Peter Ihm
Impact in
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- Parathyroid Disorders and Treatments
Papers in
-
- Statistical Methods in Clinical Trials 3
- Statistical Distribution Estimation and Applications 1
- Advanced Causal Inference Techniques 1
- Co-authors
- Hans‐Hermann Bock (1 shared paper)Robert A. Sofferman (1 shared paper)Todd G. Dray (1 shared paper)L. G. Silvestri (1 shared paper)Nicholas J. Hardin (1 shared paper)G Farchi (1 shared paper)L. R. Hill (1 shared paper)K. Hummel (2 shared papers)
- Journals
- Molecular Genetics and Genomics (3 papers)International Journal of Legal Medicine (2 papers)Current Anthropology (1 paper)Human Genetics (1 paper)Journal of Ecology (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Peter Ihm
27 papers receiving 209 citations
Peers
Comparison fields: 5 of 106
- Nephrology 24
- Ecological Modeling 11
- Statistics and Probability 20
- Nature and Landscape Conservation 30
- Paleontology 14
Countries citing papers authored by Peter Ihm
This map shows the geographic impact of Peter Ihm'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 Peter Ihm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ihm more than expected).
Fields of papers citing papers by Peter Ihm
This network shows the impact of papers produced by Peter Ihm. 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 Peter Ihm. The network helps show where Peter Ihm may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ihm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 41 | |
| 2 | Statistische Methoden für Biologie und Medizin | 1971 | 35 |
| 3 | 1965 | 32 | |
| 4 | 2001 | 28 | |
| 5 | 1991 | 17 | |
| 6 | 1982 | 16 | |
| 7 | Biostatistical opinion of parentage : based upon the results of blood group tests | 1971 | 13 |
| 8 | 1969 | 9 | |
| 9 | 1966 | 8 | |
| 10 | 1954 | 6 | |
| 11 | 1974 | 5 | |
| 12 | 1957 | 5 | |
| 13 | 1971 | 5 | |
| 14 | 1971 | 4 | |
| 15 | 1953 | 4 | |
| 16 | 2000 | 4 | |
| 17 | 1976 | 3 | |
| 18 | 1955 | 3 | |
| 19 | [Testing homogeneity of multidimensional medical data by means of principal component analysis]. | 1965 | 3 |
| 20 | 1987 | 3 |
About Peter Ihm
Peter Ihm is a scholar working on Statistics and Probability, Molecular Biology, Physiology, Surgery and Nephrology, having authored 29 papers that have together received 256 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Medical and Biological Sciences (1 paper), Statistical Distribution Estimation and Applications (1 paper), Advanced Causal Inference Techniques (1 paper), Blood groups and transfusion (1 paper), Algebraic and Geometric Analysis (1 paper), Linguistic Education and Pedagogy (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Nephrology (24 citations), Ecological Modeling (11 citations), Statistics and Probability (20 citations), Nature and Landscape Conservation (30 citations) and Paleontology (14 citations). Peter Ihm has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Hans‐Hermann Bock, Robert A. Sofferman, Todd G. Dray, L. G. Silvestri, Nicholas J. Hardin, G Farchi, L. R. Hill, K. Hummel, G. G. Wendt and Volker H. Schmidt. Their work appears in journals such as Molecular Genetics and Genomics, International Journal of Legal Medicine, Current Anthropology, Human Genetics and Journal of Ecology.
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.