E. Kay
Impact in
-
- Vehicle Routing Optimization Methods
- Optimization and Packing Problems
- Scheduling and Optimization Algorithms
-
- Advanced Graph Theory Research
Papers in
-
- Probability and Risk Models 1
-
- Reliability and Maintenance Optimization 2
- Co-authors
- R. E. Little (1 shared paper)Devendra Sahal (1 shared paper)Harold A. Linstone (1 shared paper)
- Journals
- Journal of the Operational Research Society (9 papers)International Journal of Production Research (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Operational Research Quarterly (1970-1977) (3 papers)
- Partner nations
- United Kingdom
In The Last Decade
E. Kay
13 papers receiving 614 citations
E. Kay's Hit Papers
Peers
Comparison fields: 5 of 122
- Industrial and Manufacturing Engineering 161
- Computational Theory and Mathematics 117
- Computer Graphics and Computer-Aided Design 22
- Computer Networks and Communications 143
- Organizational Behavior and Human Resource Management 62
Countries citing papers authored by E. Kay
This map shows the geographic impact of E. Kay'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 E. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Kay more than expected).
Fields of papers citing papers by E. Kay
This network shows the impact of papers produced by E. Kay. 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 E. Kay. The network helps show where E. Kay may publish in the future.
Co-authors
The 3 scholars most cited alongside E. Kay, 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 | Graph Theory: An Algorithmic Approach Hit paper breakdown → | 1976 | 593 |
| 2 | 1978 | 27 | |
| 3 | 1976 | 21 | |
| 4 | 1976 | 20 | |
| 5 | 1976 | 11 | |
| 6 | 1976 | 9 | |
| 7 | 1978 | 9 | |
| 8 | 1972 | 7 | |
| 9 | 1974 | 5 | |
| 10 | 1975 | 5 | |
| 11 | 1977 | 4 | |
| 12 | 1977 | 3 | |
| 13 | 1974 | 1 | |
| 14 | 1976 | 1 |
About E. Kay
E. Kay is a scholar working on Management Science and Operations Research, Safety, Risk, Reliability and Quality, Economics and Econometrics, Computer Vision and Pattern Recognition and General Economics, Econometrics and Finance, having authored 14 papers that have together received 716 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (2 papers), Advanced Multi-Objective Optimization Algorithms (1 paper), Statistical Distribution Estimation and Applications (1 paper), Regional Economic and Spatial Analysis (1 paper), AI-based Problem Solving and Planning (1 paper), Firm Innovation and Growth (1 paper), Probability and Risk Models (1 paper) and Economic and Technological Innovation (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (161 citations), Computational Theory and Mathematics (117 citations), Computer Graphics and Computer-Aided Design (22 citations), Computer Networks and Communications (143 citations) and Organizational Behavior and Human Resource Management (62 citations). E. Kay has collaborated with scholars based in United Kingdom. Frequent co-authors include R. E. Little, Devendra Sahal and Harold A. Linstone. Their work appears in journals such as Journal of the Operational Research Society, International Journal of Production Research, Journal of the Royal Statistical Society Series C (Applied Statistics) and Operational Research Quarterly (1970-1977).
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.