Davide Mandelli
Impact in
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- Force Microscopy Techniques and Applications
- Materials Chemistry top 5%
- Graphene research and applications
- Diamond and Carbon-based Materials Research
- 2D Materials and Applications
- MXene and MAX Phase Materials
Papers in
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- Diamond and Carbon-based Materials Research 6
- Graphene research and applications 6
- Machine Learning in Materials Science 4
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- Force Microscopy Techniques and Applications 9
- Spectroscopy and Quantum Chemical Studies 4
- Co-authors
- Michael Urbakh (7 shared papers)Oded Hod (6 shared papers)Wengen Ouyang (5 shared papers)Ming Ma (1 shared paper)Yiming Song (1 shared paper)Quanshui Zheng (1 shared paper)Itai Leven (1 shared paper)Erio Tosatti (5 shared papers)
In The Last Decade
Davide Mandelli
27 papers receiving 1.1k citations
Davide Mandelli's Hit Papers
Peers
Comparison fields: 5 of 88
- Atomic and Molecular Physics, and Optics 586
- Materials Chemistry 788
- Mechanics of Materials 270
- Mechanical Engineering 178
- Structural Biology 6
Countries citing papers authored by Davide Mandelli
This map shows the geographic impact of Davide Mandelli'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 Davide Mandelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Mandelli more than expected).
Fields of papers citing papers by Davide Mandelli
This network shows the impact of papers produced by Davide Mandelli. 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 Davide Mandelli. The network helps show where Davide Mandelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Mandelli, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust microscale superlubricity in graphite/hexagonal boron nitride layered heterojunctions Hit paper breakdown → | 2018 | 386 |
| 2 | 2018 | 139 | |
| 3 | 2017 | 124 | |
| 4 | 2019 | 81 | |
| 5 | 2019 | 58 | |
| 6 | 2018 | 58 | |
| 7 | 2022 | 42 | |
| 8 | 1999 | 34 | |
| 9 | 2023 | 34 | |
| 10 | 2019 | 32 | |
| 11 | 2020 | 27 | |
| 12 | 2015 | 23 | |
| 13 | 2008 | 20 | |
| 14 | 2013 | 19 | |
| 15 | 2024 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2011 | 9 | |
| 18 | 2012 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2007 | 7 |
About Davide Mandelli
Davide Mandelli is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (9 papers), Diamond and Carbon-based Materials Research (6 papers), Protein Structure and Dynamics (6 papers), Graphene research and applications (6 papers), Spine and Intervertebral Disc Pathology (4 papers), Machine Learning in Materials Science (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (586 citations), Materials Chemistry (788 citations), Mechanics of Materials (270 citations), Mechanical Engineering (178 citations) and Structural Biology (6 citations). Davide Mandelli has collaborated with scholars based in Italy, Israel and Germany. Frequent co-authors include Michael Urbakh, Oded Hod, Wengen Ouyang, Ming Ma, Yiming Song, Quanshui Zheng, Itai Leven, Erio Tosatti, Andrea Vanossi and Giuseppe Di Gioia. Their work appears in journals such as Physical Review Letters, Spine, Physical review. B., Journal of Chemical Information and Modeling and Nano Letters.
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.