Daniel Defays

843 total citations · 1 hit paper
8 papers, 537 citations indexed

About

Daniel Defays is a scholar working on Signal Processing, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Daniel Defays has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 1 paper in Control and Systems Engineering and 1 paper in Cognitive Neuroscience. Recurrent topics in Daniel Defays's work include Computational Geometry and Mesh Generation (1 paper), Facility Location and Emergency Management (1 paper) and Economic and Fiscal Studies (1 paper). Daniel Defays is often cited by papers focused on Computational Geometry and Mesh Generation (1 paper), Facility Location and Emergency Management (1 paper) and Economic and Fiscal Studies (1 paper). Daniel Defays collaborates with scholars based in Belgium, Canada and France. Daniel Defays's co-authors include Jacques Rondal, Robert M. French and Barbara Tillmann and has published in prestigious journals such as Cognitive Science, Journal of Mathematical Psychology and The Computer Journal.

In The Last Decade

Daniel Defays

6 papers receiving 505 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An efficient algorithm for a complete link method

1977 464 citations Daniel Defays The Computer Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Defays Belgium	5	225	116	95	70	67	8	537
Jacob Kogan United States	8	251 1.1×	69 0.6×	52 0.5×	26 0.4×	106 1.6×	22	500
Lawrence Shih United States	5	490 2.2×	79 0.7×	55 0.6×	69 1.0×	269 4.0×	7	723
Jan Martinovič Czechia	11	109 0.5×	44 0.4×	30 0.3×	45 0.6×	62 0.9×	92	421
Michael Brückner Thailand	9	549 2.4×	119 1.0×	127 1.3×	65 0.9×	128 1.9×	24	843
Satoshi Oyama Japan	14	435 1.9×	117 1.0×	55 0.6×	33 0.5×	211 3.1×	83	736
Miguel Nicolau Ireland	13	484 2.2×	67 0.6×	48 0.5×	89 1.3×	20 0.3×	50	561
L.K. Saul United States	11	500 2.2×	287 2.5×	240 2.5×	52 0.7×	30 0.4×	16	902
Mikio L. Braun Germany	9	314 1.4×	130 1.1×	95 1.0×	86 1.2×	33 0.5×	16	597
Shlomo Geva Australia	16	661 2.9×	212 1.8×	129 1.4×	75 1.1×	336 5.0×	155	1.1k
Francisco J. Valverde-Albacete Spain	10	188 0.8×	64 0.6×	72 0.8×	62 0.9×	67 1.0×	38	391

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-authorship network of co-authors of Daniel Defays

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Defays. A scholar is included among the top collaborators of Daniel Defays based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Defays. Daniel Defays is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Defays, Daniel, Robert M. French, & Barbara Tillmann. (2023). A Recurrent Connectionist Model of Melody Perception: An Exploration Using TRACX2. Cognitive Science. 47(4). e13283–e13283.

2.

Defays, Daniel. (2018). Appariement de matrices de dissimilarités. 45. 115–128.

3.

Defays, Daniel. (1997). Protecting micro-data by micro-aggregation: the experience in Eurostat. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 21(1). 221–231. 3 indexed citations

4.

Defays, Daniel. (1995). Numbo: a study in cognition and recognition. 131–154. 6 indexed citations

5.

Defays, Daniel. (1979). Tree representations of ternary relations. Journal of Mathematical Psychology. 19(2). 208–218. 5 indexed citations

6.

Rondal, Jacques & Daniel Defays. (1978). Reliability of Mean Length of Utterance as a Function of Sample Size in Early Language Development. The Journal of Genetic Psychology. 133(2). 305–306. 24 indexed citations

7.

Defays, Daniel. (1978). A short note on a method of seriation. British Journal of Mathematical and Statistical Psychology. 31(1). 49–53. 35 indexed citations

8.

Defays, Daniel. (1977). An efficient algorithm for a complete link method. The Computer Journal. 20(4). 364–366. 464 indexed citations breakdown →

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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