Peter Guttorp
Impact in
- Statistics and Probability top 0.5%
- Environmental Engineering top 0.5%
- Soil Geostatistics and Mapping
Papers in
-
- Statistical Methods and Bayesian Inference 10
-
- Climate variability and models 26
- Hydrology and Drought Analysis 23
- Co-authors
- Paul D. SampsonΜ.Μ. GuptaJanis L. AbkowitzSandra N. CatlinDonald B. PercivalJames P. HughesMontserrat FuentesAlan E. Gelfand
- Journals
- Journal of the American Statistical Association (18 papers)Environmetrics (14 papers)Blood (10 papers)Environmental and Ecological Statistics (8 papers)Water Resources Research (8 papers)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Peter Guttorp
159 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Statistics and Probability 945
- Environmental Engineering 1.3k
- Management Science and Operations Research 958
- Global and Planetary Change 1.6k
- Hematology 606
Countries citing papers authored by Peter Guttorp
This map shows the geographic impact of Peter Guttorp'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 Guttorp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Guttorp more than expected).
Fields of papers citing papers by Peter Guttorp
This network shows the impact of papers produced by Peter Guttorp. 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 Guttorp. The network helps show where Peter Guttorp may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Guttorp, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 5 | |
| 5 | 2018 | 4 | |
| 6 | Statistical inference in partially observed stochastic compartmental models with application to cell lineage tracking of in vivo hematopoiesis | 2016 | 1 |
| 7 | 2011 | 159 | |
| 8 | 2009 | 7 | |
| 9 | 2007 | 1 | |
| 10 | 2004 | 5 | |
| 11 | 2004 | 64 | |
| 12 | 2001 | 10 | |
| 13 | 2000 | 34 | |
| 14 | 1997 | 29 | |
| 15 | 1996 | 8 | |
| 16 | Three papers on the history of branching processes | 1995 | 1 |
| 17 | 1990 | 15 | |
| 18 | 1989 | 3 | |
| 19 | 1987 | 17 | |
| 20 | 1981 | 1 |
About Peter Guttorp
Peter Guttorp is a scholar working on Statistics and Probability, Global and Planetary Change, Hematology, Environmental Engineering and Atmospheric Science, having authored 162 papers that have together received 7.4k indexed citations. Recurring topics across this work include Climate variability and models (26 papers), Hydrology and Drought Analysis (23 papers), Soil Geostatistics and Mapping (21 papers), Hematopoietic Stem Cell Transplantation (19 papers), Bayesian Methods and Mixture Models (14 papers), Meteorological Phenomena and Simulations (12 papers), Spatial and Panel Data Analysis (11 papers) and Statistical Methods and Bayesian Inference (10 papers). The work is most often cited by research in Statistics and Probability (945 citations), Environmental Engineering (1.3k citations), Management Science and Operations Research (958 citations), Global and Planetary Change (1.6k citations) and Hematology (606 citations). Peter Guttorp has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Paul D. Sampson, Μ.Μ. Gupta, Janis L. Abkowitz, Sandra N. Catlin, Donald B. Percival, James P. Hughes, James P. Hughes, Montserrat Fuentes, Alan E. Gelfand and Peter J. Diggle. Their work appears in journals such as Journal of the American Statistical Association, Environmetrics, Blood, Environmental and Ecological Statistics and Water Resources Research.
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.