Ignacio Muga
Impact in
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
- Numerical Analysis top 10%
- Numerical methods for differential equations
Papers in
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- Numerical methods in inverse problems 8
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- Advanced Numerical Methods in Computational Mathematics 18
- Advanced Numerical Analysis Techniques 6
- Co-authors
- David PardoJay GopalakrishnanVictor M. CaloLeszek DemkowiczMario DuránJean-Claude NédélecSergio RojasKristoffer G. van der Zee
In The Last Decade
Ignacio Muga
33 papers receiving 386 citations
Peers
Comparison fields: 5 of 38
- Computational Mechanics 254
- Numerical Analysis 65
- Computational Theory and Mathematics 115
- Statistical and Nonlinear Physics 84
- Mechanics of Materials 160
Countries citing papers authored by Ignacio Muga
This map shows the geographic impact of Ignacio Muga'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 Ignacio Muga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Muga more than expected).
Fields of papers citing papers by Ignacio Muga
This network shows the impact of papers produced by Ignacio Muga. 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 Ignacio Muga. The network helps show where Ignacio Muga may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Ignacio Muga, 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 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2015 | 2 | |
| 15 | 2014 | 17 | |
| 16 | 2011 | 8 | |
| 17 | 2010 | 79 | |
| 18 | 2009 | 1 | |
| 19 | 2005 | 7 | |
| 20 | 2005 | 9 |
About Ignacio Muga
Ignacio Muga is a scholar working on Mathematical Physics, Computational Mechanics, Numerical Analysis, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 36 papers that have together received 407 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (18 papers), Numerical methods in engineering (11 papers), Electromagnetic Simulation and Numerical Methods (10 papers), Advanced Mathematical Modeling in Engineering (8 papers), Model Reduction and Neural Networks (8 papers), Numerical methods in inverse problems (8 papers), Advanced Numerical Analysis Techniques (6 papers) and Geophysical Methods and Applications (5 papers). The work is most often cited by research in Computational Mechanics (254 citations), Numerical Analysis (65 citations), Computational Theory and Mathematics (115 citations), Statistical and Nonlinear Physics (84 citations) and Mechanics of Materials (160 citations). Ignacio Muga has collaborated with scholars based in Chile, Spain and France. Frequent co-authors include David Pardo, Jay Gopalakrishnan, Victor M. Calo, Leszek Demkowicz, Mario Durán, Jean-Claude Nédélec, Sergio Rojas, Kristoffer G. van der Zee, Maciej Paszyński and Alexandre Ern. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computers & Mathematics with Applications, Comptes Rendus Mathématique, Journal of Computational Physics and Numerische Mathematik.
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.