Luis Dinís
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- stochastic dynamics and bifurcation
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
Papers in
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- Advanced Thermodynamics and Statistical Mechanics 12
- stochastic dynamics and bifurcation 10
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- Nonlinear Dynamics and Pattern Formation 5
- Co-authors
- Juan M. R. Parrondo (13 shared papers)Ignacio A. Martínez (5 shared papers)Raúl A. Rica (5 shared papers)Édgar Roldán (5 shared papers)Francisco J. Cao (2 shared papers)Dmitri Petrov (1 shared paper)Nicolas Chiaruttini (1 shared paper)Martin Lenz (1 shared paper)
In The Last Decade
Luis Dinís
25 papers receiving 739 citations
Peers
Comparison fields: 5 of 91
- Statistical and Nonlinear Physics 454
- Condensed Matter Physics 80
- Cell Biology 108
- Atomic and Molecular Physics, and Optics 191
- General Decision Sciences 8
Countries citing papers authored by Luis Dinís
This map shows the geographic impact of Luis Dinís'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 Luis Dinís with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Dinís more than expected).
Fields of papers citing papers by Luis Dinís
This network shows the impact of papers produced by Luis Dinís. 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 Luis Dinís. The network helps show where Luis Dinís may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis Dinís, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 143 | |
| 2 | 2016 | 133 | |
| 3 | 2004 | 101 | |
| 4 | 2015 | 78 | |
| 5 | 2003 | 33 | |
| 6 | 2005 | 31 | |
| 7 | 2021 | 28 | |
| 8 | 2012 | 25 | |
| 9 | 2008 | 21 | |
| 10 | 2004 | 20 | |
| 11 | 2016 | 16 | |
| 12 | 2007 | 16 | |
| 13 | 2007 | 15 | |
| 14 | 2008 | 14 | |
| 15 | 2009 | 13 | |
| 16 | 2007 | 11 | |
| 17 | 2020 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2009 | 7 | |
| 20 | 2015 | 6 |
About Luis Dinís
Luis Dinís is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 26 papers that have together received 749 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (12 papers), stochastic dynamics and bifurcation (10 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Complex Systems and Time Series Analysis (4 papers), Field-Flow Fractionation Techniques (3 papers), Ecosystem dynamics and resilience (3 papers), Physics of Superconductivity and Magnetism (2 papers) and Economic theories and models (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (454 citations), Condensed Matter Physics (80 citations), Cell Biology (108 citations), Atomic and Molecular Physics, and Optics (191 citations) and General Decision Sciences (8 citations). Luis Dinís has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include Juan M. R. Parrondo, Ignacio A. Martínez, Raúl A. Rica, Édgar Roldán, Francisco J. Cao, Dmitri Petrov, Nicolas Chiaruttini, Martin Lenz, Aurélien Roux and Sandrine Morlot. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physical Review Letters, Europhysics Letters (EPL), New Journal of Physics and Frontiers in Microbiology.
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.