What is he best known for?
The fields of study he is best known for:
- Semiconductor
- Optics
- Electrical engineering
Optoelectronics, Thin film, Thin-film transistor, Sputter deposition and Amorphous solid are his primary areas of study.
He has included themes like Field-effect transistor, Transistor, Gate dielectric and Amorphous silicon in his Optoelectronics study.
In Transistor, he works on issues like Flexible electronics, which are connected to Wide-bandgap semiconductor.
His work deals with themes such as Doping, Electrical resistivity and conductivity, Mineralogy and Analytical chemistry, which intersect with Thin film.
His studies deal with areas such as High-κ dielectric, Dielectric, Oxide, Semiconductor and Threshold voltage as well as Thin-film transistor.
His Amorphous solid study integrates concerns from other disciplines, such as Saturation, Partial pressure and Voltage.
His most cited work include:
- Oxide Semiconductor Thin‐Film Transistors: A Review of Recent Advances (1789 citations)
- Wide-bandgap high-mobility ZnO thin-film transistors produced at room temperature (1441 citations)
- Fully Transparent ZnO Thin‐Film Transistor Produced at Room Temperature (761 citations)
What are the main themes of his work throughout his whole career to date?
Rodrigo Martins mainly investigates Optoelectronics, Thin film, Analytical chemistry, Amorphous silicon and Nanotechnology.
The Optoelectronics study combines topics in areas such as Amorphous solid, Transistor, Oxide and Thin-film transistor.
His Thin-film transistor research is multidisciplinary, relying on both Threshold voltage, Gate dielectric, Electron mobility and Dielectric.
His studies in Thin film integrate themes in fields like Electrical resistivity and conductivity, Doping and Silicon.
The various areas that Rodrigo Martins examines in his Analytical chemistry study include Indium, Chemical vapor deposition, Annealing, Substrate and Band gap.
His Amorphous silicon research is multidisciplinary, incorporating elements of Detector and Optics.
He most often published in these fields:
- Optoelectronics (38.92%)
- Thin film (31.96%)
- Analytical chemistry (21.58%)
What were the highlights of his more recent work (between 2015-2021)?
- Optoelectronics (38.92%)
- Nanotechnology (14.50%)
- Thin film (31.96%)
In recent papers he was focusing on the following fields of study:
Rodrigo Martins focuses on Optoelectronics, Nanotechnology, Thin film, Oxide and Thin-film transistor.
His Optoelectronics study combines topics from a wide range of disciplines, such as Photovoltaics and Transistor.
His study focuses on the intersection of Transistor and fields such as Logic gate with connections in the field of Voltage.
His Thin film research includes elements of Solar cell, Annealing, Grain boundary and Analytical chemistry.
The concepts of his Oxide study are interwoven with issues in Memristor, Metal and Band gap.
His work in Thin-film transistor tackles topics such as Electron mobility which are related to areas like High-κ dielectric.
Between 2015 and 2021, his most popular works were:
- The 2016 oxide electronic materials and oxide interfaces roadmap (184 citations)
- Towards Oxide Electronics: a Roadmap (102 citations)
- Solution Combustion Synthesis: Low-Temperature Processing for p-Type Cu:NiO Thin Films for Transparent Electronics. (81 citations)
In his most recent research, the most cited papers focused on:
- Semiconductor
- Optics
- Electrical engineering
Rodrigo Martins mostly deals with Optoelectronics, Nanotechnology, Thin film, Thin-film transistor and Annealing.
His Optoelectronics research integrates issues from Transistor, Gate dielectric and Oxide.
His biological study spans a wide range of topics, including Zinc and Chemical engineering.
His research in Thin film is mostly concerned with Sputtering.
Rodrigo Martins interconnects Low voltage, High-κ dielectric, Dielectric, Electron mobility and Threshold voltage in the investigation of issues within Thin-film transistor.
His research integrates issues of Amorphous solid and Passivation in his study of Semiconductor.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
