Massimo Barbaro

1.9k total citations
80 papers, 1.2k citations indexed

About

Massimo Barbaro is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Massimo Barbaro has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Biomedical Engineering, 36 papers in Electrical and Electronic Engineering and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Massimo Barbaro's work include Neuroscience and Neural Engineering (23 papers), Analytical Chemistry and Sensors (23 papers) and Conducting polymers and applications (21 papers). Massimo Barbaro is often cited by papers focused on Neuroscience and Neural Engineering (23 papers), Analytical Chemistry and Sensors (23 papers) and Conducting polymers and applications (21 papers). Massimo Barbaro collaborates with scholars based in Italy, Spain and Switzerland. Massimo Barbaro's co-authors include Annalisa Bonfiglio, Luigi Raffo, Stefano Lai, Piero Cosseddu, A. Bonfiglió, Giorgio Mattana, Giulia Casula, Alberto Loi, Vincent Noël and Benoı̂t Piro and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Scientific Reports.

In The Last Decade

Massimo Barbaro

71 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Barbaro Italy 22 743 656 372 364 238 80 1.2k
Bongsik Choi South Korea 15 721 1.0× 450 0.7× 117 0.3× 202 0.6× 220 0.9× 35 1.1k
Jinsu Yoon South Korea 15 859 1.2× 477 0.7× 106 0.3× 240 0.7× 281 1.2× 43 1.2k
Yaakov Tuchman United States 10 1.1k 1.5× 235 0.4× 79 0.2× 558 1.5× 518 2.2× 11 1.3k
Toshihiko Noda Japan 19 631 0.8× 482 0.7× 108 0.3× 53 0.1× 602 2.5× 169 1.2k
Yihui Chen Switzerland 13 422 0.6× 380 0.6× 137 0.4× 36 0.1× 553 2.3× 36 894
Yijun Li China 17 1.1k 1.5× 288 0.4× 46 0.1× 198 0.5× 374 1.6× 39 1.6k
Ling Qin China 15 537 0.7× 568 0.9× 52 0.1× 65 0.2× 347 1.5× 62 1.1k
Andrew Lingley United States 8 400 0.5× 401 0.6× 113 0.3× 54 0.1× 77 0.3× 15 691
Giuseppe Massobrio Italy 14 994 1.3× 311 0.5× 472 1.3× 27 0.1× 206 0.9× 29 1.4k
H. Stiegler United States 16 710 1.0× 284 0.4× 65 0.2× 108 0.3× 119 0.5× 44 924

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-authorship network of co-authors of Massimo Barbaro

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Barbaro. A scholar is included among the top collaborators of Massimo Barbaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Barbaro. Massimo Barbaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barbaro, Massimo, et al.. (2025). Impedance Characterization and Modeling of Gold, Silver, and PEDOT:PSS Ultra-Thin Tattoo Electrodes for Wearable Bioelectronics. Sensors. 25(15). 4568–4568. 3 indexed citations
2.
Lezcano, María Florencia, Massimo Barbaro, Stefano Lai, et al.. (2025). Monolithic Biohybrid Flexure Mechanism Actuated by Bioengineered Skeletal Muscle Tissue. Advanced Intelligent Systems. 7(10). 2 indexed citations
3.
Panconesi, Rebecca, Chase J. Wehrle, Hiroshi Horie, et al.. (2025). Optical Spectroscopic Detection of Mitochondrial Biomarkers (FMN and NADH) for Hypothermic Oxygenated Machine Perfusion: A Comparative Study in Different Perfusion Media. Sensors. 25(13). 4031–4031. 1 indexed citations
4.
Paolini, R., et al.. (2025). Wearable Stimulator for Upper and Lower Limb Somatotopic Sensory Feedback Restoration. IEEE Transactions on Biomedical Circuits and Systems. 20(1). 95–106. 1 indexed citations
5.
Lezcano, María Florencia, Leonardo Ricotti, Lorenzo Vannozzi, et al.. (2025). Development of an electrical current stimulator for controlling biohybrid machines. Scientific Reports. 15(1). 22473–22473. 1 indexed citations
6.
7.
Čvančara, Paul, Giacomo Valle, Matthias Müller, et al.. (2023). Bringing sensation to prosthetic hands—chronic assessment of implanted thin-film electrodes in humans. npj Flexible Electronics. 7(1). 12 indexed citations
8.
Paolini, R., et al.. (2023). Wearable High Voltage Compliant Current Stimulator for Restoring Sensory Feedback. Micromachines. 14(4). 782–782. 9 indexed citations
9.
Spanu, Andrea, et al.. (2023). Wearable System Based on Ultra-Thin Parylene C Tattoo Electrodes for EEG Recording. Sensors. 23(2). 766–766. 19 indexed citations
10.
Solinas, Giuliana, Jaume del Valle, Massimo Barbaro, et al.. (2020). Systematic analysis of wavelet denoising methods for neural signal processing. Journal of Neural Engineering. 17(6). 66016–66016. 32 indexed citations
11.
Rivetti, Angelo, S. Cadeddu, A. Lai, et al.. (2020). The first ASIC prototype of a 28 nm time-space front-end electronics for real-time tracking. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 22–22. 4 indexed citations
12.
Vacca, Annalisa, et al.. (2014). Functionalization of polycrystalline gold through the electroreduction of aryldiazonium salts in ionic liquids. Chemical engineering transactions. 41. 79–84. 1 indexed citations
13.
Barbaro, Massimo, et al.. (2013). Prototype of a novel steady-state load identification technique for digitally controlled DC-DC power supplies. UNICA IRIS Institutional Research Information System (University of Cagliari). 355–356. 1 indexed citations
14.
Lai, Stefano, Andrea Spanu, Sérgio Martinoia, et al.. (2013). Charge sensing by organic charge-modulated field effect transistors: application to the detection of bio-related effects. Journal of Materials Chemistry B. 1(31). 3811–3811. 30 indexed citations
15.
Lai, Stefano, et al.. (2012). Ultralow Voltage, OTFT‐Based Sensor for Label‐Free DNA Detection. Advanced Materials. 25(1). 103–107. 107 indexed citations
16.
Lai, Stefano, et al.. (2012). An organic, charge-modulated field effect transistor for DNA detection. Sensors and Actuators B Chemical. 171-172. 198–203. 31 indexed citations
17.
Loi, Daniela, et al.. (2010). A PCB SYSTEM IMPLEMENTATION FOR NEURAL SIGNALS RECORDING AND PNS STIMULATION. UNICA IRIS Institutional Research Information System (University of Cagliari). 7(7). 135–140. 1 indexed citations
18.
Barbaro, Massimo, et al.. (2010). Active Devices Based on Organic Semiconductors for Wearable Applications. IEEE Transactions on Information Technology in Biomedicine. 14(3). 758–766. 47 indexed citations
19.
Manunza, I., et al.. (2006). Producing Smart Sensing Films by Means of Organic Field Effect Transistors. PubMed. 84. 4344–4346. 7 indexed citations
20.
Barbaro, Massimo, et al.. (2002). A 100×100 pixel silicon retina for gradient extraction with steering filter capabilities and temporal output coding. IEEE Journal of Solid-State Circuits. 37(2). 160–172. 49 indexed citations

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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