Simon Bartels
Impact in
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- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Evolutionary Algorithms and Applications
Papers in ⓘ
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- Machine Learning and Data Classification 1
- Machine Learning and Algorithms 1
- Metaheuristic Optimization Algorithms Research 1
- Gaussian Processes and Bayesian Inference 1
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- Protein Structure and Dynamics 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Protein purification and stability 1
- Co-authors
- Stefan Falkner (1 shared paper)Philipp Hennig (2 shared papers)Aaron Klein (1 shared paper)Frank Hutter (1 shared paper)Wouter Boomsma (2 shared papers)Pengfei Tian (1 shared paper)Nikos S. Hatzakis (1 shared paper)Jesper Salomon (1 shared paper)
- Journals
- Electronic Journal of Statistics (1 paper)PLoS Computational Biology (1 paper)MPG.PuRe (Max Planck Society) (1 paper)arXiv (Cornell University) (1 paper)
In The Last Decade
Simon Bartels
4 papers receiving 47 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 24
- Health Informatics 1
- Transportation 3
- Computer Vision and Pattern Recognition 9
- Computational Theory and Mathematics 7
Countries citing papers authored by Simon Bartels
This map shows the geographic impact of Simon Bartels'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 Simon Bartels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Bartels more than expected).
Fields of papers citing papers by Simon Bartels
This network shows the impact of papers produced by Simon Bartels. 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 Simon Bartels. The network helps show where Simon Bartels may publish in the future.
Co-authors
The 9 scholars most cited alongside Simon Bartels, 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 | 2017 | 43 | |
| 2 | 2024 | 3 | |
| 3 | Probabilistic Approximate Least-Squares | 2016 | 1 |
| 4 | 2024 | 1 |
About Simon Bartels
Simon Bartels is a scholar working on Artificial Intelligence, Molecular Biology, Control and Systems Engineering, Computational Theory and Mathematics and Infectious Diseases, having authored 4 papers that have together received 48 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (1 paper), Machine Learning and Algorithms (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Control Systems and Identification (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Protein Structure and Dynamics (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Artificial Intelligence (24 citations), Health Informatics (1 citation), Transportation (3 citations), Computer Vision and Pattern Recognition (9 citations) and Computational Theory and Mathematics (7 citations). Simon Bartels has collaborated with scholars based in Germany and Denmark. Frequent co-authors include Stefan Falkner, Philipp Hennig, Aaron Klein, Frank Hutter, Wouter Boomsma, Pengfei Tian, Nikos S. Hatzakis, Jesper Salomon and Søren Hauberg. Their work appears in journals such as Electronic Journal of Statistics, PLoS Computational Biology, MPG.PuRe (Max Planck Society) and arXiv (Cornell University).
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.