Bernhard Flury
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Artificial Intelligence top 0.2%
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
Papers in
-
- Advanced Statistical Methods and Models 9
- Statistical Methods and Inference 2
- Statistical Methods and Bayesian Inference 1
- Statistical Methods and Applications 1
-
- Spectroscopy and Chemometric Analyses 5
- Co-authors
- Hans RiedwylRobert J. BoikAndré HeckFionn MurtaghDouglas M. HawkinsWalter GautschiH. SpäthJosef Schmee
- Journals
- Journal of the American Statistical Association (8 papers)Journal of Statistical Planning and Inference (3 papers)Mathematics of Computation (2 papers)Technometrics (2 papers)The American Statistician (2 papers)
- Partner nations
- SwitzerlandUnited StatesMoldova
In The Last Decade
Bernhard Flury
23 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Signal Processing 1.0k
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 1.5k
- Statistics and Probability 512
- Computational Mathematics 29
Countries citing papers authored by Bernhard Flury
This map shows the geographic impact of Bernhard Flury'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 Bernhard Flury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Flury more than expected).
Fields of papers citing papers by Bernhard Flury
This network shows the impact of papers produced by Bernhard Flury. 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 Bernhard Flury. The network helps show where Bernhard Flury may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Bernhard Flury, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 305 | |
| 2 | 1990 | 16 | |
| 3 | 1990 | 3 | |
| 4 | 1990 | 383 | |
| 5 | Algorithms for clustering data Hit paper breakdown → | 1989 | 4660 |
| 6 | 1989 | 37 | |
| 7 | Multivariate Data Analysis. Hit paper breakdown → | 1988 | 544 |
| 8 | 1988 | 170 | |
| 9 | 1986 | 63 | |
| 10 | 1985 | 9 | |
| 11 | 1985 | 2 | |
| 12 | 1985 | 8 | |
| 13 | 1985 | 16 | |
| 14 | 1985 | 2 | |
| 15 | 1984 | 204 | |
| 16 | 1984 | 21 | |
| 17 | 1983 | 14 | |
| 18 | 1981 | 58 | |
| 19 | 1981 | 12 | |
| 20 | 1980 | 3 |
About Bernhard Flury
Bernhard Flury is a scholar working on Statistics and Probability, Analytical Chemistry, Management Science and Operations Research, Nephrology and Genetics, having authored 24 papers that have together received 6.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Spectroscopy and Chemometric Analyses (5 papers), Optimal Experimental Design Methods (3 papers), Statistical Methods and Inference (2 papers), Statistical Methods and Bayesian Inference (1 paper), Matrix Theory and Algorithms (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Statistical Methods and Applications (1 paper). The work is most often cited by research in Signal Processing (1.0k citations), Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (1.5k citations), Statistics and Probability (512 citations) and Computational Mathematics (29 citations). Bernhard Flury has collaborated with scholars based in Switzerland, United States and Moldova. Frequent co-authors include Hans Riedwyl, Robert J. Boik, André Heck, Fionn Murtagh, Douglas M. Hawkins, Walter Gautschi, H. Späth, Josef Schmee, Christine Waternaux and K. C. S. Pillai. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Planning and Inference, Mathematics of Computation, Technometrics and The American Statistician.
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.