David Kreutter
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Materials Science
Papers in
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- Enzyme Catalysis and Immobilization 2
- Microbial Metabolic Engineering and Bioproduction 2
- Chemical Synthesis and Analysis 1
- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 2
David Kreutter
4 papers receiving 285 citations
David Kreutter's Hit Papers
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 162
- Materials Chemistry 194
- Molecular Biology 118
- Catalysis 10
- Biomedical Engineering 52
Countries citing papers authored by David Kreutter
This map shows the geographic impact of David Kreutter'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 David Kreutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kreutter more than expected).
Fields of papers citing papers by David Kreutter
This network shows the impact of papers produced by David Kreutter. 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 David Kreutter. The network helps show where David Kreutter may publish in the future.
Co-authors
The 6 scholars most cited alongside David Kreutter, 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 | Mapping the space of chemical reactions using attention-based neural networks Hit paper breakdown → | 2021 | 217 |
| 2 | 2021 | 55 | |
| 3 | 2023 | 16 | |
| 4 | 2024 | 7 |
About David Kreutter
David Kreutter is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Spectroscopy and Biomedical Engineering, having authored 4 papers that have together received 295 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Enzyme Catalysis and Immobilization (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular spectroscopy and chirality (1 paper), Machine Learning in Materials Science (1 paper), Advanced Text Analysis Techniques (1 paper), Chemical Synthesis and Analysis (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (162 citations), Materials Chemistry (194 citations), Molecular Biology (118 citations), Catalysis (10 citations) and Biomedical Engineering (52 citations). David Kreutter has collaborated with scholars based in Switzerland. Frequent co-authors include Jean‐Louis Reymond, Philippe Schwaller, Teodoro Laino, Alain C. Vaucher, Vishnu H Nair and Daniel Probst. Their work appears in journals such as Chemical Science and Nature Machine Intelligence.
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.