Edwin Diday
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Applications
- Advanced Statistical Methods and Models
- Fuzzy Systems and Optimization
- Artificial Intelligence top 0.5%
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
Papers in
-
- Statistical Methods and Applications 56
- Advanced Statistical Methods and Models 5
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- Advanced Clustering Algorithms Research 55
- Bayesian Methods and Mixture Models 9
- Bayesian Modeling and Causal Inference 9
- Co-authors
- Lynne Billard (15 shared papers)Hans Hermann Bock (1 shared paper)Hans‐Hermann Bock (3 shared papers)K. Chidananda Gowda (4 shared papers)Yves Lechevallier B (5 shared papers)Ahlame Douzal-Chouakria (5 shared papers)Patrice Bertrand (3 shared papers)Martin Schader (1 shared paper)
- Journals
- Pattern Recognition Letters (5 papers)Discrete Applied Mathematics (3 papers)Statistical Analysis and Data Mining The ASA Data Science Journal (2 papers)Pattern Recognition (2 papers)Journal of the American Statistical Association (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Edwin Diday
131 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 138
- Statistics and Probability 1.3k
- Artificial Intelligence 1.9k
- Information Systems 670
- Computational Theory and Mathematics 409
- Signal Processing 152
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 139 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 | 409 |
| 2 | 2000 | 352 | |
| 3 | 2003 | 251 | |
| 4 | 1991 | 232 | |
| 5 | 2006 | 201 | |
| 6 | 1994 | 195 | |
| 7 | 2000 | 185 | |
| 8 | 1976 | 164 | |
| 9 | 1992 | 158 | |
| 10 | 2002 | 142 | |
| 11 | Une nouvelle méthode en classification automatique et reconnaissance des formes la méthode des nuées dynamiques | 1971 | 115 |
| 12 | Extension de l'analyse en composantes principales à des données de type intervalle | 1997 | 103 |
| 13 | 1981 | 96 | |
| 14 | 1984 | 75 | |
| 15 | Symbolic Data Analysis: Conceptual Statistics and Data Mining (Wiley Series in Computational Statistics) | 2007 | 74 |
| 16 | 1999 | 72 | |
| 17 | Orders and overlapping clusters by pyramids | 1987 | 59 |
| 18 | 2011 | 55 | |
| 19 | 2003 | 52 | |
| 20 | 2009 | 50 |
About Edwin Diday
Edwin Diday is a scholar working on Statistics and Probability, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Civil and Structural Engineering, having authored 139 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods and Applications (56 papers), Advanced Clustering Algorithms Research (55 papers), Data Mining Algorithms and Applications (43 papers), Data Mining and Machine Learning Applications (30 papers), Rough Sets and Fuzzy Logic (11 papers), Bayesian Methods and Mixture Models (9 papers), Bayesian Modeling and Causal Inference (9 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Artificial Intelligence (1.9k citations), Information Systems (670 citations), Computational Theory and Mathematics (409 citations) and Signal Processing (152 citations). Edwin Diday has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Lynne Billard, Hans Hermann Bock, Hans‐Hermann Bock, K. Chidananda Gowda, Yves Lechevallier B, Ahlame Douzal-Chouakria, Patrice Bertrand, Martin Schader, Robert R. Sokal and Richard Emilion. Their work appears in journals such as Pattern Recognition Letters, Discrete Applied Mathematics, Statistical Analysis and Data Mining The ASA Data Science Journal, Pattern Recognition and Journal of the American Statistical Association.
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.