C. A. Condat
Impact in
- Acoustics and Ultrasonics top 2%
- Random lasers and scattering media
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
Papers in
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- Random lasers and scattering media 7
-
- Mathematical Biology Tumor Growth 20
- Co-authors
- T. R. KirkpatrickM. ScalerandiG. J. SibonaR. A. GuyerJ. JäckleP. P. DelsantoMichael David MillerBarbara Capogrosso-Sansone
- Journals
- Physical review. B, Condensed matter (13 papers)Physica A Statistical Mechanics and its Applications (8 papers)Journal of Theoretical Biology (6 papers)Physical Review Letters (5 papers)Ecological Modelling (3 papers)
- Partner nations
- ArgentinaPuerto RicoUnited States
In The Last Decade
C. A. Condat
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Acoustics and Ultrasonics 115
- Modeling and Simulation 267
- Condensed Matter Physics 281
- Statistical and Nonlinear Physics 278
- Atomic and Molecular Physics, and Optics 289
Countries citing papers authored by C. A. Condat
This map shows the geographic impact of C. A. Condat'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 C. A. Condat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. A. Condat more than expected).
Fields of papers citing papers by C. A. Condat
This network shows the impact of papers produced by C. A. Condat. 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 C. A. Condat. The network helps show where C. A. Condat may publish in the future.
Co-authors
The 25 scholars most cited alongside C. A. Condat, 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 | 2023 | 1 | |
| 2 | 2014 | 5 | |
| 3 | 2014 | 74 | |
| 4 | 2013 | 16 | |
| 5 | 2012 | 3 | |
| 6 | 2009 | 9 | |
| 7 | 2009 | 2 | |
| 8 | 2008 | 22 | |
| 9 | 2007 | 31 | |
| 10 | 2005 | 10 | |
| 11 | 2005 | 20 | |
| 12 | 2002 | 21 | |
| 13 | 2002 | 10 | |
| 14 | Modeling Cancer Growth | 2001 | 14 |
| 15 | 2001 | 12 | |
| 16 | 2001 | 25 | |
| 17 | 1999 | 1 | |
| 18 | 1993 | 31 | |
| 19 | 1991 | 7 | |
| 20 | 1983 | 88 |
About C. A. Condat
C. A. Condat is a scholar working on Acoustics and Ultrasonics, Modeling and Simulation, Statistical and Nonlinear Physics, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (20 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Cancer Cells and Metastasis (10 papers), Theoretical and Computational Physics (8 papers), Quantum, superfluid, helium dynamics (8 papers), Random lasers and scattering media (7 papers), Micro and Nano Robotics (7 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (115 citations), Modeling and Simulation (267 citations), Condensed Matter Physics (281 citations), Statistical and Nonlinear Physics (278 citations) and Atomic and Molecular Physics, and Optics (289 citations). C. A. Condat has collaborated with scholars based in Argentina, Puerto Rico and United States. Frequent co-authors include T. R. Kirkpatrick, M. Scalerandi, G. J. Sibona, R. A. Guyer, J. Jäckle, P. P. Delsanto, Michael David Miller, Barbara Capogrosso-Sansone, L. D. Valdez and A. Romano. Their work appears in journals such as Physical review. B, Condensed matter, Physica A Statistical Mechanics and its Applications, Journal of Theoretical Biology, Physical Review Letters and Ecological Modelling.
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.