Manjit S. Yadav

31 papers receiving 3.3k citations

Hit Papers

An Empirical Investigation of Customer Satisfaction after...200020262008201720002013250500750

Peers

Manjit S. Yadav
Comparison fields: 5 of 108
  • Marketing 1.9k
  • Organizational Behavior and Human Resource Management 1.5k
  • Sociology and Political Science 1.4k
  • Strategy and Management 790
  • Information Systems and Management 782
Replace William J. Qualls with:
William J. Qualls United States
David H. Henard United States
K. Sivakumar United States
Chi Kin Yim Hong Kong
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Peter H. Reingen United States
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Manjit S. Yadav relative to William J. Qualls United States William J. Qualls's profile →
Citations per field
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William J. Qualls · 1×
Citations per year

Countries citing papers authored by Manjit S. Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Manjit S. Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manjit S. Yadav. 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 Manjit S. Yadav. The network helps show where Manjit S. Yadav may publish in the future.

Co-authorship network of co-authors of Manjit S. Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Manjit S. Yadav. A scholar is included among the top collaborators of Manjit S. Yadav 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 Manjit S. Yadav. Manjit S. Yadav 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
#WorkIndexed citations
1 9
2 14
3 17
4 59
5 33
6 8
7
Social Commerce: A Contingency Framework for Assessing Marketing Potentialbreakdown →
323
8 20
9 128
10 440
11 74
12 242
13 72
14 260
15 87
16
An Empirical Investigation of Customer Satisfaction after Service Failure and Recoverybreakdown →
762
17
El papel del valor en la determinación del precio de los servicios
15
18
Capture and Communicate Value in the Pricing of Services
96
19 181
20 85

About Manjit S. Yadav

Manjit S. Yadav is a scholar working on Marketing, Information Systems and Management and General Decision Sciences, having authored 31 papers that have together received 3.7k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (8 papers), Customer Service Quality and Loyalty (8 papers) and Consumer Market Behavior and Pricing (7 papers). The work is most often cited by research in Marketing (1.9k citations), Organizational Behavior and Human Resource Management (1.5k citations) and Information Systems and Management (782 citations). Manjit S. Yadav has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Leonard L. Berry, Michael A. McCollough, Jaideep Prabhu, Rajesh Chandy, Paul A. Pavlou, Kent B. Monroe, Rajan Varadarajan, Thorsten Hennig‐Thurau, Kristine De Valck and Martin Spann. Their work appears in journals such as Journal of Marketing, Journal of Marketing Research and Journal of Consumer 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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