José A. Garrido
- Bioengineering top 0.2%
- Analytical Chemistry and Sensors 23
- Materials Chemistry top 1%
- Diamond and Carbon-based Materials Research 60
- Graphene research and applications 33
- Condensed Matter Physics top 2%
- GaN-based semiconductor devices and materials 23
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- Semiconductor materials and devices 28
- Advanced Memory and Neural Computing 19
- Surfaces, Coatings and Films top 2%
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- Neuroscience and Neural Engineering 29
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- Force Microscopy Techniques and Applications 25
José A. Garrido
182 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 137
- Bioengineering 701
- Materials Chemistry 4.1k
- Condensed Matter Physics 782
- Electrical and Electronic Engineering 2.9k
- Surfaces, Coatings and Films 312
Countries citing papers authored by José A. Garrido
This map shows the geographic impact of José A. Garrido'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 José A. Garrido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José A. Garrido more than expected).
Fields of papers citing papers by José A. Garrido
This network shows the impact of papers produced by José A. Garrido. 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 José A. Garrido. The network helps show where José A. Garrido may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José A. Garrido, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 8 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 67 | |
| 11 | 2020 | 26 | |
| 12 | 2018 | 123 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 91 | |
| 15 | 2016 | 24 | |
| 16 | 2014 | 62 | |
| 17 | EL SISTEMA DE GESTIÓN DE LA CALIDAD EN LA FACULTAD DE QUÍMICA DE LA UNIVERSITAT DE BARCELONA | 2012 | 0 |
| 18 | 2011 | 28 | |
| 19 | 2008 | 136 | |
| 20 | Aspectos numéricos de la aplicación del método de los elementos de contorno al problema de contacto | 1986 | 1 |
About José A. Garrido
José A. Garrido is a scholar working on Bioengineering, Materials Chemistry and Condensed Matter Physics, having authored 189 papers that have together received 7.0k indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (60 papers), Graphene research and applications (33 papers), Neuroscience and Neural Engineering (29 papers), Semiconductor materials and devices (28 papers), Force Microscopy Techniques and Applications (25 papers), Analytical Chemistry and Sensors (23 papers), GaN-based semiconductor devices and materials (23 papers) and Advanced Memory and Neural Computing (19 papers). The work is most often cited by research in Bioengineering (701 citations), Materials Chemistry (4.1k citations) and Condensed Matter Physics (782 citations). José A. Garrido has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include M. Stutzmann, Lucas H. Hess, Max Seifert, Moritz V. Hauf, Andreas Härtl, Oliver A. Williams, Markus Dankerl, Martin Eickhoff, D. Steinmüller and E. Muñoz. Their work appears in journals such as Applied Physics Letters, Diamond and Related Materials, Nano Letters, Langmuir and Journal of Applied Physics.
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.