Hans Ury

2.6k citations
48 papers · 1.8k · h-index 17

Impact in

Papers in

Hans Ury

44 papers receiving 1.6k citations

Peers

Hans Ury
Comparison fields: 5 of 164
  • Statistics and Probability 253
  • Statistics, Probability and Uncertainty 65
  • Finance 90
  • Oncology 208
  • Cancer Research 111
Replace Dipankar Bandyopadhyay with:
Dipankar Bandyopadhyay United States
Binbing Yu United States
Elizabeth H. Slate United States
Richard M. Nixon United Kingdom
David E. Matthews United States
Don McNeil Australia
J. R. Ashford United Kingdom
Yulei He United States
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Citations per field
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Citations per year

Countries citing papers authored by Hans Ury

Since Specialization
Citations

This map shows the geographic impact of Hans Ury'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 Hans Ury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Ury more than expected).

Fields of papers citing papers by Hans Ury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans Ury. 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 Hans Ury. The network helps show where Hans Ury may publish in the future.

Co-authors

The 23 scholars most cited alongside Hans Ury, 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 Hans Ury Line = papers co-authored together Hans Ury links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980274
2 1979214
3 1975186
4 1979173
5 1978146
6 1976122
7 1980108
8 197982
9 198259
10 197158
11 197443
12 198343
13 198432
14 198032
15 197930
16 198019
17
Cigarette smoking habits and urine characteristics: urinalysis abnormalities are more common is smokers, but the reasons are unclear.
197816
18 197114
19 197013
20 196813

About Hans Ury

Hans Ury is a scholar working on Statistics and Probability, Management Science and Operations Research, Health, Toxicology and Mutagenesis, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Air Quality and Health Impacts (5 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers), Cardiac Health and Mental Health (3 papers), Optimal Experimental Design Methods (3 papers), Statistical Methods in Clinical Trials (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (253 citations), Statistics, Probability and Uncertainty (65 citations), Finance (90 citations), Oncology (208 citations) and Cancer Research (111 citations). Hans Ury has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Gary Friedman, Loring G. Dales, Joseph L. Fleiss, Michael R. Stoline, Alex Tytun, Seymour Grossman, Sue Williams, A B Siegelaub, John R. Goldsmith and Richard Bawol. Their work appears in journals such as Technometrics, British Journal of Mathematical and Statistical Psychology, JNCI Journal of the National Cancer Institute, American Journal of Epidemiology and Biometrics.

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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