Robert Pollice
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Materials Science 12
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- Catalytic C–H Functionalization Methods 5
- Co-authors
- Alán Aspuru‐Guzik (19 shared papers)Gabriel dos Passos Gomes (7 shared papers)AkshatKumar Nigam (8 shared papers)Peter Chen (8 shared papers)Mario Krenn (4 shared papers)Pascal Friederich (4 shared papers)Cyrille Lavigne (6 shared papers)Cher Tian Ser (4 shared papers)
- Journals
- Journal of the American Chemical Society (5 papers)Chemical Science (3 papers)Accounts of Chemical Research (2 papers)Advanced Materials (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- CanadaSwitzerlandNetherlands
In The Last Decade
Robert Pollice
39 papers receiving 1.8k citations
Robert Pollice's Hit Papers
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 337
- Physical and Theoretical Chemistry 177
- Materials Chemistry 826
- Inorganic Chemistry 188
- Organic Chemistry 343
Countries citing papers authored by Robert Pollice
This map shows the geographic impact of Robert Pollice'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 Robert Pollice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pollice more than expected).
Fields of papers citing papers by Robert Pollice
This network shows the impact of papers produced by Robert Pollice. 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 Robert Pollice. The network helps show where Robert Pollice may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Pollice, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data-Driven Strategies for Accelerated Materials Design Hit paper breakdown → | 2021 | 322 |
| 2 | A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis Hit paper breakdown → | 2022 | 209 |
| 3 | On scientific understanding with artificial intelligence Hit paper breakdown → | 2022 | 203 |
| 4 | Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab Hit paper breakdown → | 2022 | 168 |
| 5 | 2021 | 135 | |
| 6 | 2021 | 107 | |
| 7 | 2017 | 101 | |
| 8 | 2019 | 65 | |
| 9 | 2021 | 61 | |
| 10 | 2019 | 58 | |
| 11 | 2022 | 57 | |
| 12 | 2022 | 38 | |
| 13 | 2024 | 35 | |
| 14 | 2024 | 34 | |
| 15 | 2019 | 33 | |
| 16 | 2024 | 28 | |
| 17 | 2024 | 23 | |
| 18 | 2017 | 21 | |
| 19 | 2014 | 18 | |
| 20 | 2025 | 17 |
About Robert Pollice
Robert Pollice is a scholar working on Materials Chemistry, Organic Chemistry, Atomic and Molecular Physics, and Optics, Molecular Biology and Computational Theory and Mathematics, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (12 papers), Advanced Chemical Physics Studies (9 papers), Computational Drug Discovery Methods (7 papers), Organic Electronics and Photovoltaics (5 papers), Organic Light-Emitting Diodes Research (5 papers), Catalytic C–H Functionalization Methods (5 papers), Chemical Synthesis and Analysis (5 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (337 citations), Physical and Theoretical Chemistry (177 citations), Materials Chemistry (826 citations), Inorganic Chemistry (188 citations) and Organic Chemistry (343 citations). Robert Pollice has collaborated with scholars based in Canada, Switzerland and Netherlands. Frequent co-authors include Alán Aspuru‐Guzik, Gabriel dos Passos Gomes, AkshatKumar Nigam, Peter Chen, Mario Krenn, Pascal Friederich, Cyrille Lavigne, Cher Tian Ser, Matteo Aldeghi and Zhenpeng Yao. Their work appears in journals such as Journal of the American Chemical Society, Chemical Science, Accounts of Chemical Research, Advanced Materials and Angewandte Chemie International Edition.
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.