Daniel Defays

860 citations
9 papers · 622 · h-index 5

Impact in

Papers in

Daniel Defays

7 papers receiving 581 citations

Peers

Daniel Defays
Comparison fields: 5 of 73
  • Artificial Intelligence 183
  • Computer Vision and Pattern Recognition 43
  • Developmental and Educational Psychology 21
  • Statistics and Probability 13
  • Statistical and Nonlinear Physics 9
Replace Jean R. S. Blair with:
Jean R. S. Blair United States
LinChih-Jen
Renato Ferreira Brazil
Michael Jünger Germany
Yuri G. Rabinovich Israel
Liva Ralaivola France
Anastasios Kyrillidis United States
E. V. Krishnamurthy Australia
Xinze Lian China
Haw‐ren Fang United States
Daniel Defays relative to Jean R. S. Blair United States Jean R. S. Blair's profile →
Citations per field
00.5×2×3×3.6×
Jean R. S. Blair · 1×
Citations per year

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 2 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

9 of 9 papers shown
#Work
1 1977542
2 197840
3 197823
4
Numbo: a study in cognition and recognition
19957
5 19796
6
Protecting micro-data by micro-aggregation: the experience in Eurostat
19973
7 20231
8 19900
9
Appariement de matrices de dissimilarités
20180

About Daniel Defays

Daniel Defays is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Cognitive Neuroscience, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 622 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (2 papers), Privacy-Preserving Technologies in Data (1 paper), Neuroscience and Music Perception (1 paper) and Language Development and Disorders (1 paper). The work is most often cited by research in Artificial Intelligence (183 citations), Computer Vision and Pattern Recognition (43 citations), Developmental and Educational Psychology (21 citations), Statistics and Probability (13 citations) and Statistical and Nonlinear Physics (9 citations). Daniel Defays has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Robert M. French and Barbara Tillmann. Their work appears in journals such as Cognitive Science, British Journal of Mathematical and Statistical Psychology, 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.

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