Florian Häse
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
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- Machine Learning in Materials Science 14
- Electronic and Structural Properties of Oxides 2
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- Protein Structure and Dynamics 4
- Co-authors
- Alán Aspuru‐Guzik (22 shared papers)Loı̈c M. Roch (9 shared papers)Pascal Friederich (6 shared papers)Christoph Kreisbeck (5 shared papers)AkshatKumar Nigam (3 shared papers)Mario Krenn (3 shared papers)Jonny Proppe (1 shared paper)Matteo Aldeghi (4 shared papers)
- Journals
- Chemical Science (3 papers)Nature Communications (2 papers)ACS Central Science (2 papers)Advanced Drug Delivery Reviews (1 paper)Nature Materials (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Florian Häse
25 papers receiving 2.8k citations
Florian Häse's Hit Papers
Peers
Comparison fields: 5 of 163
- Computational Theory and Mathematics 877
- Materials Chemistry 1.6k
- Health Informatics 23
- Information Systems and Management 114
- Catalysis 109
Countries citing papers authored by Florian Häse
This map shows the geographic impact of Florian Häse'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 Florian Häse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Häse more than expected).
Fields of papers citing papers by Florian Häse
This network shows the impact of papers produced by Florian Häse. 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 Florian Häse. The network helps show where Florian Häse may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Häse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation Hit paper breakdown → | 2020 | 435 |
| 2 | Machine-learned potentials for next-generation matter simulations Hit paper breakdown → | 2021 | 401 |
| 3 | 2018 | 267 | |
| 4 | 2019 | 245 | |
| 5 | On scientific understanding with artificial intelligence Hit paper breakdown → | 2022 | 203 |
| 6 | 2021 | 196 | |
| 7 | 2021 | 149 | |
| 8 | Machine learning models to accelerate the design of polymeric long-acting injectables Hit paper breakdown → | 2023 | 146 |
| 9 | 2018 | 126 | |
| 10 | 2018 | 111 | |
| 11 | 2020 | 99 | |
| 12 | 2020 | 86 | |
| 13 | 2018 | 77 | |
| 14 | 2017 | 68 | |
| 15 | 2022 | 62 | |
| 16 | 2016 | 45 | |
| 17 | 2019 | 31 | |
| 18 | SELFIES: a robust representation of semantically constrained graphs with an example application in chemistry. | 2019 | 28 |
| 19 | 2021 | 23 | |
| 20 | 2020 | 23 |
About Florian Häse
Florian Häse is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (14 papers), Computational Drug Discovery Methods (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Protein Structure and Dynamics (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Advanced Memory and Neural Computing (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Electronic and Structural Properties of Oxides (2 papers). The work is most often cited by research in Computational Theory and Mathematics (877 citations), Materials Chemistry (1.6k citations), Health Informatics (23 citations), Information Systems and Management (114 citations) and Catalysis (109 citations). Florian Häse has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Alán Aspuru‐Guzik, Loı̈c M. Roch, Pascal Friederich, Christoph Kreisbeck, AkshatKumar Nigam, Mario Krenn, Jonny Proppe, Matteo Aldeghi, Zeqing Bao and Christine Allen. Their work appears in journals such as Chemical Science, Nature Communications, ACS Central Science, Advanced Drug Delivery Reviews and Nature Materials.
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.