Jorge S. Marques
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Oncology top 1%
- Signal Processing top 0.5%
- Biomedical Engineering top 5%
- Co-authors
- Jacinto C. NascimentoCatarina BarataTeresa MendonçaJorge RozeiraM. Emre CelebiThomas E. ScruggsJeffrey Wen Wei ChangWilliam J. Worek
- Topics
- Medical Image Segmentation Techniques (41 papers)Video Surveillance and Tracking Methods (37 papers)Anomaly Detection Techniques and Applications (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingEuropean Heart Journal
- Partner nations
- PortugalUnited StatesSpain
In The Last Decade
Jorge S. Marques
176 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 3.0k
- Artificial Intelligence 1.9k
- Oncology 1.7k
- Signal Processing 901
- Biomedical Engineering 484
Countries citing papers authored by Jorge S. Marques
This map shows the geographic impact of Jorge S. 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 Jorge S. Marques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge S. Marques more than expected).
Fields of papers citing papers by Jorge S. Marques
This network shows the impact of papers produced by Jorge S. 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 Jorge S. Marques. The network helps show where Jorge S. Marques may publish in the future.
Co-authorship network of co-authors of Jorge S. Marques
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge S. Marques. A scholar is included among the top collaborators of Jorge S. 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 Jorge S. Marques. Jorge S. 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 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 6 | |
| 7 | 24 | |
| 8 | Fast estimation of multiple vector fields: Application to video surveillance | 1 |
| 9 | 15 | |
| 10 | 69 | |
| 11 | 32 | |
| 12 | 5 | |
| 13 | 16 | |
| 14 | Pattern Recognition and Image Analysis (vol. # 3522) : Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part 1 | 1 |
| 15 | Selecting Landmark Points for Sparse Manifold Learning | 36 |
| 16 | 38 | |
| 17 | 13 | |
| 18 | Atomicity Policies using Design Patterns | 1 |
| 19 | 78 | |
| 20 | Object Synchronizer: A Design Pattern for Object Synchronization | 1 |
About Jorge S. Marques
Jorge S. Marques is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 181 papers that have together received 5.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (41 papers), Video Surveillance and Tracking Methods (37 papers) and Anomaly Detection Techniques and Applications (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Signal Processing (901 citations) and Oncology (1.7k citations). Jorge S. Marques has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Jacinto C. Nascimento, Catarina Barata, Teresa Mendonça, Jorge Rozeira, M. Emre Celebi, Thomas E. Scruggs, Jeffrey Wen Wei Chang, William J. Worek, Patrick J. Flynn and P. Jonathon Phillips. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and European Heart Journal.
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.