Marc Ferro

1.7k citations
12 papers · 1.4k · 1 hit paper · h-index 10

Impact in

Papers in

Marc Ferro

12 papers receiving 1.4k citations

Marc Ferro's Hit Papers

High-performance transistors for bioelectronics through tuning of channel thickness 2015 · 592 citations
5920+3+7Years since publication100200300400500

Peers

Marc Ferro
Comparison fields: 5 of 62
  • Polymers and Plastics 1.0k
  • Bioengineering 322
  • Cellular and Molecular Neuroscience 389
  • Electrical and Electronic Engineering 843
  • Electrochemistry 83
Replace Ilke Uguz with:
Ilke Uguz United States
Dimitrios A. Koutsouras Germany
Erik O. Gabrielsson Sweden
Loïg Kergoat France
Mary J. Donahue Sweden
Thomas Doublet France
Giuseppe Tarabella Italy
Marta Tessarolo Italy
Xudong Ji United States
Deyu Tu Sweden
Marc Ferro relative to Ilke Uguz United States Ilke Uguz's profile →
Citations per field
00.5×1.5×2.4×
Ilke Uguz · 1×
Citations per year

Countries citing papers authored by Marc Ferro

Since Specialization
Citations

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

Fields of papers citing papers by Marc Ferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
High-performance transistors for bioelectronics through tuning of channel thickness
Hit paper breakdown →
2015592
2 2014169
3 2017139
4 2015136
5 2015130
6 201777
7 201673
8 202048
9 201811
10 20249
11 20155
12 20203

About Marc Ferro

Marc Ferro is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics, Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Conducting polymers and applications (7 papers), Neuroscience and Neural Engineering (6 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (2 papers), Analytical Chemistry and Sensors (2 papers), Photoreceptor and optogenetics research (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Adhesion, Friction, and Surface Interactions (1 paper). The work is most often cited by research in Polymers and Plastics (1.0k citations), Bioengineering (322 citations), Cellular and Molecular Neuroscience (389 citations), Electrical and Electronic Engineering (843 citations) and Electrochemistry (83 citations). Marc Ferro has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include George G. Malliaras, Jonathan Rivnay, P. Leleux, Róisı́n M. Owens, Adam Williamson, Christophe Bernard, Marc Ramuz, Dimitrios A. Koutsouras, Xenofon Strakosas and Jean‐Michel Badier. Their work appears in journals such as Advanced Materials, Advanced Functional Materials, Journal of Applied Polymer Science, Science Advances and AIP Advances.

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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