Roman Feldbauer
Impact in
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- Neuroscience and Neuropharmacology Research
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- Nicotinic Acetylcholine Receptors Study
- Genomics and Phylogenetic Studies
- Receptor Mechanisms and Signaling
- Gut microbiota and health
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 2
- Nicotinic Acetylcholine Receptors Study 1
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- Bacterial Identification and Susceptibility Testing 2
- Co-authors
- Thomas Rattei (2 shared papers)Arthur Flexer (3 shared papers)Margot Ernst (1 shared paper)Gerhard F. Ecker (1 shared paper)Frederik Schulz (1 shared paper)Matthias Horn (1 shared paper)Patrick Hyden (1 shared paper)Wolfgang zu Castell (1 shared paper)
In The Last Decade
Roman Feldbauer
7 papers receiving 155 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 52
- Molecular Biology 105
- Biophysics 8
- Biological Psychiatry 2
- Computational Theory and Mathematics 12
Countries citing papers authored by Roman Feldbauer
This map shows the geographic impact of Roman Feldbauer'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 Roman Feldbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Feldbauer more than expected).
Fields of papers citing papers by Roman Feldbauer
This network shows the impact of papers produced by Roman Feldbauer. 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 Roman Feldbauer. The network helps show where Roman Feldbauer may publish in the future.
Co-authors
The 10 scholars most cited alongside Roman Feldbauer, 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 | 2016 | 75 | |
| 2 | 2015 | 33 | |
| 3 | 2020 | 25 | |
| 4 | 2018 | 12 | |
| 5 | 2021 | 9 | |
| 6 | 2016 | 2 | |
| 7 | 2018 | 2 |
About Roman Feldbauer
Roman Feldbauer is a scholar working on Molecular Biology, Clinical Biochemistry, Artificial Intelligence, Biophysics and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 158 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers), Cell Image Analysis Techniques (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Anomaly Detection Techniques and Applications (2 papers), Data Management and Algorithms (1 paper), Image Processing Techniques and Applications (1 paper) and Nicotinic Acetylcholine Receptors Study (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (52 citations), Molecular Biology (105 citations), Biophysics (8 citations), Biological Psychiatry (2 citations) and Computational Theory and Mathematics (12 citations). Roman Feldbauer has collaborated with scholars based in Austria and Germany. Frequent co-authors include Thomas Rattei, Arthur Flexer, Margot Ernst, Gerhard F. Ecker, Frederik Schulz, Matthias Horn, Patrick Hyden, Wolfgang zu Castell, Carlos A. García-Pérez and Claudia Plant. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Knowledge and Information Systems, Frontiers in Molecular Neuroscience and Frontiers in Microbiology.
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.