Davide Tedeschi

959 citations
17 papers · 721 · h-index 13

Impact in

Papers in

Davide Tedeschi

16 papers receiving 709 citations

Peers

Davide Tedeschi
Comparison fields: 5 of 30
  • Materials Chemistry 445
  • Atomic and Molecular Physics, and Optics 291
  • Electrical and Electronic Engineering 379
  • Biomedical Engineering 183
  • Artificial Intelligence 127
Replace Alejandro R.‐P. Montblanch with:
Alejandro R.‐P. Montblanch United Kingdom
Tillmann Godde United Kingdom
Carmen Palacios-Berraquero United Kingdom
Christopher Elbadawi Australia
S. Dufferwiel United Kingdom
Tung‐Po Hsieh Taiwan
Raphaël Proux France
Erh‐Chen Lin Taiwan
Laura Kinnischtzke United States
Matthias Wurdack Australia
Davide Tedeschi relative to Alejandro R.‐P. Montblanch United Kingdom Alejandro R.‐P. Montblanch's profile →
Citations per field
00.5×3.8×
Alejandro R.‐P. Montblanch · 1×
Citations per year

Countries citing papers authored by Davide Tedeschi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Davide Tedeschi Line = papers co-authored together Davide Tedeschi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020127
2 2019106
3 201997
4 201988
5 201656
6 201648
7 201546
8 202138
9 201822
10 202020
11 201617
12 201915
13 201915
14 201712
15 202010
16 20254
17 20250

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 721 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 (445 citations), Atomic and Molecular Physics, and Optics (291 citations), Electrical and Electronic Engineering (379 citations), Biomedical Engineering (183 citations) and Artificial Intelligence (127 citations). Davide Tedeschi has collaborated with scholars based in Italy, Australia and Austria. Frequent co-authors include A. Polimeni, Rinaldo Trotta, Elena Blundo, Giorgio Pettinari, Armando Rastelli, Yuerui Lu, Marco Felici, M. Capizzi, Michele B. Rota and A. Miriametro. Their work appears in journals such as Nano Letters, ACS Nano, Physical review. B., npj 2D Materials and Applications and Physical Review Research.

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.

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