Vincenzo Lordi
- Materials Chemistry top 2%
- Machine Learning in Materials Science 16
- Quantum Dots Synthesis And Properties 15
- Copper-based nanomaterials and applications 10
- Carbon Nanotubes in Composites 9
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- Semiconductor Quantum Structures and Devices 15
- Condensed Matter Physics top 5%
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- Chalcogenide Semiconductor Thin Films 19
- Advanced Semiconductor Detectors and Materials 15
- Semiconductor materials and devices 15
- Co-authors
- Nan YaoJames Cheng‐Chung WeiJoel B. VarleyAmit SamantaCedric Rocha LeãoDaniel ÅbergKyoung E. KweonJohn E. Pask
- Cited by
- Materials ChemistryRenewable Energy, Sustainability and the EnvironmentAtomic and Molecular Physics, and Optics
- Journals
- Physical Review Letters (5 papers)Nature Communications (1 paper)The Journal of Chemical Physics (3 papers)
- Partner nations
- United StatesGermanyChile
In The Last Decade
Vincenzo Lordi
96 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 82
- Materials Chemistry 2.1k
- Renewable Energy, Sustainability and the Environment 515
- Atomic and Molecular Physics, and Optics 789
- Condensed Matter Physics 293
- Electrical and Electronic Engineering 1.4k
Countries citing papers authored by Vincenzo Lordi
This map shows the geographic impact of Vincenzo Lordi'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 Vincenzo Lordi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Lordi more than expected).
Fields of papers citing papers by Vincenzo Lordi
This network shows the impact of papers produced by Vincenzo Lordi. 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 Vincenzo Lordi. The network helps show where Vincenzo Lordi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincenzo Lordi, 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 | 2025 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 8 | |
| 5 | 2025 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 32 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 18 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 52 | |
| 20 | 2020 | 4 |
About Vincenzo Lordi
Vincenzo Lordi is a scholar working on Materials Chemistry, Structural Biology and Atomic and Molecular Physics, and Optics, having authored 99 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chalcogenide Semiconductor Thin Films (19 papers), Machine Learning in Materials Science (16 papers), Semiconductor Quantum Structures and Devices (15 papers), Advanced Semiconductor Detectors and Materials (15 papers), Quantum Dots Synthesis And Properties (15 papers), Semiconductor materials and devices (15 papers), Copper-based nanomaterials and applications (10 papers) and Carbon Nanotubes in Composites (9 papers). The work is most often cited by research in Materials Chemistry (2.1k citations), Renewable Energy, Sustainability and the Environment (515 citations) and Atomic and Molecular Physics, and Optics (789 citations). Vincenzo Lordi has collaborated with scholars based in United States, Germany and Chile. Frequent co-authors include Nan Yao, James Cheng‐Chung Wei, Joel B. Varley, Amit Samanta, Cedric Rocha Leão, Daniel Åberg, Kyoung E. Kweon, John E. Pask, Paul Erhart and Tuan Anh Pham. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.
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.