E. McCormick
Impact in
- Artificial Intelligence top 5%
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
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- Advanced Control Systems Optimization
- Advanced Control Systems Design
Papers in
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- Neural Networks and Applications 3
- Fuzzy Logic and Control Systems 3
- Evolutionary Algorithms and Applications 1
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- Advanced Control Systems Optimization 1
- Co-authors
- Abdollah Homaifar (3 shared papers)Chris Baber (1 shared paper)Ian A. Apperly (1 shared paper)
- Journals
- Ergonomics (1 paper)IEEE Transactions on Fuzzy Systems (1 paper)Applied Mathematical Modelling (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Defense Technical Information Center (DTIC) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
E. McCormick
4 papers receiving 504 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 395
- Control and Systems Engineering 204
- Statistics and Probability 52
- Computer Vision and Pattern Recognition 54
- Management Science and Operations Research 31
Countries citing papers authored by E. McCormick
This map shows the geographic impact of E. McCormick'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. McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. McCormick more than expected).
Fields of papers citing papers by E. McCormick
This network shows the impact of papers produced by E. McCormick. 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. McCormick. The network helps show where E. McCormick may publish in the future.
Co-authors
The 3 scholars most cited alongside E. McCormick, 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 | 1995 | 480 | |
| 2 | 1994 | 34 | |
| 3 | 1992 | 18 | |
| 4 | 2024 | 1 | |
| 5 | Validation of Visual Threat Recognition and Avoidance Training Through Analogical Transfer | 2004 | 0 |
| 6 | 2005 | 0 |
About E. McCormick
E. McCormick is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Safety Research and Aerospace Engineering, having authored 6 papers that have together received 533 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Fuzzy Logic and Control Systems (3 papers), Turbomachinery Performance and Optimization (1 paper), Evolutionary Algorithms and Applications (1 paper), Advanced Control Systems Optimization (1 paper), Ethics and Social Impacts of AI (1 paper), Advanced Aircraft Design and Technologies (1 paper) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (395 citations), Control and Systems Engineering (204 citations), Statistics and Probability (52 citations), Computer Vision and Pattern Recognition (54 citations) and Management Science and Operations Research (31 citations). E. McCormick has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Abdollah Homaifar, Chris Baber and Ian A. Apperly. Their work appears in journals such as Ergonomics, IEEE Transactions on Fuzzy Systems, Applied Mathematical Modelling, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Defense Technical Information Center (DTIC).
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.