Jorge S. Marques

8.2k total citations · 2 hit papers
181 papers, 5.4k citations indexed

About

Jorge S. Marques is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Jorge S. Marques has authored 181 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Computer Vision and Pattern Recognition, 64 papers in Artificial Intelligence and 24 papers in Oncology. Recurrent topics in Jorge S. Marques's work include Medical Image Segmentation Techniques (41 papers), Video Surveillance and Tracking Methods (37 papers) and Anomaly Detection Techniques and Applications (26 papers). Jorge S. Marques is often cited by papers focused on Medical Image Segmentation Techniques (41 papers), Video Surveillance and Tracking Methods (37 papers) and Anomaly Detection Techniques and Applications (26 papers). Jorge S. Marques collaborates with scholars based in Portugal, United States and Spain. Jorge S. Marques's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and European Heart Journal.

In The Last Decade

Jorge S. Marques

176 papers receiving 5.1k citations

Hit Papers

Overview of the Face Recognition Grand Challenge 2005 2026 2012 2019 2005 2013 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge S. Marques Portugal 29 3.0k 1.9k 1.7k 901 484 181 5.4k
Costantino Grana Italy 26 2.2k 0.7× 584 0.3× 580 0.3× 151 0.2× 512 1.1× 128 3.3k
Chen Li China 37 1.3k 0.4× 2.1k 1.1× 369 0.2× 213 0.2× 437 0.9× 239 4.8k
Carsten Steger Germany 22 1.7k 0.6× 1.7k 0.9× 119 0.1× 204 0.2× 223 0.5× 54 4.3k
Jacinto C. Nascimento Portugal 26 1.4k 0.5× 1.1k 0.6× 373 0.2× 92 0.1× 473 1.0× 113 3.1k
Mrinal Mandal Canada 30 1.5k 0.5× 752 0.4× 399 0.2× 442 0.5× 280 0.6× 158 3.0k
Tallha Akram Pakistan 36 1.2k 0.4× 1.5k 0.8× 1.1k 0.6× 96 0.1× 337 0.7× 90 3.9k
Danny Z. Chen United States 34 1.1k 0.4× 683 0.4× 175 0.1× 245 0.3× 448 0.9× 292 4.2k
Weidong Cai Australia 38 3.0k 1.0× 2.4k 1.3× 158 0.1× 213 0.2× 522 1.1× 303 7.0k
Andreas Uhl Austria 35 4.4k 1.4× 880 0.5× 658 0.4× 2.7k 3.0× 186 0.4× 491 6.8k
Anders Heyden Sweden 23 4.6k 1.5× 1.3k 0.7× 84 0.0× 227 0.3× 466 1.0× 173 6.6k

Countries citing papers authored by Jorge S. Marques

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ferreira, Rui M. L., et al.. (2024). Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event. Earth system science data. 16(1). 375–385. 1 indexed citations
2.
Marques, Jorge S., et al.. (2023). Exploring Industrial Tourism's Potential: How Can It Contribute to Business Innovation?. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 18(1). 644–650. 1 indexed citations
3.
Silva, Alberto Rodrigues da, et al.. (2023). A Web GIS Platform to Modeling, Simulate and Analyze Flood Events: The RiverCure Portal. ISPRS International Journal of Geo-Information. 12(7). 268–268. 6 indexed citations
4.
Marques, Jorge S., et al.. (2022). Understanding the concept of Industrial Tourism. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 15(1). 263–272. 2 indexed citations
5.
Santiago, Carlos, Jacinto C. Nascimento, & Jorge S. Marques. (2017). Fast segmentation of the left ventricle in cardiac MRI using dynamic programming. Computer Methods and Programs in Biomedicine. 154. 9–23. 24 indexed citations
6.
Saleh, Abdelaty, John Withers, Rajinikanth Mohan, et al.. (2016). Posttranslational Modifications of the Master Transcriptional Regulator NPR1 Enable Dynamic but Tight Control of Plant Immune Responses. Cell Host & Microbe. 19(1). 127–130. 6 indexed citations
7.
Nascimento, Jacinto C., Mário A. T. Figueiredo, & Jorge S. Marques. (2012). Activity Recognition Using a Mixture of Vector Fields. IEEE Transactions on Image Processing. 22(5). 1712–1725. 24 indexed citations
8.
Marques, Jorge S. & Mário A. T. Figueiredo. (2011). Fast estimation of multiple vector fields: Application to video surveillance. 277–282. 1 indexed citations
9.
Barata, Catarina, Jorge S. Marques, & Jorge Rozeira. (2011). Detecting the pigment network in dermoscopy images: A directional approach. PubMed. 4. 5120–5123. 15 indexed citations
10.
Nascimento, Jacinto C., Mário A. T. Figueiredo, & Jorge S. Marques. (2010). Trajectory Classification Using Switched Dynamical Hidden Markov Models. IEEE Transactions on Image Processing. 19(5). 1338–1348. 69 indexed citations
11.
Mendonça, Teresa, A. Marçal, Jacinto C. Nascimento, et al.. (2007). Comparison of Segmentation Methods for Automatic Diagnosis of Dermoscopy Images. Conference proceedings. 2007. 6572–6575. 32 indexed citations
12.
Sanches, João, Jacinto C. Nascimento, & Jorge S. Marques. (2007). An Unified Framework for Bayesian Denoising for Several Medical and Biological Imaging modalities. Conference proceedings. 2984. 6267–6270. 5 indexed citations
13.
Silveira, Margarida & Jorge S. Marques. (2006). Automatic segmentation of the lungs using multiple active contours and outlier model. PubMed. 2. 3122–3125. 16 indexed citations
14.
Blanca, Nicolás Pérez de la, Jorge S. Marques, & Pedro Pina. (2005). Pattern Recognition and Image Analysis (vol. # 3522) : Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part 1. Springer eBooks. 1 indexed citations
15.
Silva, Jorge Sá, Jorge S. Marques, & João M. Lemos. (2005). Selecting Landmark Points for Sparse Manifold Learning. Neural Information Processing Systems. 18. 1241–1248. 36 indexed citations
16.
Nascimento, Jacinto C. & Jorge S. Marques. (2005). Adaptive snakes using the EM algorithm. IEEE Transactions on Image Processing. 14(11). 1678–1686. 38 indexed citations
17.
Sanches, João & Jorge S. Marques. (2003). Compensation of log-compressed images for 3-D ultrasound. Ultrasound in Medicine & Biology. 29(2). 239–253. 13 indexed citations
18.
Silva, António Rito, et al.. (1996). Atomicity Policies using Design Patterns. 1 indexed citations
19.
Abrantes, Arnaldo J. & Jorge S. Marques. (1996). A class of constrained clustering algorithms for object boundary extraction. IEEE Transactions on Image Processing. 5(11). 1507–1521. 78 indexed citations
20.
Silva, António Rito, et al.. (1996). Object Synchronizer: A Design Pattern for Object Synchronization. 1 indexed citations

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.

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