José A. Garrido

12.6k total citations
189 papers, 7.0k citations indexed

About

José A. Garrido is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, José A. Garrido has authored 189 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Materials Chemistry, 80 papers in Electrical and Electronic Engineering and 44 papers in Biomedical Engineering. Recurrent topics in José A. Garrido's work include Diamond and Carbon-based Materials Research (60 papers), Graphene research and applications (33 papers) and Neuroscience and Neural Engineering (29 papers). José A. Garrido is often cited by papers focused on Diamond and Carbon-based Materials Research (60 papers), Graphene research and applications (33 papers) and Neuroscience and Neural Engineering (29 papers). José A. Garrido collaborates with scholars based in Germany, Spain and France. José A. Garrido's co-authors include M. Stutzmann, Max Seifert, Lucas H. Hess, Moritz V. Hauf, Andreas Härtl, Oliver A. Williams, Markus Dankerl, Martin Eickhoff, D. Steinmüller and E. Muñoz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

José A. Garrido

182 papers receiving 6.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José A. Garrido Germany 46 4.1k 2.9k 1.8k 1.2k 922 189 7.0k
Alberto Piqué United States 49 3.6k 0.9× 5.0k 1.7× 3.1k 1.7× 654 0.5× 696 0.8× 212 9.1k
Oliver A. Williams United Kingdom 44 4.9k 1.2× 1.9k 0.7× 1.5k 0.8× 1.6k 1.3× 1.9k 2.1× 189 6.4k
Jie Han United States 54 8.8k 2.2× 4.8k 1.6× 3.9k 2.2× 2.1k 1.7× 311 0.3× 100 12.2k
Chao‐Nan Xu Japan 52 8.2k 2.0× 4.9k 1.7× 4.2k 2.3× 892 0.7× 394 0.4× 302 11.1k
Alan M. Cassell United States 41 8.8k 2.2× 3.3k 1.1× 3.3k 1.8× 1.5k 1.2× 301 0.3× 131 11.7k
Andrew J. Flewitt United Kingdom 41 2.4k 0.6× 3.2k 1.1× 3.0k 1.7× 777 0.6× 513 0.6× 191 5.9k
Changzhi Gu China 50 4.3k 1.1× 4.0k 1.4× 3.1k 1.7× 1.8k 1.4× 421 0.5× 347 9.5k
Lih‐Juann Chen Taiwan 52 6.5k 1.6× 5.6k 1.9× 3.9k 2.2× 1.5k 1.2× 220 0.2× 182 11.1k
Toyohiro Chikyow Japan 44 6.4k 1.6× 5.2k 1.8× 782 0.4× 1.3k 1.0× 266 0.3× 381 9.3k
Sumeet Walia Australia 49 4.9k 1.2× 4.5k 1.5× 1.6k 0.9× 536 0.4× 135 0.1× 182 8.1k

Countries citing papers authored by José A. Garrido

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of José A. Garrido

This figure shows the co-authorship network connecting the top 25 collaborators of José A. Garrido. A scholar is included among the top collaborators of José A. Garrido 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 José A. Garrido. José A. Garrido 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.
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Garcia‐Cortadella, Ramon, et al.. (2025). Physics-Based Compact Modeling for the Drain Current Variability in Single-Layer Graphene FETs. IEEE Transactions on Electron Devices. 72(6). 3314–3321. 2 indexed citations
3.
Masvidal‐Codina, Eduard, Xavi Illa, Anton Guimerà‐Brunet, et al.. (2025). Flexible graphene-based neurotechnology for high-precision deep brain mapping and neuromodulation in Parkinsonian rats. Nature Communications. 16(1). 2891–2891. 8 indexed citations
4.
Valle, Jaume del, et al.. (2024). Engineered Graphene Material Improves the Performance of Intraneural Peripheral Nerve Electrodes. Advanced Science. 11(29). e2308689–e2308689. 6 indexed citations
5.
Lounasvuori, Mailis, José Santiso, Catherine Debiemme‐Chouvy, et al.. (2024). On the Electrochemical Activation of Nanoporous Reduced Graphene Oxide Electrodes Studied by In Situ/Operando Electrochemical Techniques. Advanced Functional Materials. 34(46). 8 indexed citations
6.
7.
Alam, Md. Hasibul, Anton Guimerà‐Brunet, Javier Martı̂nez, et al.. (2023). Physics-based bias-dependent compact modeling of 1/f noise in single- to few-layer 2D-FETs. Nanoscale. 15(14). 6853–6863. 3 indexed citations
8.
Sagliano, Marco, et al.. (2022). Structured Robust Control for the Aerodynamic Steering of Reusable Rockets. IFAC-PapersOnLine. 55(25). 31–36. 3 indexed citations
9.
Corro, Elena del, Marius V. Costache, Juan F. Sierra, et al.. (2021). Heat dissipation in few-layer MoS 2 and MoS 2 /hBN heterostructure. 2D Materials. 9(1). 15005–15005. 13 indexed citations
10.
Garcia‐Cortadella, Ramon, Xavi Illa, Anna L. Gray, et al.. (2021). Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity. Nature Communications. 12(1). 211–211. 67 indexed citations
11.
Schaefer, Nathan, Ramon Garcia‐Cortadella, Xavi Illa, et al.. (2020). Multiplexed neural sensor array of graphene solution-gated field-effect transistors. 2D Materials. 7(2). 25046–25046. 26 indexed citations
12.
Giugliano, Michèle, Alessia Matruglio, Francesco D’Amico, et al.. (2018). Single-layer graphene modulates neuronal communication and augments membrane ion currents. Nature Nanotechnology. 13(8). 755–764. 123 indexed citations
13.
Giugliano, Michèle, Alessia Matruglio, Francesco D’Amico, et al.. (2018). Single Layer Graphene Promotes Neuronal Activity by Regulating Potassium Ion Channels in Cultured Neuronal Networks. Biophysical Journal. 114(3). 393a–393a. 1 indexed citations
14.
Hébert, Clément, Eduard Masvidal‐Codina, Andrea Bonaccini Calia, et al.. (2017). Flexible Graphene Solution‐Gated Field‐Effect Transistors: Efficient Transducers for Micro‐Electrocorticography. Advanced Functional Materials. 28(12). 91 indexed citations
15.
Drieschner, Simon, et al.. (2016). THz-circuits driven by photo-thermoelectric, gate-tunable graphene-junctions. Scientific Reports. 6(1). 35654–35654. 24 indexed citations
16.
Giménez, Jaime, R. Companyó, M. Cruells, et al.. (2012). EL SISTEMA DE GESTIÓN DE LA CALIDAD EN LA FACULTAD DE QUÍMICA DE LA UNIVERSITAT DE BARCELONA. 1(1).
17.
Horinek, Dominik, Andreas Serr, Michael Geisler, et al.. (2008). Peptide adsorption on a hydrophobic surface results from an interplay of solvation, surface, and intrapeptide forces. Proceedings of the National Academy of Sciences. 105(8). 2842–2847. 136 indexed citations
18.
Tajani, A., E. Gheeraert, N. Casanova, et al.. (2002). Characterization of n-Type Doped Homoepitaxial Diamond Thin Films. physica status solidi (a). 193(3). 541–545. 21 indexed citations
19.
Parı́s, F. & José A. Garrido. (1986). Aspectos numéricos de la aplicación del método de los elementos de contorno al problema de contacto. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 2(1). 43–62. 1 indexed citations
20.
Lorenzana, A., José A. Garrido, & Isabel M. Prieto. (1970). A Boundary Element Approach For Contact ProblemsInvolving Large Displacements. WIT transactions on modelling and simulation. 15.

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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