Marcos G. Quiles
- Materials Chemistry
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Co-authors
- Liang ZhaoJuarez L. F. Da SilvaFabrício BreveElbert E. N. MacauRoseli Aparecida Francelin RomeroRonaldo C. PratiWitold PedryczJiming Liu
- Topics
- Complex Network Analysis Techniques (12 papers)Neural dynamics and brain function (10 papers)Visual Attention and Saliency Detection (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- BrazilChinaUnited States
In The Last Decade
Marcos G. Quiles
62 papers receiving 626 citations
Peers
Comparison fields: 5 of 114
- Materials Chemistry 164
- Artificial Intelligence 134
- Statistical and Nonlinear Physics 118
- Molecular Biology 108
- Computational Theory and Mathematics 106
Countries citing papers authored by Marcos G. Quiles
This map shows the geographic impact of Marcos G. Quiles'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 Marcos G. Quiles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcos G. Quiles more than expected).
Fields of papers citing papers by Marcos G. Quiles
This network shows the impact of papers produced by Marcos G. Quiles. 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 Marcos G. Quiles. The network helps show where Marcos G. Quiles may publish in the future.
Co-authorship network of co-authors of Marcos G. Quiles
This figure shows the co-authorship network connecting the top 25 collaborators of Marcos G. Quiles. A scholar is included among the top collaborators of Marcos G. Quiles 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 Marcos G. Quiles. Marcos G. Quiles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 81 | |
| 17 | 8 | |
| 18 | 15 | |
| 19 | 19 | |
| 20 | 39 |
About Marcos G. Quiles
Marcos G. Quiles is a scholar working on Statistical and Nonlinear Physics, Sensory Systems and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 638 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Neural dynamics and brain function (10 papers) and Visual Attention and Saliency Detection (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (118 citations), Computational Theory and Mathematics (106 citations) and Computer Vision and Pattern Recognition (95 citations). Marcos G. Quiles has collaborated with scholars based in Brazil, China and United States. Frequent co-authors include Liang Zhao, Juarez L. F. Da Silva, Fabrício Breve, Elbert E. N. Macau, Roseli Aparecida Francelin Romero, Ronaldo C. Prati, Witold Pedrycz, Jiming Liu, Maurício J. Piotrowski and Mathias‐Felipe de‐Lima‐Santos. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.