Régis C. P. Marques
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Artificial Intelligence
- Oceanography
- Co-authors
- F.N.S. MedeirosJuvêncio S. NobreDaniela UshizimaPedro P. Rebouças FilhoElyson Á. N. CarvalhoNelson D. A. MascarenhasVictor Hugo C. de AlbuquerqueCláudia Martins Carneiro
- Topics
- Medical Image Segmentation Techniques (10 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers)Image and Signal Denoising Methods (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceApplied Soft ComputingIEEE Geoscience and Remote Sensing Letters
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Régis C. P. Marques
22 papers receiving 314 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 187
- Aerospace Engineering 128
- Media Technology 119
- Artificial Intelligence 38
- Oceanography 33
Countries citing papers authored by Régis C. P. Marques
This map shows the geographic impact of Régis C. P. Marques'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 Régis C. P. Marques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Régis C. P. Marques more than expected).
Fields of papers citing papers by Régis C. P. Marques
This network shows the impact of papers produced by Régis C. P. Marques. 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 Régis C. P. Marques. The network helps show where Régis C. P. Marques may publish in the future.
Co-authorship network of co-authors of Régis C. P. Marques
This figure shows the co-authorship network connecting the top 25 collaborators of Régis C. P. Marques. A scholar is included among the top collaborators of Régis C. P. Marques 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 Régis C. P. Marques. Régis C. P. Marques is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 43 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 69 | |
| 13 | 0 | |
| 14 | 18 | |
| 15 | 40 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 21 |
About Régis C. P. Marques
Régis C. P. Marques is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 23 papers that have together received 339 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Media Technology (119 citations), Computer Vision and Pattern Recognition (187 citations) and Aerospace Engineering (128 citations). Régis C. P. Marques has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include F.N.S. Medeiros, Juvêncio S. Nobre, Daniela Ushizima, Pedro P. Rebouças Filho, Elyson Á. N. Carvalho, Nelson D. A. Mascarenhas, Victor Hugo C. de Albuquerque, Cláudia Martins Carneiro, Fátima N. S. de Medeiros and Andrea Bianchi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Soft Computing and IEEE Geoscience and Remote Sensing Letters.
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.