Kevin M. Elliott

31 papers receiving 1.7k citations

Hit Papers

Student Satisfaction: An alternative approach to assessin...20022026201020182002200400600

Peers

Kevin M. Elliott
Comparison fields: 5 of 120
  • Organizational Behavior and Human Resource Management 770
  • Education 656
  • Sociology and Political Science 392
  • Marketing 377
  • Information Systems and Management 333
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Countries citing papers authored by Kevin M. Elliott

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Elliott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Elliott. 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 Kevin M. Elliott. The network helps show where Kevin M. Elliott may publish in the future.

Co-authorship network of co-authors of Kevin M. Elliott

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Elliott. A scholar is included among the top collaborators of Kevin M. Elliott 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 Kevin M. Elliott. Kevin M. Elliott 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
The Impact of Emotions on Consumer Attitude Towards a Self-Driving Vehicle: Using the Pad (Pleasure, Arousal, Dominance) Paradigm to Predict Intention to Use
2
2 31
3
Misconceptions as a trigger for enhancing student learning in higher education
7
4
Using the PAD (Pleasure, Arousal, and Dominance) Model to Explain Facebook Attitudes and Use Intentions
17
5
Swimming in unchartered waters: A case for developing lecturers of English in Vietnam higher education
0
6 40
7 44
8
Consumers' Intention to Use Self-Scanning Technology: The Role of Technology Readiness and Perceptions toward Self-Service Technology
40
9 18
10 50
11 22
12 92
13 3
14 499
15 32
16 29
17 16
18 10
19 14
20 21

About Kevin M. Elliott

Kevin M. Elliott is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (12 papers), Consumer Retail Behavior Studies (11 papers) and Technology Adoption and User Behaviour (8 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (770 citations), Information Systems and Management (333 citations) and Marketing (377 citations). Kevin M. Elliott has collaborated with scholars based in United States. Frequent co-authors include Dooyoung Shin, Margaret Healy, Juan Meng, Mark C. Hall, David Roach, Mark Hall, Gloria Meng, Venkatapparao Mummalaneni, Mark Hall and Julie Knight. Their work appears in journals such as Journal of Retailing and Consumer Services, Journal of Consumer Marketing and Electronic Commerce Research and Applications.

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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