Bernhard Steiert
Impact in
- Health Informatics top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Gene Regulatory Network Analysis 6
- Microbial Metabolic Engineering and Bioproduction 3
- Protein Structure and Dynamics 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
-
- Machine Learning in Healthcare 3
- Co-authors
- Lucy Hutchinson (3 shared papers)Jitao David Zhang (1 shared paper)Fabian Birzele (1 shared paper)Balázs Bánfai (1 shared paper)Juliane Siebourg‐Polster (1 shared paper)Tony Kam‐Thong (1 shared paper)Iakov I. Davydov (1 shared paper)Solveig Badillo (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)CPT Pharmacometrics & Systems Pharmacology (3 papers)Bioinformatics (2 papers)PLoS ONE (2 papers)Translational Vision Science & Technology (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Bernhard Steiert
14 papers receiving 992 citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Health Informatics 23
- Biophysics 50
- Modeling and Simulation 30
- Molecular Biology 383
- Computational Theory and Mathematics 82
Countries citing papers authored by Bernhard Steiert
This map shows the geographic impact of Bernhard Steiert'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 Bernhard Steiert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Steiert more than expected).
Fields of papers citing papers by Bernhard Steiert
This network shows the impact of papers produced by Bernhard Steiert. 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 Bernhard Steiert. The network helps show where Bernhard Steiert may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Steiert, 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 | An Introduction to Machine Learning Hit paper breakdown → | 2020 | 503 |
| 2 | 2015 | 153 | |
| 3 | 2016 | 68 | |
| 4 | 2015 | 51 | |
| 5 | 2012 | 47 | |
| 6 | 2014 | 44 | |
| 7 | 2018 | 39 | |
| 8 | 2018 | 33 | |
| 9 | 2016 | 30 | |
| 10 | 2022 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2019 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Bernhard Steiert
Bernhard Steiert is a scholar working on Molecular Biology, Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics and Management Science and Operations Research, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Computational Drug Discovery Methods (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Machine Learning in Healthcare (3 papers), Protein Structure and Dynamics (2 papers), Statistical Methods in Clinical Trials (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Health Informatics (23 citations), Biophysics (50 citations), Modeling and Simulation (30 citations), Molecular Biology (383 citations) and Computational Theory and Mathematics (82 citations). Bernhard Steiert has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Lucy Hutchinson, Jitao David Zhang, Fabian Birzele, Balázs Bánfai, Juliane Siebourg‐Polster, Tony Kam‐Thong, Iakov I. Davydov, Solveig Badillo, Jens Timmer and Clemens Kreutz. Their work appears in journals such as PLoS Computational Biology, CPT Pharmacometrics & Systems Pharmacology, Bioinformatics, PLoS ONE and Translational Vision Science & Technology.
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.