Peter Dalgaard
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Ecology and Vegetation Dynamics Studies
Papers in
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- Glaucoma and retinal disorders 4
- Retinal Diseases and Treatments 4
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- Retinal Development and Disorders 3
- Co-authors
- Anders Juul (2 shared papers)Peter Bang (2 shared papers)Niels E. Skakkebæk (2 shared papers)J. Müller (1 shared paper)Kerstin Hall (1 shared paper)Werner Blum (1 shared paper)Kim F. Michaelsen (1 shared paper)Michael Larsen (9 shared papers)
In The Last Decade
Peter Dalgaard
50 papers receiving 3.2k citations
Peter Dalgaard's Hit Papers
Peers
Comparison fields: 5 of 199
- Endocrinology, Diabetes and Metabolism 440
- Nature and Landscape Conservation 250
- Ecological Modeling 68
- Statistics and Probability 124
- Genetics 381
Countries citing papers authored by Peter Dalgaard
This map shows the geographic impact of Peter Dalgaard'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 Dalgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dalgaard more than expected).
Fields of papers citing papers by Peter Dalgaard
This network shows the impact of papers produced by Peter Dalgaard. 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 Dalgaard. The network helps show where Peter Dalgaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Dalgaard, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | R Development Core Team (2010): R: A language and environment for statistical computing Hit paper breakdown → | 2010 | 746 |
| 2 | Introductory Statistics with R Hit paper breakdown → | 2002 | 573 |
| 3 | 1995 | 408 | |
| 4 | 2008 | 406 | |
| 5 | 1994 | 194 | |
| 6 | 1994 | 169 | |
| 7 | 2005 | 149 | |
| 8 | 1987 | 110 | |
| 9 | 2002 | 83 | |
| 10 | 1986 | 72 | |
| 11 | 1996 | 59 | |
| 12 | 1987 | 57 | |
| 13 | 2007 | 33 | |
| 14 | 1994 | 29 | |
| 15 | 2008 | 29 | |
| 16 | 1987 | 26 | |
| 17 | 2011 | 25 | |
| 18 | 1991 | 22 | |
| 19 | 1990 | 21 | |
| 20 | 1987 | 20 |
About Peter Dalgaard
Peter Dalgaard is a scholar working on Ophthalmology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 52 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (4 papers), Retinal Diseases and Treatments (4 papers), Migraine and Headache Studies (3 papers), Data Analysis with R (3 papers), Retinal Development and Disorders (3 papers), Ophthalmology and Visual Impairment Studies (2 papers), Retinal Imaging and Analysis (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (440 citations), Nature and Landscape Conservation (250 citations), Ecological Modeling (68 citations), Statistics and Probability (124 citations) and Genetics (381 citations). Peter Dalgaard has collaborated with scholars based in Denmark, Austria and Türkiye. Frequent co-authors include Anders Juul, Peter Bang, Niels E. Skakkebæk, J. Müller, Kerstin Hall, Werner Blum, Kim F. Michaelsen, Michael Larsen, Henrik Lund‐Andersen and Andrus Viidik. Their work appears in journals such as Graefe s Archive for Clinical and Experimental Ophthalmology, Acta Ophthalmologica, The Journal of Clinical Endocrinology & Metabolism, Statistics and Computing and Acta Paediatrica.
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.