C. A. Vargas
- Atomic and Molecular Physics, and Optics
- Statistical and Nonlinear Physics top 10%
- Geophysics top 10%
- Artificial Intelligence
- Computational Mechanics
- Co-authors
- A. L. Salas‐BritoLeonardo Di G. SigalottiAlejandro Ramírez-RojasH. N. Núñez‐YépezElsa Leticia Flores-MárquezLuís VicenteDavid M. LawrenceAdrian J. Boyce
- Topics
- Metamaterials and Metasurfaces Applications (6 papers)Microwave Imaging and Scattering Analysis (6 papers)Earthquake Detection and Analysis (4 papers)
In The Last Decade
C. A. Vargas
39 papers receiving 274 citations
Peers
Comparison fields: 5 of 72
- Atomic and Molecular Physics, and Optics 80
- Statistical and Nonlinear Physics 79
- Geophysics 75
- Artificial Intelligence 55
- Computational Mechanics 36
Countries citing papers authored by C. A. Vargas
This map shows the geographic impact of C. A. Vargas'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. Vargas 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. Vargas more than expected).
Fields of papers citing papers by C. A. Vargas
This network shows the impact of papers produced by C. A. Vargas. 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. Vargas. The network helps show where C. A. Vargas may publish in the future.
Co-authorship network of co-authors of C. A. Vargas
This figure shows the co-authorship network connecting the top 25 collaborators of C. A. Vargas. A scholar is included among the top collaborators of C. A. Vargas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. A. Vargas. C. A. Vargas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 20 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | On the mass flow rate from silos with lateral exit holes | 2 |
| 14 | Negative refractive index in split ring resonators | 4 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 29 | |
| 19 | Electric and magnetic four-vectors in classical electrodynamics | 10 |
| 20 | 15 |
About C. A. Vargas
C. A. Vargas is a scholar working on Statistical and Nonlinear Physics, Geophysics and Computational Mechanics, having authored 42 papers that have together received 292 indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (6 papers), Microwave Imaging and Scattering Analysis (6 papers) and Earthquake Detection and Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (79 citations), Geophysics (75 citations) and Atomic and Molecular Physics, and Optics (80 citations). C. A. Vargas has collaborated with scholars based in Mexico, Venezuela and Spain. Frequent co-authors include A. L. Salas‐Brito, Leonardo Di G. Sigalotti, Alejandro Ramírez-Rojas, H. N. Núñez‐Yépez, Elsa Leticia Flores-Márquez, Luís Vicente, David M. Lawrence, Adrian J. Boyce, Luciano Telesca and Peter J. Treloar. Their work appears in journals such as Physical Chemistry Chemical Physics, Physics Letters A and Physica A Statistical Mechanics and its Applications.
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.