Roberto Marani

3.3k citations
146 papers · 2.3k · h-index 29

Impact in

Papers in

Roberto Marani

134 papers receiving 2.1k citations

Peers

Roberto Marani
Comparison fields: 5 of 137
  • Biomedical Engineering 710
  • Computer Vision and Pattern Recognition 330
  • Industrial and Manufacturing Engineering 154
  • Electrical and Electronic Engineering 889
  • Human-Computer Interaction 77
Replace Marco Parvis with:
Marco Parvis Italy
Tiziana D’Orazio Italy
Jaime Valls Miró Australia
Kok-Meng Lee United States
Zhi‐Hong Mao United States
U-Xuan Tan Singapore
Karsten Berns Germany
Alfonso García-Cerezo Spain
Fei Chen China
Toon Goedemé Belgium
Roberto Marani relative to Marco Parvis Italy Marco Parvis's profile →
Citations per field
00.5×4.2×
Marco Parvis · 1×
Citations per year

Countries citing papers authored by Roberto Marani

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Marani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021133
2 2021118
3 2018115
4 2020110
5 201066
6 201761
7 202059
8 201156
9 201150
10 201650
11 202147
12 201247
13 201146
14 201641
15 201639
16 201938
17 201536
18 201836
19 201535
20 201534

About Roberto Marani

Roberto Marani is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Materials Chemistry and Aerospace Engineering, having authored 146 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (43 papers), Low-power high-performance VLSI design (24 papers), Carbon Nanotubes in Composites (17 papers), Analog and Mixed-Signal Circuit Design (17 papers), Semiconductor materials and devices (16 papers), Thermography and Photoacoustic Techniques (13 papers), Plasmonic and Surface Plasmon Research (12 papers) and Industrial Vision Systems and Defect Detection (12 papers). The work is most often cited by research in Biomedical Engineering (710 citations), Computer Vision and Pattern Recognition (330 citations), Industrial and Manufacturing Engineering (154 citations), Electrical and Electronic Engineering (889 citations) and Human-Computer Interaction (77 citations). Roberto Marani has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Anna Gina Perri, Tiziana D’Orazio, Annalisa Milella, G. Gelao, Antonio Petitti, Grazia Cicirelli, Giulio Reina, Ettore Stella, Umberto Galietti and Davide Palumbo. Their work appears in journals such as ECS Journal of Solid State Science and Technology, Current Nanoscience, Sensors, Computers and Electronics in Agriculture and Composites Part B Engineering.

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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