Marcel Dettling
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Molecular Biology top 10%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
Papers in
-
- Gene expression and cancer classification 10
- Bioinformatics and Genomic Networks 6
- Gene Regulatory Network Analysis 3
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- Monetary Policy and Economic Impact 2
- Co-authors
- Peter Bühlmann (9 shared papers)Felix Niggli (3 shared papers)Beat W. Schäfer (3 shared papers)Giovanni Parmigiani (2 shared papers)Jörn Treuner (1 shared paper)Eva Koscielniak (1 shared paper)Sabine Stegmaier (1 shared paper)Marco Wachtel (1 shared paper)
- Journals
- Genome biology (2 papers)Journal of Multivariate Analysis (2 papers)Bioinformatics (2 papers)Leukemia (1 paper)The Journal of Alternative and Complementary Medicine (1 paper)
- Partner nations
- SwitzerlandUnited StatesCroatia
In The Last Decade
Marcel Dettling
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 150
- Molecular Biology 725
- Artificial Intelligence 311
- Computer Vision and Pattern Recognition 186
- Cancer Research 68
Countries citing papers authored by Marcel Dettling
This map shows the geographic impact of Marcel Dettling'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 Marcel Dettling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Dettling more than expected).
Fields of papers citing papers by Marcel Dettling
This network shows the impact of papers produced by Marcel Dettling. 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 Marcel Dettling. The network helps show where Marcel Dettling may publish in the future.
Co-authors
The 19 scholars most cited alongside Marcel Dettling, 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 | 2004 | 422 | |
| 2 | 2003 | 240 | |
| 3 | 2004 | 176 | |
| 4 | 2002 | 104 | |
| 5 | 2004 | 90 | |
| 6 | 2005 | 50 | |
| 7 | 2007 | 21 | |
| 8 | 2013 | 19 | |
| 9 | 2004 | 17 | |
| 10 | 2002 | 15 | |
| 11 | 2004 | 13 | |
| 12 | 2004 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2004 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2003 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2001 | 1 | |
| 20 | Revealing Predictive Gene Clusters with Supervised Algorithms | 2003 | 1 |
About Marcel Dettling
Marcel Dettling is a scholar working on Molecular Biology, General Economics, Econometrics and Finance, Economics and Econometrics, Finance and Artificial Intelligence, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (10 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (3 papers), Financial Risk and Volatility Modeling (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Monetary Policy and Economic Impact (2 papers), Market Dynamics and Volatility (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Statistics and Probability (150 citations), Molecular Biology (725 citations), Artificial Intelligence (311 citations), Computer Vision and Pattern Recognition (186 citations) and Cancer Research (68 citations). Marcel Dettling has collaborated with scholars based in Switzerland, United States and Croatia. Frequent co-authors include Peter Bühlmann, Felix Niggli, Beat W. Schäfer, Giovanni Parmigiani, Jörn Treuner, Eva Koscielniak, Sabine Stegmaier, Marco Wachtel, Edward Gabrielson and Lukas Rist. Their work appears in journals such as Genome biology, Journal of Multivariate Analysis, Bioinformatics, Leukemia and The Journal of Alternative and Complementary Medicine.
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.