Massimo Barbaro

1.9k citations
80 papers · 1.2k · h-index 22

Impact in

Papers in

Massimo Barbaro

71 papers receiving 1.2k citations

Peers

Massimo Barbaro
Comparison fields: 5 of 89
  • Bioengineering 372
  • Polymers and Plastics 364
  • Biomedical Engineering 656
  • Cellular and Molecular Neuroscience 238
  • Electrical and Electronic Engineering 743
Replace Bongsik Choi with:
Bongsik Choi South Korea
Jinsu Yoon South Korea
Toshihiko Noda Japan
Jia Hao Cheong Singapore
Yijun Li China
Giuseppe Massobrio Italy
Yongsuk Choi South Korea
Yaakov Tuchman United States
Andrew Lingley United States
Hamed Mazhab Jafari Canada
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Barbaro

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Barbaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005146
2 2017113
3 2012107
4 201263
5 200249
6 201047
7 201647
8 200642
9 200637
10 201635
11 201134
12 202032
13 201231
14 201330
15 200928
16 200928
17 201524
18 201223
19 201822
20 201322

About Massimo Barbaro

Massimo Barbaro is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Bioengineering and Polymers and Plastics, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (23 papers), Analytical Chemistry and Sensors (23 papers), Conducting polymers and applications (21 papers), EEG and Brain-Computer Interfaces (15 papers), Advanced Sensor and Energy Harvesting Materials (13 papers), Muscle activation and electromyography studies (12 papers), Analog and Mixed-Signal Circuit Design (11 papers) and CCD and CMOS Imaging Sensors (10 papers). The work is most often cited by research in Bioengineering (372 citations), Polymers and Plastics (364 citations), Biomedical Engineering (656 citations), Cellular and Molecular Neuroscience (238 citations) and Electrical and Electronic Engineering (743 citations). Massimo Barbaro has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Annalisa Bonfiglio, Luigi Raffo, Stefano Lai, Piero Cosseddu, A. Bonfiglió, Giorgio Mattana, Giulia Casula, Alberto Loi, Benoı̂t Piro and Marion Woytasik. Their work appears in journals such as Sensors, Sensors and Actuators B Chemical, Applied Physics Letters, Scientific Reports and IEEE Transactions on Circuits & Systems II Express Briefs.

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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