Kevin E. Voges

1.5k total citations
33 papers, 964 citations indexed

About

Kevin E. Voges is a scholar working on Marketing, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Kevin E. Voges has authored 33 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Marketing, 10 papers in Sociology and Political Science and 4 papers in Clinical Psychology. Recurrent topics in Kevin E. Voges's work include Consumer Behavior in Brand Consumption and Identification (9 papers), Data Mining Algorithms and Applications (3 papers) and Technology Adoption and User Behaviour (3 papers). Kevin E. Voges is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (9 papers), Data Mining Algorithms and Applications (3 papers) and Technology Adoption and User Behaviour (3 papers). Kevin E. Voges collaborates with scholars based in New Zealand, Australia and United States. Kevin E. Voges's co-authors include Nigel Kenneth Pope, Mark Brown, Nigel Long, Christoph Bartneck, Henry Assael, Linda Brennan, Robert T. Hamilton, Huibert P. de Vries, Mark Brown and Herbert C. Biggs and has published in prestigious journals such as Criminology, European Journal of Marketing and Journal of Advertising.

In The Last Decade

Kevin E. Voges

30 papers receiving 824 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin E. Voges New Zealand 13 572 490 223 196 125 33 964
Angela R. Dobele Australia 15 409 0.7× 635 1.3× 149 0.7× 175 0.9× 81 0.6× 39 1.1k
Aron M. Levin United States 17 819 1.4× 489 1.0× 139 0.6× 192 1.0× 150 1.2× 26 1.2k
Rod McColl France 12 510 0.9× 427 0.9× 108 0.5× 184 0.9× 42 0.3× 21 920
Sang-Hoon Kim South Korea 14 270 0.5× 380 0.8× 375 1.7× 173 0.9× 58 0.5× 81 974
Sheau Fen Yap New Zealand 16 649 1.1× 547 1.1× 166 0.7× 290 1.5× 41 0.3× 41 1.2k
Subhadip Roy India 22 881 1.5× 754 1.5× 137 0.6× 290 1.5× 207 1.7× 71 1.2k
Rhonda W. Mack United States 11 397 0.7× 353 0.7× 157 0.7× 212 1.1× 34 0.3× 19 768
Ah Keng Kau Singapore 11 635 1.1× 578 1.2× 152 0.7× 179 0.9× 36 0.3× 18 1.0k
Bassam Hasan United States 10 252 0.4× 470 1.0× 536 2.4× 150 0.8× 128 1.0× 21 966
Daniel Wentzel Germany 18 646 1.1× 696 1.4× 230 1.0× 203 1.0× 92 0.7× 58 1.4k

Countries citing papers authored by Kevin E. Voges

Since Specialization
Citations

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

Fields of papers citing papers by Kevin E. Voges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin E. Voges

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin E. Voges. A scholar is included among the top collaborators of Kevin E. Voges 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 E. Voges. Kevin E. Voges 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.
Vries, Huibert P. de, Robert T. Hamilton, & Kevin E. Voges. (2015). Antecedents of Ethnic Minority Entrepreneurship in New Zealand: An Intergroup Comparison. Journal of Small Business Management. 53. 95–114. 16 indexed citations
2.
Bartneck, Christoph, et al.. (2013). Over-Competitiveness in Academia: A Literature Review. University of Canterbury Research Repository (University of Canterbury). 1(4). 183–190. 49 indexed citations
3.
Voges, Kevin E. & Nigel Kenneth Pope. (2012). Rough Clustering Using an Evolutionary Algorithm. Griffith Research Online (Griffith University, Queensland, Australia). 1. 1138–1145. 6 indexed citations
5.
Tagawa, Shoh, Teruaki Ito, Rajiv Mehta, et al.. (2012). Organizational structure of Mazda’s Keiretsu: a graph theoretic analysis. Artificial Life and Robotics. 16(4). 455–459. 1 indexed citations
6.
Voges, Kevin E., et al.. (2011). SPORT SPONSORSHIP: APPEAL AND RISKS. Griffith Research Online (Griffith University, Queensland, Australia). 1(8). 133–145. 2 indexed citations
7.
Voges, Kevin E., et al.. (2011). Enabling Factors Influencing Internet Adoption by New Zealand Small and Medium Size Retail Enterprises. 12 indexed citations
8.
Pope, Nigel Kenneth, Kevin E. Voges, & Mark Brown. (2009). Winning Ways. Journal of Advertising. 38(2). 5–20. 51 indexed citations
9.
Voges, Kevin E., et al.. (2008). Eco-Pickled Surface: An Environmentally Advantageous Alternative to Conventional Acid Pickling. 5(8). 81–96. 3 indexed citations
10.
Voges, Kevin E.. (2007). Rough Clustering of Destination Image Data Using an Evolutionary Algorithm. Journal of Travel & Tourism Marketing. 21(4). 121–137. 7 indexed citations
11.
Pope, Nigel Kenneth, et al.. (2007). Exploring Product Placement in Video Games: An Investigation of Recall Effects. QUT ePrints (Queensland University of Technology). 2 indexed citations
12.
Pope, Nigel Kenneth, et al.. (2007). Pornography and Erotica: Definitions and Prevalence. QUT ePrints (Queensland University of Technology). 4 indexed citations
13.
Voges, Kevin E. & Nigel Kenneth Pope. (2006). Business Applications and Computational Intelligence. IGI Global eBooks. 15 indexed citations
14.
Shook, Christopher L., Gregory F. Payne, & Kevin E. Voges. (2005). The ‘What’ in Top Management Group Conflict: The Effects of Issue Labels and Interpretations.. Journal of managerial issues. 162–177. 2 indexed citations
15.
Pope, Nigel Kenneth, Kevin E. Voges, & Mark Brown. (2004). THE EFFECT OF PROVOCATION IN THE FORM OF MILD EROTICA ON ATTITUDE TO THE AD AND CORPORATE IMAGE : Differences Between Cause-Related and Product-Based Advertising. Journal of Advertising. 33(1). 69–82. 104 indexed citations
16.
Brown, Mark, Nigel Kenneth Pope, & Kevin E. Voges. (2003). An examination of the effect of sponsorship stimuli on consumer perceptions of concrete and abstract brand attributes. Griffith Research Online (Griffith University, Queensland, Australia). 266(2 Pt 2). 229–236. 3 indexed citations
17.
Pope, Nigel Kenneth & Kevin E. Voges. (2000). The impact of sport sponsorship activities, Corporate image and prior use on a consumer purchase Intent. Sport Marketing Quarterly. 9. 96–102. 105 indexed citations
18.
Pope, Nigel Kenneth & Kevin E. Voges. (1999). Sponsorship and image: a replication and extension. Journal of Marketing Communications. 5(1). 17–28. 44 indexed citations
19.
Biggs, Herbert C., Ross Flett, Kevin E. Voges, & Fiona Alpass. (1995). Job Satisfaction and Distress in Rehabilitation Professionals: The Role of Organizational Commitment and Conflict. Journal of Applied Rehabilitation Counseling. 26(1). 41–46.
20.
Pope, Nigel Kenneth & Kevin E. Voges. (1994). Sponsorship Evaluation: Does it Match the Motive and the Mechanism?. Sport Marketing Quarterly. 3(4). 37–45. 4 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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