Daniel Defays
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
Papers in
-
- Music and Audio Processing 1
- Data Management and Algorithms 1
- Co-authors
- Jacques Rondal (1 shared paper)Barbara Tillmann (1 shared paper)Robert M. French (1 shared paper)
- Journals
- The Computer Journal (1 paper)Journal of Mathematical Psychology (1 paper)British Journal of Mathematical and Statistical Psychology (1 paper)Cognitive Science (1 paper)The Journal of Genetic Psychology (1 paper)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Daniel Defays
7 papers receiving 578 citations
Daniel Defays's Hit Papers
Peers
Comparison fields: 5 of 142
- Signal Processing 128
- Artificial Intelligence 273
- Computer Vision and Pattern Recognition 126
- Computational Mathematics 3
- Statistical and Nonlinear Physics 51
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 | 536 |
| 2 | 1978 | 41 | |
| 3 | 1978 | 24 | |
| 4 | Numbo: a study in cognition and recognition | 1995 | 6 |
| 5 | 1979 | 6 | |
| 6 | Protecting micro-data by micro-aggregation: the experience in Eurostat | 1997 | 3 |
| 7 | 2023 | 1 | |
| 8 | Appariement de matrices de dissimilarités | 2018 | 0 |
| 9 | 1990 | 0 |
About Daniel Defays
Daniel Defays is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design, Organizational Behavior and Human Resource Management, Accounting and Developmental and Educational Psychology, having authored 9 papers that have together received 617 indexed citations. Recurring topics across this work include Music and Audio Processing (1 paper), Child and Animal Learning Development (1 paper), Robotic Mechanisms and Dynamics (1 paper), Facility Location and Emergency Management (1 paper), Bayesian Modeling and Causal Inference (1 paper), Matrix Theory and Algorithms (1 paper), Language Development and Disorders (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Signal Processing (128 citations), Artificial Intelligence (273 citations), Computer Vision and Pattern Recognition (126 citations), Computational Mathematics (3 citations) and Statistical and Nonlinear Physics (51 citations). Daniel Defays has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Jacques Rondal, Barbara Tillmann and Robert M. French. Their work appears in journals such as The Computer Journal, Journal of Mathematical Psychology, British Journal of Mathematical and Statistical Psychology, Cognitive Science 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.