Hans Ury

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

Impact in

    • Statistical Methods in Clinical Trials
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Inference
    • Advanced Causal Inference Techniques
  • Finance top 5%

Papers in

Hans Ury

44 papers receiving 1.7k citations

Peers

Hans Ury
Comparison fields: 5 of 166
  • Statistics and Probability 267
  • Finance 93
  • Statistics, Probability and Uncertainty 66
  • Oncology 237
  • Cancer Research 125
Replace Dipankar Bandyopadhyay with:
Dipankar Bandyopadhyay United States
Binbing Yu United States
Elizabeth H. Slate United States
David E. Matthews United States
Rhian Daniel United Kingdom
P. J. Solomon Australia
Don McNeil Australia
Brian Neelon United States
Roxane du Berger Canada
James Lewsey United Kingdom
Hans Ury relative to Dipankar Bandyopadhyay United States Dipankar Bandyopadhyay's profile →
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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980271
2 1979214
3 1975185
4 1979172
5 1978147
6 1976122
7 1980108
8 197983
9 198259
10 197158
11 198343
12 197443
13 198032
14 198432
15 197930
16 197828
17 198020
18
Cigarette smoking habits and urine characteristics: urinalysis abnormalities are more common is smokers, but the reasons are unclear.
197816
19 197114
20 197013

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 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Statistical Methods and Inference (5 papers), Air Quality and Health Impacts (5 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Process Monitoring (3 papers), Statistical Methods in Clinical Trials (3 papers), Cardiac Health and Mental Health (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (267 citations), Finance (93 citations), Statistics, Probability and Uncertainty (66 citations), Oncology (237 citations) and Cancer Research (125 citations). Hans Ury has collaborated with scholars based in United States 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 G D Friedman. Their work appears in journals such as Technometrics, JNCI Journal of the National Cancer Institute, British Journal of Mathematical and Statistical Psychology, Biometrics and American Journal of Epidemiology.

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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