Derek Partridge
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- AI-based Problem Solving and Planning
- Machine Learning and Data Classification
- Software top 10%
Papers in
-
- Neural Networks and Applications 9
- Machine Learning and Data Classification 6
- AI-based Problem Solving and Planning 5
- Bayesian Modeling and Causal Inference 5
-
- Computability, Logic, AI Algorithms 9
- Co-authors
- W. J. Krzanowski (7 shared papers)Andrew Ortony (1 shared paper)Yorick Wilks (4 shared papers)Trevor Bailey (6 shared papers)Richard Everson (6 shared papers)Vitaly Schetinin (6 shared papers)Jonathan E. Fieldsend (6 shared papers)Niall Griffith (3 shared papers)
- Journals
- Artificial Intelligence Review (6 papers)Neural Computing and Applications (3 papers)Minds and Machines (3 papers)Information and Software Technology (2 papers)Communications of the ACM (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Derek Partridge
68 papers receiving 692 citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 435
- Software 43
- Health Informatics 14
- Computational Theory and Mathematics 89
- Information Systems 118
Countries citing papers authored by Derek Partridge
This map shows the geographic impact of Derek Partridge'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 Derek Partridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Partridge more than expected).
Fields of papers citing papers by Derek Partridge
This network shows the impact of papers produced by Derek Partridge. 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 Derek Partridge. The network helps show where Derek Partridge may publish in the future.
Co-authors
The 25 scholars most cited alongside Derek Partridge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 86 | |
| 2 | Surprisingness and expectation failure: what's the difference? | 1987 | 48 |
| 3 | 1993 | 47 | |
| 4 | 2005 | 43 | |
| 5 | 2007 | 42 | |
| 6 | 1996 | 39 | |
| 7 | 1990 | 36 | |
| 8 | 1987 | 35 | |
| 9 | 1986 | 22 | |
| 10 | Computers and Creativity | 1995 | 22 |
| 11 | 2002 | 22 | |
| 12 | 2001 | 22 | |
| 13 | 2005 | 19 | |
| 14 | 2004 | 17 | |
| 15 | 2006 | 16 | |
| 16 | 1999 | 16 | |
| 17 | 2006 | 15 | |
| 18 | 1987 | 13 | |
| 19 | 1984 | 13 | |
| 20 | 1973 | 11 |
About Derek Partridge
Derek Partridge is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Software and Computer Networks and Communications, having authored 71 papers that have together received 799 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Computability, Logic, AI Algorithms (9 papers), Software Engineering Research (7 papers), Machine Learning and Data Classification (6 papers), Software Reliability and Analysis Research (6 papers), Philosophy and History of Science (5 papers), AI-based Problem Solving and Planning (5 papers) and Bayesian Modeling and Causal Inference (5 papers). The work is most often cited by research in Artificial Intelligence (435 citations), Software (43 citations), Health Informatics (14 citations), Computational Theory and Mathematics (89 citations) and Information Systems (118 citations). Derek Partridge has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include W. J. Krzanowski, Andrew Ortony, Yorick Wilks, Trevor Bailey, Richard Everson, Vitaly Schetinin, Jonathan E. Fieldsend, Niall Griffith, Shuang Cang and Victor S. Johnston. Their work appears in journals such as Artificial Intelligence Review, Neural Computing and Applications, Minds and Machines, Information and Software Technology and Communications of the ACM.
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.