Peter Müeller
Impact in
- Statistics and Probability top 10%
Papers in
-
- Gene expression and cancer classification 2
- Heat shock proteins research 1
-
- Bayesian Methods and Mixture Models 4
- Co-authors
- John Terborgh (1 shared paper)L. Davenport (1 shared paper)W. H. Jefferys (1 shared paper)Thomas G. Barnes (1 shared paper)James O. Berger (1 shared paper)Fernando A. Quintana (2 shared papers)Garritt L. Page (1 shared paper)Jon M. Huibregtse (1 shared paper)
- Journals
- Foodborne Pathogens and Disease (1 paper)Blood (1 paper)Maternal and Child Health Journal (1 paper)The Astrophysical Journal (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesCyprusGermany
In The Last Decade
Peter Müeller
15 papers receiving 264 citations
Peers
Comparison fields: 5 of 87
- Instrumentation 13
- Statistics and Probability 29
- Nature and Landscape Conservation 43
- Aging 6
- Forestry 13
Countries citing papers authored by Peter Müeller
This map shows the geographic impact of Peter Müeller'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 Müeller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Müeller more than expected).
Fields of papers citing papers by Peter Müeller
This network shows the impact of papers produced by Peter Müeller. 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 Müeller. The network helps show where Peter Müeller may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Müeller, 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 | 2020 | 58 | |
| 2 | 1997 | 53 | |
| 3 | 2003 | 41 | |
| 4 | 2007 | 40 | |
| 5 | 2013 | 18 | |
| 6 | 2005 | 17 | |
| 7 | 2017 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2012 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2007 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2010 | 1 | |
| 16 | 2024 | 0 |
About Peter Müeller
Peter Müeller is a scholar working on Molecular Biology, Artificial Intelligence, Statistics and Probability, Oncology and Epidemiology, having authored 16 papers that have together received 275 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (4 papers), Gene expression and cancer classification (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Statistical Methods and Inference (2 papers), Plant Water Relations and Carbon Dynamics (1 paper), Heat shock proteins research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Instrumentation (13 citations), Statistics and Probability (29 citations), Nature and Landscape Conservation (43 citations), Aging (6 citations) and Forestry (13 citations). Peter Müeller has collaborated with scholars based in United States, Cyprus and Germany. Frequent co-authors include John Terborgh, L. Davenport, W. H. Jefferys, Thomas G. Barnes, James O. Berger, Fernando A. Quintana, Garritt L. Page, Jon M. Huibregtse, Seung Woo Ryu and Ji‐Hoon Lee. Their work appears in journals such as Foodborne Pathogens and Disease, Blood, Maternal and Child Health Journal, The Astrophysical Journal and BMC Bioinformatics.
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.