Luis Dinís
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- stochastic dynamics and bifurcation
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- Quantum Electrodynamics and Casimir Effect
Papers in
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- Advanced Thermodynamics and Statistical Mechanics 13
- stochastic dynamics and bifurcation 10
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- Nonlinear Dynamics and Pattern Formation 5
- Co-authors
- Juan M. R. Parrondo (14 shared papers)Raúl A. Rica (6 shared papers)Ignacio A. Martínez (6 shared papers)Édgar Roldán (6 shared papers)Francisco J. Cao (2 shared papers)Д. В. Петров (1 shared paper)Dmitri Petrov (1 shared paper)Valentina Galli (1 shared paper)
In The Last Decade
Luis Dinís
26 papers receiving 926 citations
Peers
Comparison fields: 5 of 97
- Statistical and Nonlinear Physics 613
- Atomic and Molecular Physics, and Optics 265
- Condensed Matter Physics 98
- Cell Biology 106
- Physical and Theoretical Chemistry 53
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Brownian Carnot engine | 2016 | 165 |
| 2 | 2012 | 146 | |
| 3 | 2016 | 139 | |
| 4 | 2004 | 107 | |
| 5 | 2015 | 83 | |
| 6 | 2003 | 33 | |
| 7 | 2005 | 31 | |
| 8 | 2021 | 28 | |
| 9 | 2012 | 26 | |
| 10 | 2008 | 21 | |
| 11 | 2004 | 20 | |
| 12 | 2007 | 17 | |
| 13 | 2007 | 16 | |
| 14 | 2016 | 16 | |
| 15 | 2008 | 14 | |
| 16 | 2009 | 13 | |
| 17 | 2007 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2009 | 7 |
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 27 papers that have together received 938 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (13 papers), stochastic dynamics and bifurcation (10 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Field-Flow Fractionation Techniques (4 papers), Complex Systems and Time Series Analysis (4 papers), Ecosystem dynamics and resilience (3 papers), Economic theories and models (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (613 citations), Atomic and Molecular Physics, and Optics (265 citations), Condensed Matter Physics (98 citations), Cell Biology (106 citations) and Physical and Theoretical Chemistry (53 citations). Luis Dinís has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include Juan M. R. Parrondo, Raúl A. Rica, Ignacio A. Martínez, Édgar Roldán, Francisco J. Cao, Д. В. Петров, Dmitri Petrov, Valentina Galli, Martin Lenz and Marius Klein. Their work appears in journals such as Physical Review Letters, Europhysics Letters (EPL), Physica A Statistical Mechanics and its Applications, New Journal of Physics and The European Physical Journal Special Topics.
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.