Benjamín Sánchez-Lengeling
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Materials Chemistry top 2%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
-
- Machine Learning in Materials Science 12
-
- Computational Drug Discovery Methods 9
- Co-authors
- Alán Aspuru‐Guzik (19 shared papers)Jennifer N. Wei (5 shared papers)David Duvenaud (1 shared paper)Ryan P. Adams (1 shared paper)Timothy Hirzel (1 shared paper)Dennis Sheberla (1 shared paper)Rafael Gómez‐Bombarelli (1 shared paper)Jorge Aguilera‐Iparraguirre (1 shared paper)
- Journals
- Science (3 papers)ACS Central Science (2 papers)Machine Learning Science and Technology (2 papers)Advanced Theory and Simulations (1 paper)Current Opinion in Green and Sustainable Chemistry (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Benjamín Sánchez-Lengeling
26 papers receiving 5.4k citations
Benjamín Sánchez-Lengeling's Hit Papers
Peers
Comparison fields: 5 of 162
- Computational Theory and Mathematics 1.7k
- Materials Chemistry 2.8k
- Electrical and Electronic Engineering 1.8k
- Automotive Engineering 337
- Catalysis 167
Countries citing papers authored by Benjamín Sánchez-Lengeling
This map shows the geographic impact of Benjamín Sánchez-Lengeling'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 Benjamín Sánchez-Lengeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamín Sánchez-Lengeling more than expected).
Fields of papers citing papers by Benjamín Sánchez-Lengeling
This network shows the impact of papers produced by Benjamín Sánchez-Lengeling. 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 Benjamín Sánchez-Lengeling. The network helps show where Benjamín Sánchez-Lengeling may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamín Sánchez-Lengeling, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inverse molecular design using machine learning: Generative models for matter engineering Hit paper breakdown → | 2018 | 1381 |
| 2 | Rational design of layered oxide materials for sodium-ion batteries Hit paper breakdown → | 2020 | 1196 |
| 3 | Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules. Hit paper breakdown → | 2018 | 1145 |
| 4 | Inverse design of nanoporous crystalline reticular materials with deep generative models Hit paper breakdown → | 2021 | 292 |
| 5 | 2019 | 274 | |
| 6 | 2018 | 260 | |
| 7 | 2017 | 184 | |
| 8 | 2021 | 151 | |
| 9 | 2020 | 106 | |
| 10 | A principal odor map unifies diverse tasks in olfactory perception Hit paper breakdown → | 2023 | 105 |
| 11 | 2018 | 76 | |
| 12 | 2019 | 64 | |
| 13 | 2017 | 55 | |
| 14 | 2020 | 40 | |
| 15 | Evaluating Attribution for Graph Neural Networks | 2020 | 33 |
| 16 | 2014 | 32 | |
| 17 | 2023 | 26 | |
| 18 | 2018 | 20 | |
| 19 | 2020 | 15 | |
| 20 | 2023 | 11 |
About Benjamín Sánchez-Lengeling
Benjamín Sánchez-Lengeling is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Molecular Biology, Electrical and Electronic Engineering and Artificial Intelligence, having authored 27 papers that have together received 5.5k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers), Organic Electronics and Photovoltaics (3 papers), Conducting polymers and applications (3 papers), Olfactory and Sensory Function Studies (3 papers), Advanced Graph Neural Networks (3 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Materials Chemistry (2.8k citations), Electrical and Electronic Engineering (1.8k citations), Automotive Engineering (337 citations) and Catalysis (167 citations). Benjamín Sánchez-Lengeling has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alán Aspuru‐Guzik, Jennifer N. Wei, David Duvenaud, Ryan P. Adams, Timothy Hirzel, Dennis Sheberla, Rafael Gómez‐Bombarelli, Jorge Aguilera‐Iparraguirre, José Miguel Hernández-Lobato and Zhenpeng Yao. Their work appears in journals such as Science, ACS Central Science, Machine Learning Science and Technology, Advanced Theory and Simulations and Current Opinion in Green and Sustainable Chemistry.
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.