João L. Vilaça

2.7k total citations
155 papers, 1.6k citations indexed

About

João L. Vilaça is a scholar working on Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, João L. Vilaça has authored 155 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Surgery, 37 papers in Computer Vision and Pattern Recognition and 37 papers in Biomedical Engineering. Recurrent topics in João L. Vilaça's work include Cardiac Valve Diseases and Treatments (16 papers), Medical Image Segmentation Techniques (13 papers) and Pectus Deformity Diagnosis and Treatment (13 papers). João L. Vilaça is often cited by papers focused on Cardiac Valve Diseases and Treatments (16 papers), Medical Image Segmentation Techniques (13 papers) and Pectus Deformity Diagnosis and Treatment (13 papers). João L. Vilaça collaborates with scholars based in Portugal, Belgium and Germany. João L. Vilaça's co-authors include Jaime C. Fonseca, Pedro Morais, Sandro Queirós, A. Pinho, Nuno F. Rodrigues, Jan D’hooge, Bruno Oliveira, António H. J. Moreira, Helena R. Torres and Jorge Correia‐Pinto and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

João L. Vilaça

136 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João L. Vilaça Portugal 21 359 349 332 240 236 155 1.6k
Miguel Á. González Ballester Spain 27 707 2.0× 629 1.8× 522 1.6× 478 2.0× 240 1.0× 165 2.4k
Sara Moccia Italy 24 453 1.3× 684 2.0× 481 1.4× 356 1.5× 285 1.2× 106 2.0k
Sergio Casciaro Italy 25 580 1.6× 434 1.2× 291 0.9× 387 1.6× 70 0.3× 125 2.1k
Matthew McCormick United States 17 332 0.9× 422 1.2× 147 0.4× 146 0.6× 244 1.0× 54 1.0k
Dirk Loeckx Belgium 21 288 0.8× 580 1.7× 490 1.5× 128 0.5× 220 0.9× 67 1.4k
Kai Zhang China 28 357 1.0× 665 1.9× 206 0.6× 315 1.3× 135 0.6× 132 2.2k
Francesco Conversano Italy 23 517 1.4× 306 0.9× 122 0.4× 335 1.4× 43 0.2× 107 1.8k
Leonardo S. Mattos Italy 24 819 2.3× 458 1.3× 480 1.4× 508 2.1× 247 1.0× 155 2.2k
Ken Masamune Japan 29 1.3k 3.6× 391 1.1× 625 1.9× 834 3.5× 204 0.9× 157 2.4k
Pedro Morais Portugal 16 219 0.6× 337 1.0× 222 0.7× 120 0.5× 98 0.4× 88 934

Countries citing papers authored by João L. Vilaça

Since Specialization
Citations

This map shows the geographic impact of João L. Vilaça'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 João L. Vilaça with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João L. Vilaça more than expected).

Fields of papers citing papers by João L. Vilaça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João L. Vilaça. 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 João L. Vilaça. The network helps show where João L. Vilaça may publish in the future.

Co-authorship network of co-authors of João L. Vilaça

This figure shows the co-authorship network connecting the top 25 collaborators of João L. Vilaça. A scholar is included among the top collaborators of João L. Vilaça 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 João L. Vilaça. João L. Vilaça 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
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Costa, P., et al.. (2025). Piezoresistive materials based on natural polymers for medical device applications. Reactive and Functional Polymers. 217. 106502–106502. 2 indexed citations
4.
Torres, Helena R., Bruno Oliveira, Cahit Birdir, et al.. (2024). Deep-DM: Deep-Driven Deformable Model for 3D Image Segmentation Using Limited Data. IEEE Journal of Biomedical and Health Informatics. 28(12). 7287–7299. 1 indexed citations
5.
Queirós, Sandro, Helena R. Torres, Bruno Oliveira, et al.. (2024). Exploring optical flow inclusion into nnU-Net framework for surgical instrument segmentation. arXiv (Cornell University). 78–78.
6.
Morais, Pedro, et al.. (2024). Body Fluid Collection Devices for Ostomy Patients: A Review. Healthcare. 12(21). 2175–2175. 1 indexed citations
7.
Vilaça, João L., et al.. (2023). Measuring the Precision of the Oculus Quest 2’s Handheld Controllers. Actuators. 12(6). 257–257. 8 indexed citations
8.
Lopes, Diogo, et al.. (2023). Classification of Continuous ECG Segments - Performance Analysis of a Deep Learning Model. PubMed. 46. 1–4. 1 indexed citations
9.
Silva, Ana Rita, D. P. Mesquita, M. Salomé Duarte, et al.. (2023). Exploring the correlations between epi indicators of COVID-19 and the concentration of pharmaceutical compounds in wastewater treatment plants in Northern Portugal. Journal of Hazardous Materials Advances. 10. 100315–100315. 5 indexed citations
10.
Morais, Pedro, et al.. (2023). Remote Monitoring System of Dynamic Compression Bracing to Correct Pectus Carinatum. Sensors. 23(9). 4427–4427.
11.
Torres, Helena R., et al.. (2022). ECG classification using Artificial Intelligence: Model Optimization and Robustness Assessment. 1–8. 2 indexed citations
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Torres, Helena R., Sandro Queirós, Pedro Morais, et al.. (2020). Kidney Segmentation in 3-D Ultrasound Images Using a Fast Phase-Based Approach. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(5). 1521–1531. 10 indexed citations
14.
Morais, Pedro, João L. Vilaça, Sandro Queirós, et al.. (2019). Semiautomatic Estimation of Device Size for Left Atrial Appendage Occlusion in 3-D TEE Images. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 66(5). 922–929. 7 indexed citations
15.
Queirós, Sandro, Pedro Morais, Daniel Barbosa, et al.. (2018). MITT: Medical Image Tracking Toolbox. IEEE Transactions on Medical Imaging. 37(11). 2547–2557. 26 indexed citations
16.
Morais, Pedro, Sandro Queirós, Pieter De Meester, et al.. (2018). Fast Segmentation of the Left Atrial Appendage in 3-D Transesophageal Echocardiographic Images. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(12). 2332–2342. 14 indexed citations
17.
Morais, Pedro, João L. Vilaça, Sandro Queirós, et al.. (2017). A competitive strategy for atrial and aortic tract segmentation based on deformable models. Medical Image Analysis. 42. 102–116. 16 indexed citations
18.
Torres, Helena R., Bruno Oliveira, Sandro Queirós, et al.. (2016). Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces. RepositóriUM (Universidade do Minho). 18. 1–7. 4 indexed citations
19.
Rodrigues, Pedro Luiz Coelho, Nuno F. Rodrigues, Jaime C. Fonseca, Estêvão Lima, & João L. Vilaça. (2013). Kidney Targeting and Puncturing During Percutaneous Nephrolithotomy: Recent Advances and Future Perspectives. Journal of Endourology. 27(7). 826–834. 39 indexed citations
20.
Vilaça, João L., Jaime C. Fonseca, & A. Pinho. (2006). Calibration Procedure for 3D Surface Measurements using Stereo Vision and Laser Stripe. Clinical Endocrinology. 95(4). 606–617. 3 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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