David Yllanes
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Theoretical and Computational Physics
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- Advanced Thermodynamics and Statistical Mechanics
- Complex Network Analysis Techniques
Papers in
-
- Theoretical and Computational Physics 10
- Micro and Nano Robotics 7
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- Complex Network Analysis Techniques 6
- Co-authors
- M. Cristina Marchetti (5 shared papers)Adam Patch (4 shared papers)Silke Henkes (2 shared papers)Yaouen Fily (2 shared papers)Renato Portugal (1 shared paper)José M. Martín-García (1 shared paper)V. Martı́n-Mayor (9 shared papers)L. A. Fernández (6 shared papers)
- Journals
- Scientific Reports (3 papers)Physical Review B (3 papers)Physical review. E (3 papers)Physical Biology (2 papers)Journal of Statistical Physics (2 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
David Yllanes
28 papers receiving 522 citations
Peers
Comparison fields: 5 of 64
- Condensed Matter Physics 352
- Statistical and Nonlinear Physics 191
- Modeling and Simulation 19
- Nuclear and High Energy Physics 49
- Computational Mathematics 2
Countries citing papers authored by David Yllanes
This map shows the geographic impact of David Yllanes'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 David Yllanes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yllanes more than expected).
Fields of papers citing papers by David Yllanes
This network shows the impact of papers produced by David Yllanes. 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 David Yllanes. The network helps show where David Yllanes may publish in the future.
Co-authors
The 25 scholars most cited alongside David Yllanes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 130 | |
| 2 | 2019 | 68 | |
| 3 | 2008 | 63 | |
| 4 | 2009 | 40 | |
| 5 | 2017 | 38 | |
| 6 | 2017 | 33 | |
| 7 | 2019 | 26 | |
| 8 | 2017 | 22 | |
| 9 | 2011 | 15 | |
| 10 | 2008 | 14 | |
| 11 | 2014 | 12 | |
| 12 | 2011 | 9 | |
| 13 | 2011 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2009 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 3 |
About David Yllanes
David Yllanes is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Economics and Econometrics, Materials Chemistry and Modeling and Simulation, having authored 28 papers that have together received 528 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (10 papers), Micro and Nano Robotics (7 papers), Complex Network Analysis Techniques (6 papers), Complex Systems and Time Series Analysis (6 papers), COVID-19 epidemiological studies (4 papers), Material Dynamics and Properties (3 papers), Plant Virus Research Studies (3 papers) and Advanced Materials and Mechanics (2 papers). The work is most often cited by research in Condensed Matter Physics (352 citations), Statistical and Nonlinear Physics (191 citations), Modeling and Simulation (19 citations), Nuclear and High Energy Physics (49 citations) and Computational Mathematics (2 citations). David Yllanes has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include M. Cristina Marchetti, Adam Patch, Silke Henkes, Yaouen Fily, Renato Portugal, José M. Martín-García, V. Martı́n-Mayor, L. A. Fernández, Marco Leoni and Joshua W. Shaevitz. Their work appears in journals such as Scientific Reports, Physical Review B, Physical review. E, Physical Biology and Journal of Statistical 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.