Pascal Friederich
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Materials Chemistry top 2%
- Machine Learning in Materials Science
Papers in
-
- Machine Learning in Materials Science 43
-
- Organic Electronics and Photovoltaics 35
- Organic Light-Emitting Diodes Research 25
- Molecular Junctions and Nanostructures 11
- Co-authors
- Alán Aspuru‐Guzik (19 shared papers)Florian Häse (5 shared papers)Wolfgang Wenzel (38 shared papers)AkshatKumar Nigam (5 shared papers)Mario Krenn (4 shared papers)Jonny Proppe (1 shared paper)Gabe Gomes (4 shared papers)Patrick Reiser (16 shared papers)
- Journals
- European Journal of Anaesthesiology (9 papers)Advanced Materials (8 papers)Journal of Chemical Theory and Computation (5 papers)Chemical Science (5 papers)Machine Learning Science and Technology (4 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Pascal Friederich
128 papers receiving 5.0k citations
Pascal Friederich's Hit Papers
Peers
Comparison fields: 5 of 180
- Computational Theory and Mathematics 984
- Materials Chemistry 2.5k
- Polymers and Plastics 466
- Inorganic Chemistry 409
- Electrical and Electronic Engineering 1.6k
Countries citing papers authored by Pascal Friederich
This map shows the geographic impact of Pascal Friederich'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 Pascal Friederich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Friederich more than expected).
Fields of papers citing papers by Pascal Friederich
This network shows the impact of papers produced by Pascal Friederich. 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 Pascal Friederich. The network helps show where Pascal Friederich may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Friederich, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph neural networks for materials science and chemistry Hit paper breakdown → | 2022 | 534 |
| 2 | Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation Hit paper breakdown → | 2020 | 469 |
| 3 | Machine-learned potentials for next-generation matter simulations Hit paper breakdown → | 2021 | 453 |
| 4 | On scientific understanding with artificial intelligence Hit paper breakdown → | 2022 | 239 |
| 5 | A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis Hit paper breakdown → | 2022 | 232 |
| 6 | 2022 | 204 | |
| 7 | SELFIES and the future of molecular string representations Hit paper breakdown → | 2022 | 177 |
| 8 | 2021 | 145 | |
| 9 | 2020 | 140 | |
| 10 | 2019 | 138 | |
| 11 | Inverse design workflow discovers hole-transport materials tailored for perovskite solar cells Hit paper breakdown → | 2024 | 131 |
| 12 | 2014 | 105 | |
| 13 | 2016 | 93 | |
| 14 | 2020 | 92 | |
| 15 | 2017 | 72 | |
| 16 | 2018 | 71 | |
| 17 | 2021 | 69 | |
| 18 | 2016 | 65 | |
| 19 | 2020 | 62 | |
| 20 | 2019 | 49 |
About Pascal Friederich
Pascal Friederich is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Computational Theory and Mathematics, Polymers and Plastics and Anesthesiology and Pain Medicine, having authored 136 papers that have together received 5.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (43 papers), Organic Electronics and Photovoltaics (35 papers), Organic Light-Emitting Diodes Research (25 papers), Computational Drug Discovery Methods (16 papers), Conducting polymers and applications (12 papers), Molecular Junctions and Nanostructures (11 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Ion channel regulation and function (8 papers). The work is most often cited by research in Computational Theory and Mathematics (984 citations), Materials Chemistry (2.5k citations), Polymers and Plastics (466 citations), Inorganic Chemistry (409 citations) and Electrical and Electronic Engineering (1.6k citations). Pascal Friederich has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Alán Aspuru‐Guzik, Florian Häse, Wolfgang Wenzel, AkshatKumar Nigam, Mario Krenn, Jonny Proppe, Gabe Gomes, Patrick Reiser, Franz Symalla and Robert Pollice. Their work appears in journals such as European Journal of Anaesthesiology, Advanced Materials, Journal of Chemical Theory and Computation, Chemical Science and Machine Learning Science and 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.