Patrick Reiser
Impact in
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- Computational Drug Discovery Methods
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
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- Machine Learning in Materials Science 11
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- Organic Electronics and Photovoltaics 9
- Molecular Junctions and Nanostructures 3
- Organic Light-Emitting Diodes Research 2
- Co-authors
- Pascal Friederich (15 shared papers)Henrik Schopmans (4 shared papers)Luca Torresi (2 shared papers)Clint van Hoesel (1 shared paper)Marlen Neubert (1 shared paper)Chen Shao (1 shared paper)Chen Zhou (1 shared paper)Timo Sommer (1 shared paper)
- Journals
- Advanced Engineering Materials (3 papers)Chemical Science (2 papers)Journal of the American Chemical Society (1 paper)Applied Surface Science (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Patrick Reiser
22 papers receiving 736 citations
Patrick Reiser's Hit Papers
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 175
- Materials Chemistry 418
- Polymers and Plastics 94
- Electrical and Electronic Engineering 257
- Physical and Theoretical Chemistry 29
Countries citing papers authored by Patrick Reiser
This map shows the geographic impact of Patrick Reiser'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 Patrick Reiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Reiser more than expected).
Fields of papers citing papers by Patrick Reiser
This network shows the impact of papers produced by Patrick Reiser. 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 Patrick Reiser. The network helps show where Patrick Reiser may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Reiser, 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 23 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 | 407 |
| 2 | 2021 | 58 | |
| 3 | 2019 | 38 | |
| 4 | 2017 | 34 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2024 | 22 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 13 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 2 |
About Patrick Reiser
Patrick Reiser is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Computational Theory and Mathematics, Polymers and Plastics and Molecular Biology, having authored 23 papers that have together received 753 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), Organic Electronics and Photovoltaics (9 papers), Computational Drug Discovery Methods (5 papers), Conducting polymers and applications (4 papers), Molecular Junctions and Nanostructures (3 papers), Organic Light-Emitting Diodes Research (2 papers), Advanced Graph Neural Networks (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (175 citations), Materials Chemistry (418 citations), Polymers and Plastics (94 citations), Electrical and Electronic Engineering (257 citations) and Physical and Theoretical Chemistry (29 citations). Patrick Reiser has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Pascal Friederich, Henrik Schopmans, Luca Torresi, Clint van Hoesel, Marlen Neubert, Chen Shao, Chen Zhou, Timo Sommer, Eric Mankel and Annemarie Pucci. Their work appears in journals such as Advanced Engineering Materials, Chemical Science, Journal of the American Chemical Society, Applied Surface Science and Chemistry of 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.