Denis Perrone

1.1k citations
48 papers · 919 · h-index 19

Impact in

Papers in

Denis Perrone

46 papers receiving 898 citations

Peers

Denis Perrone
Comparison fields: 5 of 74
  • Polymers and Plastics 225
  • Bioengineering 82
  • Electrical and Electronic Engineering 649
  • Biomedical Engineering 406
  • Cellular and Molecular Neuroscience 101
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Xuan Cao United States
Alaa Abdellah Germany
Tero Mustonen Finland
Ju Nie Tey Singapore
Amir Taqieddin United States
Yangxin Zhou China
Jianwen Zhao China
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Citations per year

Countries citing papers authored by Denis Perrone

Since Specialization
Citations

This map shows the geographic impact of Denis Perrone'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 Denis Perrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Perrone more than expected).

Fields of papers citing papers by Denis Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Perrone. 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 Denis Perrone. The network helps show where Denis Perrone may publish in the future.

Co-authors

The 25 scholars most cited alongside Denis Perrone, 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 Denis Perrone Line = papers co-authored together Denis Perrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016131
2 201374
3 201660
4 201757
5 201542
6 201635
7 201633
8 201032
9 200832
10 200531
11 200930
12 201529
13 201527
14 201725
15 201725
16 201623
17 201822
18 201421
19 201619
20 200917

About Denis Perrone

Denis Perrone is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Polymers and Plastics and Materials Chemistry, having authored 48 papers that have together received 919 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (13 papers), Advanced Memory and Neural Computing (10 papers), Semiconductor materials and interfaces (9 papers), Conducting polymers and applications (8 papers), Semiconductor materials and devices (6 papers), Neuroscience and Neural Engineering (5 papers), Nanofabrication and Lithography Techniques (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Polymers and Plastics (225 citations), Bioengineering (82 citations), Electrical and Electronic Engineering (649 citations), Biomedical Engineering (406 citations) and Cellular and Molecular Neuroscience (101 citations). Denis Perrone has collaborated with scholars based in Italy, Pakistan and United States. Frequent co-authors include Alessandro Chiolerio, Candido Fabrizio Pirri, Sergio Bocchini, Krishna Rajan, Annalisa Chiappone, Ignazio Roppolo, Katarzyna Bejtka, Matteo Cocuzza, Carlo Ricciardi and Simone Luigi Marasso. Their work appears in journals such as Microelectronic Engineering, Applied Surface Science, RSC Advances, Journal of Materials Chemistry C and Scientific Reports.

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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