Vince Kellen
Impact in
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- Decision-Making and Behavioral Economics
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- Statistics Education and Methodologies
Papers in
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- Service-Oriented Architecture and Web Services 2
- Cloud Computing and Resource Management 1
- Web Applications and Data Management 1
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- Statistics Education and Methodologies 1
- Co-authors
- Susy S. Chan (3 shared papers)Xiaowen Fang (2 shared papers)Shava Smallen (1 shared paper)Katherine Yelick (1 shared paper)Edward D. Lazowska (1 shared paper)Rob Fatland (1 shared paper)Eric Van Dusen (1 shared paper)Amanda Tan (1 shared paper)
- Journals
- Journal of the Association for Information Systems (1 paper)Lecture notes in computer science (2 papers)Practice and Experience in Advanced Research Computing (1 paper)Medical Entomology and Zoology (1 paper)IGI Global eBooks (2 papers)
- Partner nations
- United States
In The Last Decade
Vince Kellen
7 papers receiving 56 citations
Peers
Comparison fields: 5 of 47
- General Decision Sciences 7
- Statistics and Probability 9
- Computer Vision and Pattern Recognition 17
- Instrumentation 2
- Computer Graphics and Computer-Aided Design 2
Countries citing papers authored by Vince Kellen
This map shows the geographic impact of Vince Kellen'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 Vince Kellen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vince Kellen more than expected).
Fields of papers citing papers by Vince Kellen
This network shows the impact of papers produced by Vince Kellen. 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 Vince Kellen. The network helps show where Vince Kellen may publish in the future.
Co-authors
The 9 scholars most cited alongside Vince Kellen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 26 | |
| 2 | 2007 | 12 | |
| 3 | 2013 | 9 | |
| 4 | 2002 | 5 | |
| 5 | Internet Commerce in the Information Systems Curriculum | 1999 | 5 |
| 6 | Delphi 2: A Developer's Guide | 1996 | 2 |
| 7 | 2003 | 1 | |
| 8 | 2011 | 0 |
About Vince Kellen
Vince Kellen is a scholar working on Information Systems, Statistics and Probability, Strategy and Management, Management Information Systems and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 60 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (2 papers), Statistics Education and Methodologies (1 paper), Business Process Modeling and Analysis (1 paper), Cloud Computing and Resource Management (1 paper), Data Visualization and Analytics (1 paper), Advanced Text Analysis Techniques (1 paper), Leadership and Management in Organizations (1 paper) and Web Applications and Data Management (1 paper). The work is most often cited by research in General Decision Sciences (7 citations), Statistics and Probability (9 citations), Computer Vision and Pattern Recognition (17 citations), Instrumentation (2 citations) and Computer Graphics and Computer-Aided Design (2 citations). Vince Kellen has collaborated with scholars based in United States. Frequent co-authors include Susy S. Chan, Xiaowen Fang, Shava Smallen, Katherine Yelick, Edward D. Lazowska, Rob Fatland, Eric Van Dusen, Amanda Tan and Linda Knight. Their work appears in journals such as Journal of the Association for Information Systems, Lecture notes in computer science, Practice and Experience in Advanced Research Computing, Medical Entomology and Zoology and IGI Global eBooks.
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.