Javier Muñoz-García
- Computational Mechanics top 1%
- Ion-surface interactions and analysis 27
- Structural Biology top 10%
- Materials Chemistry top 10%
- Diamond and Carbon-based Materials Research 16
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- Integrated Circuits and Semiconductor Failure Analysis 16
- Surfaces, Coatings and Films top 10%
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- Force Microscopy Techniques and Applications 6
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- Gene Regulatory Network Analysis 3
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- nanoparticles nucleation surface interactions 3
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- Theoretical and Computational Physics 3
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- Slime Mold and Myxomycetes Research 3
- Co-authors
- Rodolfo CuernoMario CastroL. VázquezR. GagoA. Redondo‐CuberoBoris Ν. KholodenkoSaúl AresZoltán Neufeld
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- SpainIrelandUnited States
In The Last Decade
Javier Muñoz-García
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Computational Mechanics 845
- Structural Biology 22
- Materials Chemistry 554
- Electrical and Electronic Engineering 620
- Surfaces, Coatings and Films 42
Countries citing papers authored by Javier Muñoz-García
This map shows the geographic impact of Javier Muñoz-García'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 Javier Muñoz-García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Muñoz-García more than expected).
Fields of papers citing papers by Javier Muñoz-García
This network shows the impact of papers produced by Javier Muñoz-García. 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 Javier Muñoz-García. The network helps show where Javier Muñoz-García may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Muñoz-García, 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 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2020 | 11 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 9 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 14 | |
| 10 | Generic equations for pattern formation in evolving interfaces | 2016 | 4 |
| 11 | 2016 | 15 | |
| 12 | 2015 | 8 | |
| 13 | 2012 | 21 | |
| 14 | 2011 | 29 | |
| 15 | 2010 | 5 | |
| 16 | 2009 | 37 | |
| 17 | 2009 | 29 | |
| 18 | 2009 | 2 | |
| 19 | 2007 | 1 | |
| 20 | 2006 | 34 |
About Javier Muñoz-García
Javier Muñoz-García is a scholar working on Computational Mechanics, Structural Biology and Aging, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (27 papers), Diamond and Carbon-based Materials Research (16 papers), Integrated Circuits and Semiconductor Failure Analysis (16 papers), Force Microscopy Techniques and Applications (6 papers), Gene Regulatory Network Analysis (3 papers), nanoparticles nucleation surface interactions (3 papers), Theoretical and Computational Physics (3 papers) and Slime Mold and Myxomycetes Research (3 papers). The work is most often cited by research in Computational Mechanics (845 citations), Structural Biology (22 citations) and Materials Chemistry (554 citations). Javier Muñoz-García has collaborated with scholars based in Spain, Ireland and United States. Frequent co-authors include Rodolfo Cuerno, Mario Castro, L. Vázquez, R. Gago, A. Redondo‐Cubero, Boris Ν. Kholodenko, Saúl Ares, Zoltán Neufeld, J. A. Sánchez-García and J.-S. Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.