R. Silva
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Statistical Mechanics and Entropy
- Advanced Thermodynamics and Statistical Mechanics
- Geophysics top 5%
- Earthquake Detection and Analysis
Papers in
-
- Statistical Mechanics and Entropy 37
- Advanced Thermodynamics and Statistical Mechanics 20
-
- Cosmology and Gravitation Theories 24
- Galaxies: Formation, Evolution, Phenomena 14
- Co-authors
- J. A. S. Lima (14 shared papers)J. S. Alcaniz (30 shared papers)A. Plastino (2 shared papers)George Sand França (6 shared papers)D.H.A.L. Anselmo (18 shared papers)J. Santos (1 shared paper)Zong‐Hong Zhu (2 shared papers)Edésio M. Barboza (1 shared paper)
In The Last Decade
R. Silva
76 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 1.3k
- Geophysics 610
- Astronomy and Astrophysics 751
- Modeling and Simulation 204
- Nuclear and High Energy Physics 330
Countries citing papers authored by R. Silva
This map shows the geographic impact of R. Silva'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 R. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Silva more than expected).
Fields of papers citing papers by R. Silva
This network shows the impact of papers produced by R. Silva. 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 R. Silva. The network helps show where R. Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Silva, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 383 | |
| 2 | 1998 | 333 | |
| 3 | 2001 | 158 | |
| 4 | 2006 | 133 | |
| 5 | 2002 | 70 | |
| 6 | 2005 | 69 | |
| 7 | 2006 | 68 | |
| 8 | 2009 | 60 | |
| 9 | 2006 | 56 | |
| 10 | 2003 | 53 | |
| 11 | 2010 | 44 | |
| 12 | 2007 | 38 | |
| 13 | 2005 | 34 | |
| 14 | 2004 | 33 | |
| 15 | 2021 | 27 | |
| 16 | 2013 | 27 | |
| 17 | 2010 | 26 | |
| 18 | 2005 | 26 | |
| 19 | 2005 | 24 | |
| 20 | 2006 | 24 |
About R. Silva
R. Silva is a scholar working on Statistical and Nonlinear Physics, Astronomy and Astrophysics, Economics and Econometrics, Nuclear and High Energy Physics and Molecular Biology, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (37 papers), Complex Systems and Time Series Analysis (25 papers), Cosmology and Gravitation Theories (24 papers), Advanced Thermodynamics and Statistical Mechanics (20 papers), Galaxies: Formation, Evolution, Phenomena (14 papers), Fractal and DNA sequence analysis (13 papers), Black Holes and Theoretical Physics (11 papers) and Fractional Differential Equations Solutions (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Geophysics (610 citations), Astronomy and Astrophysics (751 citations), Modeling and Simulation (204 citations) and Nuclear and High Energy Physics (330 citations). R. Silva has collaborated with scholars based in Brazil, Italy and Argentina. Frequent co-authors include J. A. S. Lima, J. S. Alcaniz, A. Plastino, George Sand França, D.H.A.L. Anselmo, J. Santos, Zong‐Hong Zhu, Edésio M. Barboza, J. D. do Nascimento and J. R. De Medeiros. Their work appears in journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications, Europhysics Letters (EPL), The European Physical Journal C and Chaos Solitons & Fractals.
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.