Hannes Sieling
- Statistics and Probability top 5%
- Molecular Biology
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 10%
- Control and Systems Engineering
- Co-authors
- Axel MunkKlaus FrickThomas HotzAndreas FutschikClaudia SteinemOle Mathis SchütteUlf DiederichsenGuenther Walther
- Topics
- Statistical Methods and Inference (2 papers)Gene expression and cancer classification (2 papers)Bayesian Methods and Mixture Models (1 paper)
- Journals
- BioinformaticsBiometrikaJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- GermanyUnited States
In The Last Decade
Hannes Sieling
5 papers receiving 202 citations
Peers
Comparison fields: 5 of 54
- Statistics and Probability 114
- Molecular Biology 50
- Artificial Intelligence 47
- Statistics, Probability and Uncertainty 30
- Control and Systems Engineering 24
Countries citing papers authored by Hannes Sieling
This map shows the geographic impact of Hannes Sieling'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 Hannes Sieling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannes Sieling more than expected).
Fields of papers citing papers by Hannes Sieling
This network shows the impact of papers produced by Hannes Sieling. 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 Hannes Sieling. The network helps show where Hannes Sieling may publish in the future.
Co-authorship network of co-authors of Hannes Sieling
This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Sieling. A scholar is included among the top collaborators of Hannes Sieling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hannes Sieling. Hannes Sieling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Multiscale Change-Point Inference [R package stepR version 2.1-1] | 1 |
| 2 | 8 | |
| 3 | 12 | |
| 4 | 169 | |
| 5 | 19 |
About Hannes Sieling
Hannes Sieling is a scholar working on Statistics and Probability, Spectroscopy and Artificial Intelligence, having authored 5 papers that have together received 209 indexed citations. Recurring topics across this work include Statistical Methods and Inference (2 papers), Gene expression and cancer classification (2 papers) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Statistics and Probability (114 citations), Statistics, Probability and Uncertainty (30 citations) and Finance (15 citations). Hannes Sieling has collaborated with scholars based in Germany and United States. Frequent co-authors include Axel Munk, Klaus Frick, Thomas Hotz, Andreas Futschik, Claudia Steinem, Ole Mathis Schütte, Ulf Diederichsen and Guenther Walther. Their work appears in journals such as Bioinformatics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.