Matteo Cucchi
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Advanced Memory and Neural Computing
- Organic Electronics and Photovoltaics
Papers in
-
- Conducting polymers and applications 10
-
- Advanced Memory and Neural Computing 10
- Organic Electronics and Photovoltaics 6
- Perovskite Materials and Applications 3
- Co-authors
- Hans KleemannKarl LeoHsin TsengDaniel BrunnerChristian D. MatthusAxel FischerPeter BirkholzBogdan Penkovsky
- Journals
- Advanced Electronic Materials (2 papers)SAE International Journal of Engines (2 papers)Physical Review Applied (1 paper)ACS Applied Electronic Materials (1 paper)Journal of Materials Chemistry C (1 paper)
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
Matteo Cucchi
16 papers receiving 522 citations
Peers
Comparison fields: 5 of 48
- Polymers and Plastics 210
- Electrical and Electronic Engineering 435
- Bioengineering 36
- Artificial Intelligence 193
- Cognitive Neuroscience 97
Countries citing papers authored by Matteo Cucchi
This map shows the geographic impact of Matteo Cucchi'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 Matteo Cucchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Cucchi more than expected).
Fields of papers citing papers by Matteo Cucchi
This network shows the impact of papers produced by Matteo Cucchi. 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 Matteo Cucchi. The network helps show where Matteo Cucchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Cucchi, 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 | 2023 | 15 | |
| 2 | 2023 | 19 | |
| 3 | 2022 | 34 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 47 | |
| 7 | 2022 | 118 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 43 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 130 | |
| 15 | 2021 | 26 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 32 |
About Matteo Cucchi
Matteo Cucchi is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Bioengineering, Fluid Flow and Transfer Processes and Electrochemistry, having authored 17 papers that have together received 529 indexed citations. Recurring topics across this work include Conducting polymers and applications (10 papers), Advanced Memory and Neural Computing (10 papers), Organic Electronics and Photovoltaics (6 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Perovskite Materials and Applications (3 papers), Neural dynamics and brain function (3 papers), Neural Networks and Reservoir Computing (3 papers) and Hydraulic and Pneumatic Systems (2 papers). The work is most often cited by research in Polymers and Plastics (210 citations), Electrical and Electronic Engineering (435 citations), Bioengineering (36 citations), Artificial Intelligence (193 citations) and Cognitive Neuroscience (97 citations). Matteo Cucchi has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Hans Kleemann, Karl Leo, Hsin Tseng, Daniel Brunner, Christian D. Matthus, Axel Fischer, Peter Birkholz, Bogdan Penkovsky, Peter Steiner and Alexander Lee. Their work appears in journals such as Advanced Electronic Materials, SAE International Journal of Engines, Physical Review Applied, ACS Applied Electronic Materials and Journal of Materials Chemistry C.
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.