Deva Rangarajan

553 citations
9 papers · 419 · h-index 8

Impact in

Papers in

Deva Rangarajan

9 papers receiving 376 citations

Peers

Deva Rangarajan
Comparison fields: 5 of 48
  • Organizational Behavior and Human Resource Management 294
  • Marketing 112
  • Information Systems and Management 47
  • Strategy and Management 79
  • Social Psychology 94
Replace Carolina Serrano‐Archimi with:
Carolina Serrano‐Archimi France
Ibrahim Harazneh Jordan
Anam Amin Italy
Mohammad Nisar Khattak United Arab Emirates
Peter Atkinson United Kingdom
Nomahaza Mahadi Malaysia
Anam Iqbal Pakistan
Paul Varella Canada
Wyatt A. Schrock United States
Saif Ullah South Korea
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Citations per field
00.5×6.3×
Carolina Serrano‐Archimi · 1×
Citations per year

Countries citing papers authored by Deva Rangarajan

Since Specialization
Citations

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

Fields of papers citing papers by Deva Rangarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Deva Rangarajan, 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 Deva Rangarajan Line = papers co-authored together Deva Rangarajan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007209
2 200370
3 201840
4 201639
5 202319
6 202016
7 200815
8 20237
9 20224

About Deva Rangarajan

Deva Rangarajan is a scholar working on Organizational Behavior and Human Resource Management, Marketing, Strategy and Management, General Health Professions and Sociology and Political Science, having authored 9 papers that have together received 419 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (7 papers), Consumer Behavior in Brand Consumption and Identification (5 papers), Job Satisfaction and Organizational Behavior (3 papers), Digital Marketing and Social Media (2 papers), Innovation and Knowledge Management (2 papers), Service and Product Innovation (2 papers), Workplace Health and Well-being (2 papers) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (294 citations), Marketing (112 citations), Information Systems and Management (47 citations), Strategy and Management (79 citations) and Social Psychology (94 citations). Deva Rangarajan has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include James A. Roberts, Lawrence B. Chonko, Eli Jones, Arun Sharma, Bert Paesbrugghe, Niladri Syam, Rajesh Srivastava, Subhash Jha, Bryan Hochstein and Vijay Mehrotra. Their work appears in journals such as Industrial Marketing Management, Journal of Personal Selling and Sales Management, Journal of Business and Industrial Marketing, International Journal of Research in Marketing and Journal of Business Research.

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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