Edwin Diday
Impact in
- Statistics and Probability top 0.5%
- Fuzzy Systems and Optimization
- Advanced Statistical Methods and Models
- Signal Processing top 1%
- Data Management and Algorithms
Papers in
-
- Advanced Clustering Algorithms Research 10
- Neural Networks and Applications 10
- Bayesian Methods and Mixture Models 6
-
- Rough Sets and Fuzzy Logic 16
- Co-authors
- Lynne Billard (8 shared papers)Hans Hermann Bock (1 shared paper)K. Chidananda Gowda (3 shared papers)Hans‐Hermann Bock (1 shared paper)Yves Lechevallier (3 shared papers)Bernard Burtschy (1 shared paper)Patrice Bertrand (1 shared paper)Robert R. Sokal (1 shared paper)
- Journals
- Pattern Recognition Letters (5 papers)Discrete Applied Mathematics (3 papers)Journal of the American Statistical Association (2 papers)Advances in Data Analysis and Classification (2 papers)Pattern Recognition (2 papers)
- Partner nations
- FranceUnited StatesCosta Rica
In The Last Decade
Edwin Diday
72 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 153
- Statistics and Probability 493
- Signal Processing 487
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 465
- Management Science and Operations Research 235
Countries citing papers authored by Edwin Diday
This map shows the geographic impact of Edwin Diday'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 Edwin Diday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin Diday more than expected).
Fields of papers citing papers by Edwin Diday
This network shows the impact of papers produced by Edwin Diday. 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 Edwin Diday. The network helps show where Edwin Diday may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin Diday, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data | 2000 | 312 |
| 2 | 2000 | 223 | |
| 3 | 2003 | 218 | |
| 4 | 1991 | 202 | |
| 5 | 2006 | 162 | |
| 6 | 1994 | 149 | |
| 7 | 1992 | 138 | |
| 8 | Extension de l'analyse en composantes principales à des données de type intervalle | 1997 | 90 |
| 9 | Une nouvelle méthode en classification automatique et reconnaissance des formes la méthode des nuées dynamiques | 1971 | 88 |
| 10 | Symbolic Data Analysis: Conceptual Statistics and Data Mining (Wiley Series in Computational Statistics) | 2007 | 62 |
| 11 | 1999 | 59 | |
| 12 | 1984 | 52 | |
| 13 | 2011 | 50 | |
| 14 | 2009 | 41 | |
| 15 | 2003 | 38 | |
| 16 | Orders and overlapping clusters by pyramids | 1987 | 36 |
| 17 | 1973 | 35 | |
| 18 | 2016 | 29 | |
| 19 | 2011 | 28 | |
| 20 | 1989 | 28 |
About Edwin Diday
Edwin Diday is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (16 papers), Advanced Clustering Algorithms Research (10 papers), Neural Networks and Applications (10 papers), Data Mining Algorithms and Applications (10 papers), Sensory Analysis and Statistical Methods (8 papers), Data Management and Algorithms (7 papers), Bayesian Methods and Mixture Models (6 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Statistics and Probability (493 citations), Signal Processing (487 citations), Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (465 citations) and Management Science and Operations Research (235 citations). Edwin Diday has collaborated with scholars based in France, United States and Costa Rica. Frequent co-authors include Lynne Billard, Hans Hermann Bock, K. Chidananda Gowda, Hans‐Hermann Bock, Yves Lechevallier, Bernard Burtschy, Patrice Bertrand, Robert R. Sokal, Mathieu Vrac and Richard Emilion. Their work appears in journals such as Pattern Recognition Letters, Discrete Applied Mathematics, Journal of the American Statistical Association, Advances in Data Analysis and Classification and Pattern Recognition.
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.