Gerhard Hommel
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 29
- Statistical Methods and Bayesian Inference 7
- Internal Medicine top 2%
-
- Ophthalmology and Eye Disorders 9
-
- Optimal Experimental Design Methods 24
-
- Pituitary Gland Disorders and Treatments 7
-
- Gene expression and cancer classification 7
-
- Meta-analysis and systematic reviews 6
-
- Health Systems, Economic Evaluations, Quality of Life 5
- Co-authors
- George J. KahalyMaria BlettnerSusanne PitzBernd RöhrigJean‐Baptist du PrelL. HeilmannManuela DittmarStephan Sahm
- Journals
- Biometrical Journal (10 papers)Archives of Gynecology and Obstetrics (7 papers)The Journal of Clinical Endocrinology & Metabolism (5 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Gerhard Hommel
111 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Statistics and Probability 859
- Internal Medicine 272
- Pathology and Forensic Medicine 900
- Management Science and Operations Research 550
- Endocrinology, Diabetes and Metabolism 707
Countries citing papers authored by Gerhard Hommel
This map shows the geographic impact of Gerhard Hommel'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 Gerhard Hommel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Hommel more than expected).
Fields of papers citing papers by Gerhard Hommel
This network shows the impact of papers produced by Gerhard Hommel. 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 Gerhard Hommel. The network helps show where Gerhard Hommel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerhard Hommel, 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 | 2012 | 96 | |
| 2 | 2011 | 77 | |
| 3 | 2011 | 32 | |
| 4 | 2010 | 116 | |
| 5 | 2009 | 345 | |
| 6 | 2009 | 47 | |
| 7 | 2007 | 6 | |
| 8 | 2004 | 2 | |
| 9 | 2003 | 23 | |
| 10 | 2001 | 19 | |
| 11 | 2001 | 18 | |
| 12 | 2000 | 102 | |
| 13 | 1998 | 23 | |
| 14 | 1997 | 50 | |
| 15 | 1979 | 2 | |
| 16 | 1977 | 1 | |
| 17 | 1976 | 4 | |
| 18 | 1976 | 5 | |
| 19 | 1976 | 4 | |
| 20 | 1975 | 17 |
About Gerhard Hommel
Gerhard Hommel is a scholar working on Statistics and Probability, Management Science and Operations Research, Internal Medicine, Obstetrics and Gynecology and Nephrology, having authored 115 papers that have together received 5.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (29 papers), Optimal Experimental Design Methods (24 papers), Ophthalmology and Eye Disorders (9 papers), Pituitary Gland Disorders and Treatments (7 papers), Gene expression and cancer classification (7 papers), Statistical Methods and Bayesian Inference (7 papers), Meta-analysis and systematic reviews (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Statistics and Probability (859 citations), Internal Medicine (272 citations), Pathology and Forensic Medicine (900 citations), Management Science and Operations Research (550 citations) and Endocrinology, Diabetes and Metabolism (707 citations). Gerhard Hommel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include George J. Kahaly, Maria Blettner, Susanne Pitz, Bernd Röhrig, Maria Blettner, Jean‐Baptist du Prel, L. Heilmann, Manuela Dittmar, Stephan Sahm and Helmut E. Gabbert. Their work appears in journals such as Biometrical Journal, Archives of Gynecology and Obstetrics, The Journal of Clinical Endocrinology & Metabolism, Statistics in Medicine and Biometrika.
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.