Deva Rangarajan

2.9k citations
56 papers · 2.1k · h-index 22

Impact in

Papers in

Deva Rangarajan

52 papers receiving 1.9k citations

Peers

Deva Rangarajan
Comparison fields: 5 of 79
  • Organizational Behavior and Human Resource Management 839
  • Marketing 459
  • Information Systems and Management 224
  • Management of Technology and Innovation 195
  • Strategy and Management 274
Replace Omar S. Itani with:
Omar S. Itani Lebanon
Qian Huang China
Ad de Jong Netherlands
Ellen Bolman Pullins United States
Alex Ricardo Zablah United States
Russel Philip John Kingshott Australia
Sally Rao Hill Australia
Flávia Cavazotte Brazil
Dawn R. Deeter‐Schmelz United States
Eugene Sivadas United States
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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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013267
2 2007216
3 2005206
4 2005110
5 2020101
6 202181
7 200372
8 200770
9 201770
10 202160
11 202260
12 202154
13 202049
14 201447
15 201647
16 201843
17 201641
18 202441
19 201935
20 200830

About Deva Rangarajan

Deva Rangarajan is a scholar working on Organizational Behavior and Human Resource Management, Marketing, Information Systems and Management, Strategy and Management and Management of Technology and Innovation, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (19 papers), Marketing and Advertising Strategies (18 papers), Employee Performance and Motivation (9 papers), Digital Innovation in Industries (5 papers), COVID-19 Pandemic Impacts (4 papers), Job Satisfaction and Organizational Behavior (4 papers), Technology Adoption and User Behaviour (4 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (839 citations), Marketing (459 citations), Information Systems and Management (224 citations), Management of Technology and Innovation (195 citations) and Strategy and Management (274 citations). Deva Rangarajan has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Paul Gemmel, Eli Jones, Katrien Verleye, Arun K. Sharma, Bert Paesbrugghe, Lawrence B. Chonko, Steve Muylle, Kristof De Wulf, Niels Schillewaert and Betsy DuBois Gelb. Their work appears in journals such as Industrial Marketing Management, Journal of Personal Selling and Sales Management, Journal of Business and Industrial Marketing, California Management Review and Production and Operations Management.

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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