Davide Tedeschi
Impact in
- Materials Chemistry top 10%
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
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- Semiconductor Quantum Structures and Devices
Papers in
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- Semiconductor Quantum Structures and Devices 5
- Semiconductor materials and interfaces 3
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- Advancements in Semiconductor Devices and Circuit Design 5
- Perovskite Materials and Applications 3
- Co-authors
- A. Polimeni (11 shared papers)Rinaldo Trotta (5 shared papers)Elena Blundo (3 shared papers)Yuerui Lu (2 shared papers)Marco Felici (2 shared papers)Giorgio Pettinari (2 shared papers)Armando Rastelli (3 shared papers)M. Capizzi (4 shared papers)
In The Last Decade
Davide Tedeschi
16 papers receiving 700 citations
Peers
Comparison fields: 5 of 29
- Materials Chemistry 438
- Atomic and Molecular Physics, and Optics 287
- Electrical and Electronic Engineering 370
- Biomedical Engineering 182
- Artificial Intelligence 124
Countries citing papers authored by Davide Tedeschi
This map shows the geographic impact of Davide Tedeschi'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 Tedeschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Tedeschi more than expected).
Fields of papers citing papers by Davide Tedeschi
This network shows the impact of papers produced by Davide Tedeschi. 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 Tedeschi. The network helps show where Davide Tedeschi may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Tedeschi, 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 | 2020 | 127 | |
| 2 | 2019 | 106 | |
| 3 | 2019 | 93 | |
| 4 | 2019 | 88 | |
| 5 | 2016 | 53 | |
| 6 | 2016 | 46 | |
| 7 | 2015 | 44 | |
| 8 | 2021 | 37 | |
| 9 | 2018 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2016 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2017 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2025 | 4 | |
| 17 | 2025 | 0 |
About Davide Tedeschi
Davide Tedeschi is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Artificial Intelligence, having authored 17 papers that have together received 709 indexed citations. Recurring topics across this work include Nanowire Synthesis and Applications (7 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Semiconductor Quantum Structures and Devices (5 papers), 2D Materials and Applications (4 papers), Semiconductor materials and interfaces (3 papers), Quantum Information and Cryptography (3 papers), Perovskite Materials and Applications (3 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Materials Chemistry (438 citations), Atomic and Molecular Physics, and Optics (287 citations), Electrical and Electronic Engineering (370 citations), Biomedical Engineering (182 citations) and Artificial Intelligence (124 citations). Davide Tedeschi has collaborated with scholars based in Italy, Australia and Austria. Frequent co-authors include A. Polimeni, Rinaldo Trotta, Elena Blundo, Yuerui Lu, Marco Felici, Giorgio Pettinari, Armando Rastelli, M. Capizzi, A. Miriametro and Marta De Luca. Their work appears in journals such as Nano Letters, Physical review. B., ACS Nano, Physical Review Letters and Applied Physics 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.