Matteo Cucchi

735 citations
17 papers · 529 indexed · h-index 11

Impact in

Papers in

Matteo Cucchi

16 papers receiving 522 citations

Peers

Matteo Cucchi
Comparison fields: 5 of 48
  • Polymers and Plastics 210
  • Electrical and Electronic Engineering 435
  • Bioengineering 36
  • Artificial Intelligence 193
  • Cognitive Neuroscience 97
Replace Hsin Tseng with:
Hsin Tseng Germany
Juxiang Wang China
Myonghoon Kwak South Korea
Chenxing Jin China
Seungbeom Choi South Korea
Dimitris Tsoukalas Greece
Congyan Lu China
Spyros Stathopoulos United Kingdom
Jingrui Wang China
Danian Dong China
Matteo Cucchi relative to Hsin Tseng Germany Hsin Tseng's profile →
Citations per field
00.5×1.5×2.2×
Hsin Tseng · 1×
Citations per year

Countries citing papers authored by Matteo Cucchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

17 of 17 papers shown
#Work
1 202315
2 202319
3 202234
4 20225
5 20220
6 202247
7 2022118
8 20223
9 20222
10 202217
11 20226
12 202143
13 202123
14 2021130
15 202126
16 20199
17 201932

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.

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