Pedro Morais

1.4k total citations
88 papers, 934 citations indexed

About

Pedro Morais is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pedro Morais has authored 88 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Biomedical Engineering and 26 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pedro Morais's work include Cardiac Valve Diseases and Treatments (13 papers), Cardiac Imaging and Diagnostics (10 papers) and Medical Image Segmentation Techniques (9 papers). Pedro Morais is often cited by papers focused on Cardiac Valve Diseases and Treatments (13 papers), Cardiac Imaging and Diagnostics (10 papers) and Medical Image Segmentation Techniques (9 papers). Pedro Morais collaborates with scholars based in Portugal, Belgium and Germany. Pedro Morais's co-authors include João L. Vilaça, Sandro Queirós, Jan D’hooge, Jaime C. Fonseca, Bruno Oliveira, Helena R. Torres, Brecht Heyde, Daniel Barbosa, Fernando Veloso and Olivier Bernard and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Pedro Morais

76 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Morais Portugal 16 337 302 222 219 120 88 934
Shyh-Hau Wang Taiwan 18 479 1.4× 56 0.2× 61 0.3× 501 2.3× 102 0.8× 62 963
Sandro Queirós Portugal 17 305 0.9× 251 0.8× 221 1.0× 208 0.9× 92 0.8× 70 940
Alan Fleming United Kingdom 23 2.0k 5.8× 881 2.9× 407 1.8× 132 0.6× 116 1.0× 46 2.6k
Jorge Solı́s Spain 22 202 0.6× 686 2.3× 87 0.4× 282 1.3× 413 3.4× 120 1.5k
Shun Miao United States 16 456 1.4× 35 0.1× 524 2.4× 416 1.9× 182 1.5× 41 1.2k
Guillaume Zahnd France 16 277 0.8× 336 1.1× 97 0.4× 245 1.1× 158 1.3× 39 709
Richard G. P. Lopata Netherlands 22 1.0k 3.1× 825 2.7× 84 0.4× 986 4.5× 386 3.2× 143 1.9k
Christian Payer Austria 11 169 0.5× 101 0.3× 111 0.5× 213 1.0× 88 0.7× 20 640
Mario Ceresa Spain 14 195 0.6× 45 0.1× 71 0.3× 127 0.6× 82 0.7× 49 683

Countries citing papers authored by Pedro Morais

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Morais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Morais. 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 Pedro Morais. The network helps show where Pedro Morais may publish in the future.

Co-authorship network of co-authors of Pedro Morais

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Morais. A scholar is included among the top collaborators of Pedro Morais 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 Pedro Morais. Pedro Morais 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.
2.
Morais, Pedro, et al.. (2025). Trophic interactions of two sympatric small pelagic fishes off the southern coast of Angola. African Journal of Marine Science. 47(2). 169–180. 1 indexed citations
3.
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.
4.
Morais, Pedro, et al.. (2024). Body Fluid Collection Devices for Ostomy Patients: A Review. Healthcare. 12(21). 2175–2175. 1 indexed citations
5.
Torres, Helena R., Bruno Oliveira, Pedro Morais, et al.. (2024). Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies. Multimedia Systems. 30(2). 2 indexed citations
6.
Morais, Pedro, et al.. (2024). Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review. Sensors. 24(24). 7973–7973. 7 indexed citations
7.
Morais, Pedro, et al.. (2023). Remote Monitoring System of Dynamic Compression Bracing to Correct Pectus Carinatum. Sensors. 23(9). 4427–4427.
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.
Oliveira, Bruno, Pedro Morais, Helena R. Torres, Jaime C. Fonseca, & João L. Vilaça. (2023). Design optimization of medical robotic systems based on task performance metrics: A feasibility study for robotic guided vascular laser treatments. Journal of Field Robotics. 41(1). 144–161. 1 indexed citations
10.
Torres, Helena R., Pedro Morais, Bruno Oliveira, et al.. (2022). Anthropometric Landmarking for Diagnosis of Cranial Deformities: Validation of an Automatic Approach and Comparison with Intra- and Interobserver Variability. Annals of Biomedical Engineering. 50(9). 1022–1037. 4 indexed citations
11.
Torres, Helena R., Bruno Oliveira, Pedro Morais, et al.. (2022). Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities. Journal of Biomedical Informatics. 132. 104121–104121. 1 indexed citations
12.
Torres, Helena R., et al.. (2022). ECG classification using Artificial Intelligence: Model Optimization and Robustness Assessment. 1–8. 2 indexed citations
13.
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, Robert Schueler, Vedat Tiyerili, et al.. (2020). Clinical outcomes and thrombus resolution in patients with solid left atrial appendage thrombi: results of a single-center real-world registry. Clinical Research in Cardiology. 110(1). 72–83. 14 indexed citations
15.
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
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.
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
18.
Torres, Helena R., Sandro Queirós, Pedro Morais, et al.. (2018). Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: A systematic review. Computer Methods and Programs in Biomedicine. 157. 49–67. 69 indexed citations
19.
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
20.
Bogaert, Jan, Davide Curione, Pedro Morais, et al.. (2017). Imaging Ischemic and Reperfusion Injury in Acute Myocardial Infarction. JACC. Cardiovascular imaging. 10(12). 1520–1523. 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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