 15

Impact in

Papers in

    • Consumer Behavior in Brand Consumption and Identification 13
    • Consumer Market Behavior and Pricing 2
    • Consumer Retail Behavior Studies 2
    • Digital Marketing and Social Media 13

Mayoor Mohan

27 papers receiving 547 citations

Peers

Mayoor Mohan
Comparison fields: 5 of 70
  • Marketing 325
  • Organizational Behavior and Human Resource Management 177
  • Business and International Management 21
  • Strategy and Management 151
  • Information Systems and Management 47
Replace Timo Mandler with:
Timo Mandler France
Jiaxun He China
Fernando Fastoso United Kingdom
Yu-Chun Chung Taiwan
Tiina Tuominen Finland
Ruizhi Yuan China
Elad Granot United States
Brian R. Murtha United States
Sang‐Eun Byun United States
Marco Cioppi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Mayoor Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Mayoor Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayoor Mohan, 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 Mayoor Mohan Line = papers co-authored together Mayoor Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 201956
3 201953
4 201948
5 201839
6 201736
7 201832
8 201629
9 202126
10 201625
11 201622
12 201722
13 201718
14 201718
15 202015
16 202214
17 20226
18 20226
19 20215
20 20224

About Mayoor Mohan

Mayoor Mohan is a scholar working on Marketing, Sociology and Political Science, Organizational Behavior and Human Resource Management, Strategy and Management and Social Psychology, having authored 27 papers that have together received 558 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (13 papers), Consumer Behavior in Brand Consumption and Identification (13 papers), Customer Service Quality and Loyalty (11 papers), Corporate Identity and Reputation (3 papers), Consumer Market Behavior and Pricing (2 papers), Media, Gender, and Advertising (2 papers), Consumer Retail Behavior Studies (2 papers) and International Business and FDI (2 papers). The work is most often cited by research in Marketing (325 citations), Organizational Behavior and Human Resource Management (177 citations), Business and International Management (21 citations), Strategy and Management (151 citations) and Information Systems and Management (47 citations). Mayoor Mohan has collaborated with scholars based in United States, Australia and United Arab Emirates. Frequent co-authors include Kevin E. Voss, Munyaradzi W. Nyadzayo, Riza Casidy, Brian P. Brown, Jodie L. Ferguson, Suzanne C. Makarem, Marina Candi, Fernando R. Jiménez, Haeran Jae and D. Eric Boyd. Their work appears in journals such as Industrial Marketing Management, Journal of Business Research, Journal of Business and Industrial Marketing, Journal of Product & Brand Management and European Journal of 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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