Daniel Defays
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
Papers in
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- Data Management and Algorithms 1
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- Robotic Mechanisms and Dynamics 1
- Co-authors
- Jacques Rondal (1 shared paper)Robert M. French (1 shared paper)Barbara Tillmann (1 shared paper)
- Journals
- British Journal of Mathematical and Statistical Psychology (1 paper)Cognitive Science (1 paper)The Computer Journal (1 paper)Journal of Mathematical Psychology (1 paper)The Journal of Genetic Psychology (1 paper)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Daniel Defays
6 papers receiving 511 citations
Daniel Defays's Hit Papers
Peers
Comparison fields: 5 of 139
- Signal Processing 97
- Artificial Intelligence 227
- Computer Vision and Pattern Recognition 118
- Computational Mathematics 3
- Statistical and Nonlinear Physics 47
Countries citing papers authored by Daniel Defays
This map shows the geographic impact of Daniel Defays'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 Daniel Defays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Defays more than expected).
Fields of papers citing papers by Daniel Defays
This network shows the impact of papers produced by Daniel Defays. 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 Daniel Defays. The network helps show where Daniel Defays may publish in the future.
Co-authors
The 3 scholars most cited alongside Daniel Defays, 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 | An efficient algorithm for a complete link method Hit paper breakdown → | 1977 | 469 |
| 2 | 1978 | 36 | |
| 3 | 1978 | 24 | |
| 4 | Numbo: a study in cognition and recognition | 1995 | 6 |
| 5 | 1979 | 5 | |
| 6 | Protecting micro-data by micro-aggregation: the experience in Eurostat | 1997 | 3 |
| 7 | Appariement de matrices de dissimilarités | 2018 | 0 |
| 8 | 2023 | 0 |
About Daniel Defays
Daniel Defays is a scholar working on Signal Processing, Control and Systems Engineering, Cognitive Neuroscience, Artificial Intelligence and Computational Theory and Mathematics, having authored 8 papers that have together received 543 indexed citations. Recurring topics across this work include Language Development and Disorders (1 paper), Data Management and Algorithms (1 paper), Robotic Mechanisms and Dynamics (1 paper), Taxation and Legal Issues (1 paper), Facility Location and Emergency Management (1 paper), Bayesian Modeling and Causal Inference (1 paper), Matrix Theory and Algorithms (1 paper) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Signal Processing (97 citations), Artificial Intelligence (227 citations), Computer Vision and Pattern Recognition (118 citations), Computational Mathematics (3 citations) and Statistical and Nonlinear Physics (47 citations). Daniel Defays has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Jacques Rondal, Robert M. French and Barbara Tillmann. Their work appears in journals such as British Journal of Mathematical and Statistical Psychology, Cognitive Science, The Computer Journal, Journal of Mathematical Psychology and The Journal of Genetic Psychology.
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.