Teodoro Laino
Impact in
- Materials Chemistry top 1%
- Machine Learning in Materials Science
- Graphene research and applications
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Materials Science 34
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- Computational Drug Discovery Methods 20
- Co-authors
- Philippe Schwaller (23 shared papers)Alessandro Curioni (18 shared papers)Alain C. Vaucher (18 shared papers)Jean‐Louis Reymond (4 shared papers)Michele Parrinello (6 shared papers)Vishnu H Nair (5 shared papers)Alessandro Laio (3 shared papers)Fawzi Mohamed (2 shared papers)
- Journals
- The Journal of Physical Chemistry B (5 papers)Journal of Chemical Theory and Computation (5 papers)Nature Communications (5 papers)npj Computational Materials (4 papers)The Journal of Physical Chemistry A (4 papers)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Teodoro Laino
99 papers receiving 7.9k citations
Teodoro Laino's Hit Papers
Peers
Comparison fields: 5 of 154
- Materials Chemistry 3.9k
- Computational Theory and Mathematics 1.3k
- Catalysis 380
- Physical and Theoretical Chemistry 462
- Inorganic Chemistry 692
Countries citing papers authored by Teodoro Laino
This map shows the geographic impact of Teodoro Laino'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 Teodoro Laino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teodoro Laino more than expected).
Fields of papers citing papers by Teodoro Laino
This network shows the impact of papers produced by Teodoro Laino. 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 Teodoro Laino. The network helps show where Teodoro Laino may publish in the future.
Co-authors
The 25 scholars most cited alongside Teodoro Laino, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations Hit paper breakdown → | 2020 | 3316 |
| 2 | 2010 | 400 | |
| 3 | “Found in Translation”: predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models Hit paper breakdown → | 2018 | 332 |
| 4 | Accelerating materials discovery using artificial intelligence, high performance computing and robotics Hit paper breakdown → | 2022 | 297 |
| 5 | 2020 | 285 | |
| 6 | 2005 | 247 | |
| 7 | Mapping the space of chemical reactions using attention-based neural networks Hit paper breakdown → | 2021 | 237 |
| 8 | 2014 | 224 | |
| 9 | 2021 | 197 | |
| 10 | 2021 | 180 | |
| 11 | 2020 | 152 | |
| 12 | 2006 | 151 | |
| 13 | 2020 | 149 | |
| 14 | 2020 | 121 | |
| 15 | 2012 | 94 | |
| 16 | 2003 | 87 | |
| 17 | 2022 | 86 | |
| 18 | 2022 | 75 | |
| 19 | 2011 | 70 | |
| 20 | 2008 | 64 |
About Teodoro Laino
Teodoro Laino is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Molecular Biology, Physical and Theoretical Chemistry and Spectroscopy, having authored 102 papers that have together received 8.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (34 papers), Computational Drug Discovery Methods (20 papers), Advanced Chemical Physics Studies (8 papers), Topic Modeling (8 papers), Advanced Battery Materials and Technologies (7 papers), Protein Structure and Dynamics (7 papers), Chemical Synthesis and Analysis (7 papers) and Advanced NMR Techniques and Applications (6 papers). The work is most often cited by research in Materials Chemistry (3.9k citations), Computational Theory and Mathematics (1.3k citations), Catalysis (380 citations), Physical and Theoretical Chemistry (462 citations) and Inorganic Chemistry (692 citations). Teodoro Laino has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Philippe Schwaller, Alessandro Curioni, Alain C. Vaucher, Jean‐Louis Reymond, Michele Parrinello, Vishnu H Nair, Alessandro Laio, Fawzi Mohamed, Costas Bekas and Katharina Meier. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, Nature Communications, npj Computational Materials and The Journal of Physical Chemistry A.
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.