Dave Corne
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in ⓘ
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- Intelligent Tutoring Systems and Adaptive Learning 1
- AI-based Problem Solving and Planning 1
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- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Peter Ross (1 shared paper)Hsiao-Lan Fang (1 shared paper)Fred Glover (1 shared paper)Marco Dorigo (1 shared paper)Douglas B. Kell (1 shared paper)Leighton Pritchard (1 shared paper)Jem J. Rowland (1 shared paper)Andrew C.R. Martin (1 shared paper)
- Journals
- Physics in Medicine and Biology (1 paper)Journal of Theoretical Biology (1 paper)Applied Intelligence (1 paper)Computers & Chemistry (1 paper)Proceedings (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Dave Corne
9 papers receiving 286 citations
Peers
Comparison fields: 5 of 80
- Industrial and Manufacturing Engineering 144
- Artificial Intelligence 128
- Management Science and Operations Research 47
- Computational Theory and Mathematics 35
- Computer Networks and Communications 49
Countries citing papers authored by Dave Corne
This map shows the geographic impact of Dave Corne'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 Dave Corne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Corne more than expected).
Fields of papers citing papers by Dave Corne
This network shows the impact of papers produced by Dave Corne. 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 Dave Corne. The network helps show where Dave Corne may publish in the future.
Co-authors
The 14 scholars most cited alongside Dave Corne, 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 | A Promising Genetic Algorithm Approach to Job-Shop SchedulingRe-Schedulingand Open-Shop Scheduling Problems | 1993 | 165 |
| 2 | New Ideas in Optimisation | 1999 | 70 |
| 3 | 2005 | 36 | |
| 4 | Solving the modular exam scheduling problem with genetic algorithms | 1993 | 32 |
| 5 | 2001 | 8 | |
| 6 | Solving design problems by computational exploration | 1994 | 7 |
| 7 | 2002 | 3 | |
| 8 | 2002 | 2 | |
| 9 | 2013 | 2 |
About Dave Corne
Dave Corne is a scholar working on Artificial Intelligence, Molecular Biology, Industrial and Manufacturing Engineering, Control and Systems Engineering and Information Systems, having authored 9 papers that have together received 325 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (1 paper), Design Education and Practice (1 paper), Advanced Radiotherapy Techniques (1 paper), Breast Cancer Treatment Studies (1 paper), Time Series Analysis and Forecasting (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), AI-based Problem Solving and Planning (1 paper) and Elevator Systems and Control (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (144 citations), Artificial Intelligence (128 citations), Management Science and Operations Research (47 citations), Computational Theory and Mathematics (35 citations) and Computer Networks and Communications (49 citations). Dave Corne has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter Ross, Hsiao-Lan Fang, Fred Glover, Marco Dorigo, Douglas B. Kell, Leighton Pritchard, Jem J. Rowland, Andrew C.R. Martin, Tim Smithers and S Webb. Their work appears in journals such as Physics in Medicine and Biology, Journal of Theoretical Biology, Applied Intelligence, Computers & Chemistry and Proceedings.
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.