Kathleen E. McKone‐Sweet
- Management Information Systems top 2%
- Strategy and Management top 5%
- Safety, Risk, Reliability and Quality top 5%
- Statistics, Probability and Uncertainty top 5%
- Industrial and Manufacturing Engineering top 10%
- Topics
- Quality and Supply Management (6 papers)ERP Systems Implementation and Impact (2 papers)Technology Adoption and User Behaviour (1 paper)
- Journals
- European Journal of Operational ResearchJournal of Supply Chain ManagementOperations Management Research
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Kathleen E. McKone‐Sweet
7 papers receiving 415 citations
Peers
Comparison fields: 5 of 53
- Management Information Systems 297
- Strategy and Management 216
- Safety, Risk, Reliability and Quality 73
- Statistics, Probability and Uncertainty 71
- Industrial and Manufacturing Engineering 52
Countries citing papers authored by Kathleen E. McKone‐Sweet
This map shows the geographic impact of Kathleen E. McKone‐Sweet'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 Kathleen E. McKone‐Sweet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen E. McKone‐Sweet more than expected).
Fields of papers citing papers by Kathleen E. McKone‐Sweet
This network shows the impact of papers produced by Kathleen E. McKone‐Sweet. 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 Kathleen E. McKone‐Sweet. The network helps show where Kathleen E. McKone‐Sweet may publish in the future.
Co-authorship network of co-authors of Kathleen E. McKone‐Sweet
This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen E. McKone‐Sweet. A scholar is included among the top collaborators of Kathleen E. McKone‐Sweet 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 Kathleen E. McKone‐Sweet. Kathleen E. McKone‐Sweet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 71 | |
| 3 | 18 | |
| 4 | 55 | |
| 5 | 169 | |
| 6 | LESSONS FROM A COFFEE SUPPLY CHAIN | 9 |
| 7 | 110 |
About Kathleen E. McKone‐Sweet
Kathleen E. McKone‐Sweet is a scholar working on Management Information Systems, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 7 papers that have together received 437 indexed citations. Recurring topics across this work include Quality and Supply Management (6 papers), ERP Systems Implementation and Impact (2 papers) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Management Information Systems (297 citations), Medical Laboratory Technology (42 citations) and Strategy and Management (216 citations). Kathleen E. McKone‐Sweet has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Paul Hamilton, Kevin Linderman, John C. Anderson, Roger G. Schroeder, Gensheng Liu and Rachna Shah. Their work appears in journals such as European Journal of Operational Research, Journal of Supply Chain Management and Operations Management Research.
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.