Daniel Defays

843 citations
8 papers · 537 · 1 hit paper · h-index 5

Impact in

Papers in

Daniel Defays

6 papers receiving 505 citations

Daniel Defays's Hit Papers

An efficient algorithm for a complete link method 1977 · 464 citations
4640+16+32Years since publication100200300400

Peers

Daniel Defays
Comparison fields: 5 of 140
  • Signal Processing 95
  • Artificial Intelligence 225
  • Computer Vision and Pattern Recognition 116
  • Computational Mathematics 3
  • Statistical and Nonlinear Physics 47
Replace Rick Walker with:
Rick Walker United Kingdom
Jacob Kogan United States
Dong Hyun Jeong United States
Isabelle Guyon France
Shlomo Geva Australia
Graham Wills United States
Mikio L. Braun Germany
Zhen Wen United States
Masashi Shimbo Japan
Michael Brückner Thailand
Daniel Defays relative to Rick Walker United Kingdom Rick Walker's profile →
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Countries citing papers authored by Daniel Defays

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Defays Line = papers co-authored together Daniel Defays links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
An efficient algorithm for a complete link method
Hit paper breakdown →
1977464
2 197835
3 197824
4
Numbo: a study in cognition and recognition
19956
5 19795
6
Protecting micro-data by micro-aggregation: the experience in Eurostat
19973
7
Appariement de matrices de dissimilarités
20180
8 20230

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 537 indexed citations. Recurring topics across this work include Facility Location and Emergency Management (1 paper), Data Management and Algorithms (1 paper), Robotic Mechanisms and Dynamics (1 paper), Neuroscience and Music Perception (1 paper), Taxation and Legal Issues (1 paper), Phonetics and Phonology Research (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Language Development and Disorders (1 paper). The work is most often cited by research in Signal Processing (95 citations), Artificial Intelligence (225 citations), Computer Vision and Pattern Recognition (116 citations), Computational Mathematics (3 citations) and Statistical and Nonlinear Physics (47 citations). Daniel Defays has collaborated with scholars based in Belgium, Canada and France. Frequent co-authors include Jacques Rondal, Robert M. French and Barbara Tillmann. Their work appears in journals such as The Computer Journal, Cognitive Science, Journal of Mathematical Psychology, British Journal of Mathematical and Statistical 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.

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