Kevin J. Trainor

3.1k total citations · 1 hit paper
37 papers, 2.4k citations indexed

About

Kevin J. Trainor is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Kevin J. Trainor has authored 37 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organizational Behavior and Human Resource Management, 10 papers in Sociology and Political Science and 10 papers in Information Systems and Management. Recurrent topics in Kevin J. Trainor's work include Customer Service Quality and Loyalty (12 papers), Digital Marketing and Social Media (10 papers) and Technology Adoption and User Behaviour (6 papers). Kevin J. Trainor is often cited by papers focused on Customer Service Quality and Loyalty (12 papers), Digital Marketing and Social Media (10 papers) and Technology Adoption and User Behaviour (6 papers). Kevin J. Trainor collaborates with scholars based in United States, Australia and Lebanon. Kevin J. Trainor's co-authors include Raj Agnihotri, Adam Rapp, James “Mick” Andzulis, Alexander A. Morley, R. Seshadri, Richard Ryall, Michael T. Krush, Omar S. Itani, Lauren Skinner Beitelspacher and Michael Rodríguez and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Business Research.

In The Last Decade

Kevin J. Trainor

34 papers receiving 2.2k citations

Hit Papers

Social media technology usage and customer relationship p... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers

Kevin J. Trainor
Douglas E. Hughes United States
Yong-Beom Kim South Korea
Tim Hughes United Kingdom
John D. Blair United States
Jieun Yu South Korea
Douglas E. Hughes United States
Kevin J. Trainor
Citations per year, relative to Kevin J. Trainor Kevin J. Trainor (= 1×) peers Douglas E. Hughes

Countries citing papers authored by Kevin J. Trainor

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Trainor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin J. Trainor

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Trainor. A scholar is included among the top collaborators of Kevin J. Trainor 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 J. Trainor. Kevin J. Trainor 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
1.
Rodríguez, Michael & Kevin J. Trainor. (2025). INTEGRATING GENERATIVE ARTIFICIAL INTELLIGENCE (GEnAI) IN A PROFESSIONAL SELLING COURSE: APPLICATION OF PROMPT ENGINEERING. Marketing Education Review. 1–12.
2.
Krush, Michael T., et al.. (2022). The (quiet) ego and sales: Transcending self-interest and its relationship with adaptive selling. Journal of Business Research. 150. 326–338. 10 indexed citations
3.
Trainor, Kevin J., et al.. (2020). Understanding Students Perception Differences on Blended Learning: An Explorative Study among College Students. The Academy of Educational Leadership Journal. 24(1). 1. 3 indexed citations
4.
Zhang, Yulei, et al.. (2020). Investigating perception biases on intellectual property search systems: a study on the priming effect. Information Research an international electronic journal.
5.
Trainor, Kevin J., et al.. (2018). Who Favor Blended Learning More: Men or Women? An Explorative Study on Gender Differences. Journal of the Association for Information Systems. 1. 4 indexed citations
6.
Ogilvie, Jessica L., Raj Agnihotri, Adam Rapp, & Kevin J. Trainor. (2018). Social media technology use and salesperson performance: A two study examination of the role of salesperson behaviors, characteristics, and training. Industrial Marketing Management. 75. 55–65. 110 indexed citations
7.
Trainor, Kevin J., et al.. (2016). Changing Students’ Perceptions of Professional Selling Using an Online Learning Workshop. SHILAP Revista de lepidopterología. 24(2). 57–64. 3 indexed citations
8.
Varvel, Virgil E., et al.. (2011). Tasks vs. Roles: A Center Perspective on Data Curation Needs in the Humanities.. DH. 190–193. 3 indexed citations
9.
Trainor, Kevin J.. (2011). 3-D Analysis of Energy Dissipation Mechanisms in Steel Fiber Reinforced Reactive Powder Concrete. DigitalCommons (California Polytechnic State University). 5 indexed citations
10.
Trainor, Kevin J., Adam Rapp, Lauren Skinner Beitelspacher, & Niels Schillewaert. (2010). Integrating information technology and marketing: An examination of the drivers and outcomes of e-Marketing capability. Industrial Marketing Management. 40(1). 162–174. 169 indexed citations
11.
Renear, Allen H., et al.. (2010). Data Curation Education for the Humanities: Principles and Challenges. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 1 indexed citations
12.
Renear, Allen H., et al.. (2009). Towards a cross‐disciplinary notion of data level in data curation. Proceedings of the American Society for Information Science and Technology. 46(1). 1–8. 4 indexed citations
13.
Rapp, Adam, Kevin J. Trainor, & Raj Agnihotri. (2009). Performance implications of customer-linking capabilities: Examining the complementary role of customer orientation and CRM technology. Journal of Business Research. 63(11). 1229–1236. 190 indexed citations
14.
Agnihotri, Raj, Adam Rapp, & Kevin J. Trainor. (2009). Understanding the role of information communication in the buyer‐seller exchange process: antecedents and outcomes. Journal of Business and Industrial Marketing. 24(7). 474–486. 100 indexed citations
15.
Lindeman, Geoffrey J., Jane E. Visvader, Jennifer Leary, et al.. (2004). Frequency of the ATM IVS10-6T→G variant in Australian multiple-case breast cancer families. Breast Cancer Research. 6(4). R401–7. 15 indexed citations
16.
Morley, Alexander A. & Kevin J. Trainor. (2001). Lack of an effect of vitamin E on lifespan of mice. Biogerontology. 2(2). 109–112. 48 indexed citations
17.
McManus, Michael E., Wendy Burgess, Ieva Stupans, et al.. (1988). Activation of the food-derived mutagen 2-amino-3-methylimidazo[4,5-ƒ]quinoline by human-liver microsomes. Mutation Research/Genetic Toxicology. 204(2). 185–193. 9 indexed citations
18.
Seshadri, R., et al.. (1987). Mutation rate of normal and malignant human lymphocytes.. PubMed. 47(2). 407–9. 88 indexed citations
19.
Morley, Alec, et al.. (1976). A Controlled Trial of Androgen Therapy in Experimental Chronic Hypoplastic Marrow Failure. British Journal of Haematology. 32(4). 533–536. 9 indexed citations
20.
Trainor, Kevin J.. (1971). An Easily Prepared Wide Range Buffer Series.. Australian science teachers journal. 1 indexed citations

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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