Bernhard Flury

9.6k citations
24 papers · 6.8k · 2 hit papers · h-index 15

Impact in

Papers in

Bernhard Flury

23 papers receiving 6.4k citations

Bernhard Flury's Hit Papers

Algorithms for clustering data 1989 · 4.7k citations
4.7k0+12+25Years since publication10002.0k3.0k4.0k

Peers

Bernhard Flury
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
Replace M. Anthony Wong with:
M. Anthony Wong United States
Colin Goodall United States
Mark E. Shields United States
Robert C. Williamson Australia
Kevin P. Murphy Canada
J. C. Dunn United States
Michel Verleysen Belgium
Sheelagh Lloyd United States
David Mackay United Kingdom
Warren S. Sarle United States
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Citations per field
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Citations per year

Countries citing papers authored by Bernhard Flury

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Bernhard Flury Line = papers co-authored together Bernhard Flury links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Algorithms for clustering data
Hit paper breakdown →
19894660
2
Multivariate Data Analysis.
Hit paper breakdown →
1988544
3 1990383
4 1990305
5 1984204
6 1988170
7 1984129
8 1986114
9 198663
10 198158
11 198937
12 198421
13 199016
14 198516
15 198314
16 198112
17 19859
18 19858
19 19847
20 19803

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), Matrix Theory and Algorithms (1 paper), Renal Diseases and Glomerulopathies (1 paper), Face and Expression Recognition (1 paper) and Statistical Methods and Bayesian Inference (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.

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