D. R. McGregor
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Dipankar DasguptaMichael OdetayoJ. C. SpeakmanIain MacLeodW. Paul CockshottM. S. LehmannJohn N. WilsonPete Wyckoff
- Topics
- Neural Networks and Applications (6 papers)Algorithms and Data Compression (5 papers)Advanced Database Systems and Queries (4 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Networks and Communications
- Partner nations
- United KingdomUnited States
In The Last Decade
D. R. McGregor
26 papers receiving 288 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 223
- Computational Theory and Mathematics 65
- Computer Networks and Communications 57
- Control and Systems Engineering 31
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by D. R. McGregor
This map shows the geographic impact of D. R. McGregor'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 D. R. McGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. R. McGregor more than expected).
Fields of papers citing papers by D. R. McGregor
This network shows the impact of papers produced by D. R. McGregor. 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 D. R. McGregor. The network helps show where D. R. McGregor may publish in the future.
Co-authorship network of co-authors of D. R. McGregor
This figure shows the co-authorship network connecting the top 25 collaborators of D. R. McGregor. A scholar is included among the top collaborators of D. R. McGregor 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 D. R. McGregor. D. R. McGregor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 26 | |
| 6 | 12 | |
| 7 | An Intelligent Interface for Construction Information | 1 |
| 8 | Nonstationary Function Optimization using the Structured Genetic Algorithm. | 81 |
| 9 | Engineering optimizations using the structured genetic algorithm | 10 |
| 10 | 10 | |
| 11 | Genetic Algorithm for Inducing Control Rules for a Dynamic System | 27 |
| 12 | Induction through Knowledge Base Normalisation. | 3 |
| 13 | 36 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | High Performance Hardware for Database Systems | 14 |
| 19 | 1 | |
| 20 | 9 |
About D. R. McGregor
D. R. McGregor is a scholar working on Hardware and Architecture, Artificial Intelligence and Software, having authored 27 papers that have together received 338 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Algorithms and Data Compression (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Artificial Intelligence (223 citations), Computational Theory and Mathematics (65 citations) and Computer Networks and Communications (57 citations). D. R. McGregor has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Dipankar Dasgupta, Dipankar Dasgupta, Michael Odetayo, J. C. Speakman, Iain MacLeod, W. Paul Cockshott, M. S. Lehmann, John N. Wilson, Pete Wyckoff and Edward Grant. Their work appears in journals such as Design Studies, The Computer Journal and Software Practice and Experience.
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.