Kellie B. Keeling
- Industrial and Manufacturing Engineering top 5%
- Sociology and Political Science
- Information Systems and Management top 10%
- Artificial Intelligence
- Information Systems
- Co-authors
- Robert PavurTabitha JamesEvelyn C. BrownXiaoni ZhangAndrew UrbaczewskiChristopher W. ZobelAlan H. KvanliVictor R. Prybutok
- Topics
- Statistics Education and Methodologies (5 papers)Media Influence and Politics (2 papers)Advanced Manufacturing and Logistics Optimization (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringInformation Systems and ManagementStatistics and Probability
- Journals
- Communications of the ACMExpert Systems with ApplicationsJournal of the Association for Information Systems
- Partner nations
- United States
In The Last Decade
Kellie B. Keeling
18 papers receiving 376 citations
Peers
Comparison fields: 5 of 95
- Industrial and Manufacturing Engineering 133
- Sociology and Political Science 62
- Information Systems and Management 55
- Artificial Intelligence 53
- Information Systems 37
Countries citing papers authored by Kellie B. Keeling
This map shows the geographic impact of Kellie B. Keeling'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 Kellie B. Keeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kellie B. Keeling more than expected).
Fields of papers citing papers by Kellie B. Keeling
This network shows the impact of papers produced by Kellie B. Keeling. 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 Kellie B. Keeling. The network helps show where Kellie B. Keeling may publish in the future.
Co-authorship network of co-authors of Kellie B. Keeling
This figure shows the co-authorship network connecting the top 25 collaborators of Kellie B. Keeling. A scholar is included among the top collaborators of Kellie B. Keeling 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 Kellie B. Keeling. Kellie B. Keeling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Invited Paper: The Transition from MIS Departments to Analytics Departments. | 2 |
| 3 | 21 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 0 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 46 | |
| 14 | Concise Managerial Statistics | 19 |
| 15 | 122 | |
| 16 | 4 | |
| 17 | 59 | |
| 18 | 42 | |
| 19 | 20 |
About Kellie B. Keeling
Kellie B. Keeling is a scholar working on Software, Statistics and Probability and Marketing, having authored 19 papers that have together received 415 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (5 papers), Media Influence and Politics (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (133 citations), Information Systems and Management (55 citations) and Statistics and Probability (35 citations). Kellie B. Keeling has collaborated with scholars based in United States. Frequent co-authors include Robert Pavur, Tabitha James, Evelyn C. Brown, Xiaoni Zhang, Andrew Urbaczewski, Christopher W. Zobel, Alan H. Kvanli, Victor R. Prybutok, Leon A. Kappelman and Deborah F. Cook. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications and Journal of the Association for Information Systems.
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.