Mike Kaye
Impact in
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- Quality and Supply Management
- Strategy and Management top 10%
- Quality and Management Systems
- Innovation and Knowledge Management
Papers in
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- Manufacturing Process and Optimization 5
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- Optimal Experimental Design Methods 3
- Journals
- Quality in Higher Education (1 paper)International Journal of Quality & Reliability Management (1 paper)Journal of Higher Education Policy and Management (1 paper)Expert Systems (1 paper)Higher education review (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Mike Kaye
13 papers receiving 322 citations
Peers
Comparison fields: 5 of 75
- Management Information Systems 117
- Strategy and Management 124
- Communication 55
- Organizational Behavior and Human Resource Management 71
- Management Science and Operations Research 73
Countries citing papers authored by Mike Kaye
This map shows the geographic impact of Mike Kaye'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 Mike Kaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Kaye more than expected).
Fields of papers citing papers by Mike Kaye
This network shows the impact of papers produced by Mike Kaye. 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 Mike Kaye. The network helps show where Mike Kaye may publish in the future.
Co-authors
The 2 scholars most cited alongside Mike Kaye, 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 | 1999 | 146 | |
| 2 | 1998 | 67 | |
| 3 | 1998 | 55 | |
| 4 | 1999 | 32 | |
| 5 | 1999 | 22 | |
| 6 | 1999 | 14 | |
| 7 | 2000 | 13 | |
| 8 | A methodology for taguchi design of experiments for continuous quality improvement | 1995 | 7 |
| 9 | Use Your Reason to Understand Statistics | 1997 | 5 |
| 10 | Measuring Comparative Value Added: A Modified Methodology. | 1995 | 3 |
| 11 | Optimisation of Core tube life Using Taguchi Experimental Design Methodology | 1996 | 3 |
| 12 | 1998 | 3 | |
| 13 | 1997 | 1 |
About Mike Kaye
Mike Kaye is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Organizational Behavior and Human Resource Management, Management Information Systems and Food Science, having authored 13 papers that have together received 371 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (5 papers), Optimal Experimental Design Methods (3 papers), Customer Service Quality and Loyalty (2 papers), Patient Satisfaction in Healthcare (1 paper), Management and Marketing Education (1 paper), Sensory Analysis and Statistical Methods (1 paper), International Student and Expatriate Challenges (1 paper) and Organizational Change and Leadership (1 paper). The work is most often cited by research in Management Information Systems (117 citations), Strategy and Management (124 citations), Communication (55 citations), Organizational Behavior and Human Resource Management (71 citations) and Management Science and Operations Research (73 citations). Mike Kaye has collaborated with scholars based in United Kingdom. Frequent co-authors include Jiju Antony and Michael Hughes. Their work appears in journals such as Quality in Higher Education, International Journal of Quality & Reliability Management, Journal of Higher Education Policy and Management, Expert Systems and Higher education review.
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.