Claudio Zeni
Impact in
- Structural Biology top 10%
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Materials Science 8
- Electronic and Structural Properties of Oxides 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Aldo Glielmo (7 shared papers)Alessandro De Vita (1 shared paper)Kevin Rossi (7 shared papers)Francesca Baletto (3 shared papers)Stefano de Gironcoli (3 shared papers)Alessandro Laio (2 shared papers)Richard E. Palmer (1 shared paper)Andrea Anelli (2 shared papers)
- Journals
- Physical review. B. (2 papers)Nature Communications (1 paper)Faraday Discussions (1 paper)The Journal of Chemical Physics (1 paper)Advances in Physics X (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Claudio Zeni
10 papers receiving 301 citations
Peers
Comparison fields: 5 of 60
- Structural Biology 14
- Computational Theory and Mathematics 89
- Materials Chemistry 225
- Atmospheric Science 40
- Condensed Matter Physics 16
Countries citing papers authored by Claudio Zeni
This map shows the geographic impact of Claudio Zeni'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 Claudio Zeni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Zeni more than expected).
Fields of papers citing papers by Claudio Zeni
This network shows the impact of papers produced by Claudio Zeni. 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 Claudio Zeni. The network helps show where Claudio Zeni may publish in the future.
Co-authors
The 16 scholars most cited alongside Claudio Zeni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 103 | |
| 2 | 2021 | 56 | |
| 3 | 2019 | 30 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 19 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 |
About Claudio Zeni
Claudio Zeni is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Molecular Biology, Atmospheric Science and Organic Chemistry, having authored 10 papers that have together received 303 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (2 papers), nanoparticles nucleation surface interactions (2 papers), Advanced Clustering Algorithms Research (1 paper), Electronic and Structural Properties of Oxides (1 paper), Fullerene Chemistry and Applications (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Structural Biology (14 citations), Computational Theory and Mathematics (89 citations), Materials Chemistry (225 citations), Atmospheric Science (40 citations) and Condensed Matter Physics (16 citations). Claudio Zeni has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Aldo Glielmo, Alessandro De Vita, Kevin Rossi, Francesca Baletto, Stefano de Gironcoli, Alessandro Laio, Richard E. Palmer, Andrea Anelli, Joseph Kioseoglou and Gábor Cśanyi. Their work appears in journals such as Physical review. B., Nature Communications, Faraday Discussions, The Journal of Chemical Physics and Advances in Physics X.
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.