Matteo Cucchi
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Advanced Combustion Engine Technologies
Papers in
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- Advanced Memory and Neural Computing 10
- Organic Electronics and Photovoltaics 6
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- Conducting polymers and applications 10
- Co-authors
- Hans Kleemann (13 shared papers)Karl Leo (11 shared papers)Hsin Tseng (8 shared papers)Daniel Brunner (1 shared paper)Christian D. Matthus (2 shared papers)Bogdan Penkovsky (1 shared paper)Peter Steiner (1 shared paper)Axel Fischer (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (3 papers)SAE International Journal of Engines (3 papers)Advanced Electronic Materials (2 papers)Applied Thermal Engineering (2 papers)Energies (2 papers)
- Partner nations
- GermanyItalySwitzerland
In The Last Decade
Matteo Cucchi
25 papers receiving 640 citations
Peers
Comparison fields: 5 of 57
- Polymers and Plastics 221
- Fluid Flow and Transfer Processes 57
- Electrical and Electronic Engineering 456
- Bioengineering 39
- Artificial Intelligence 205
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 140 | |
| 2 | 2022 | 131 | |
| 3 | 2022 | 53 | |
| 4 | 2021 | 45 | |
| 5 | 2022 | 35 | |
| 6 | 2019 | 33 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 25 | |
| 9 | 2023 | 21 | |
| 10 | 2014 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2021 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 5 |
About Matteo Cucchi
Matteo Cucchi is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering, Fluid Flow and Transfer Processes and Automotive Engineering, having authored 26 papers that have together received 645 indexed citations. Recurring topics across this work include Conducting polymers and applications (10 papers), Advanced Memory and Neural Computing (10 papers), Advanced Combustion Engine Technologies (7 papers), Organic Electronics and Photovoltaics (6 papers), Vehicle emissions and performance (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Biodiesel Production and Applications (3 papers) and Hydraulic and Pneumatic Systems (3 papers). The work is most often cited by research in Polymers and Plastics (221 citations), Fluid Flow and Transfer Processes (57 citations), Electrical and Electronic Engineering (456 citations), Bioengineering (39 citations) and Artificial Intelligence (205 citations). Matteo Cucchi has collaborated with scholars based in Germany, Italy and Switzerland. Frequent co-authors include Hans Kleemann, Karl Leo, Hsin Tseng, Daniel Brunner, Christian D. Matthus, Bogdan Penkovsky, Peter Steiner, Axel Fischer, Peter Birkholz and Stephen Samuel. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines, Advanced Electronic Materials, Applied Thermal Engineering and Energies.
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.