Juan-Carlos Pérez-Cortés

729 total citations
51 papers, 355 citations indexed

About

Juan-Carlos Pérez-Cortés is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Juan-Carlos Pérez-Cortés has authored 51 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Juan-Carlos Pérez-Cortés's work include 3D Surveying and Cultural Heritage (7 papers), AI in cancer detection (7 papers) and Optical measurement and interference techniques (7 papers). Juan-Carlos Pérez-Cortés is often cited by papers focused on 3D Surveying and Cultural Heritage (7 papers), AI in cancer detection (7 papers) and Optical measurement and interference techniques (7 papers). Juan-Carlos Pérez-Cortés collaborates with scholars based in Spain, Chile and Mexico. Juan-Carlos Pérez-Cortés's co-authors include Rafael Llobet, Alberto Pérez, Gabriela Andreu-Garcı́a, David Cuesta–Frau, Marina Pollán, Beatriz Pérez‐Gómez, María Rosa Casals, Dolores Salas‐Trejo, Inmaculada Failde and Alfons Juan and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Juan-Carlos Pérez-Cortés

41 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juan-Carlos Pérez-Cortés Spain	12	169	161	58	44	33	51	355
Tal Ridnik Israel	6	204 1.2×	255 1.6×	41 0.7×	22 0.5×	21 0.6×	8	427
Itamar Friedman Cayman Islands	5	195 1.2×	251 1.6×	41 0.7×	20 0.5×	21 0.6×	6	391
Amin Alqudah Jordan	14	112 0.7×	138 0.9×	129 2.2×	30 0.7×	19 0.6×	32	413
Emanuel Ben-Baruch Cayman Islands	3	199 1.2×	249 1.5×	41 0.7×	21 0.5×	21 0.6×	3	400
Asaf Noy Cayman Islands	4	205 1.2×	256 1.6×	42 0.7×	21 0.5×	21 0.6×	6	409
V. Seethalakshmi India	8	118 0.7×	165 1.0×	142 2.4×	27 0.6×	11 0.3×	22	472
Ceyhun Burak Akgül Türkiye	11	380 2.2×	118 0.7×	96 1.7×	12 0.3×	17 0.5×	27	525
Kaleem Arshid China	8	102 0.6×	73 0.5×	74 1.3×	13 0.3×	36 1.1×	20	358
Suane Pires P. da Silva Brazil	7	72 0.4×	91 0.6×	150 2.6×	71 1.6×	15 0.5×	11	336

Countries citing papers authored by Juan-Carlos Pérez-Cortés

Since Specialization

Citations

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

Fields of papers citing papers by Juan-Carlos Pérez-Cortés

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan-Carlos Pérez-Cortés. 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 Juan-Carlos Pérez-Cortés. The network helps show where Juan-Carlos Pérez-Cortés may publish in the future.

Co-authorship network of co-authors of Juan-Carlos Pérez-Cortés

This figure shows the co-authorship network connecting the top 25 collaborators of Juan-Carlos Pérez-Cortés. A scholar is included among the top collaborators of Juan-Carlos Pérez-Cortés 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 Juan-Carlos Pérez-Cortés. Juan-Carlos Pérez-Cortés is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pérez-Cortés, Juan-Carlos. (2025). La anarquía relacional como disidencia interseccional. Revista Periódicus. 1(21). 354–370.

Arnal, Laura, Rafael Llobet, Juan-Carlos Pérez-Cortés, et al.. (2025). A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets. Medical & Biological Engineering & Computing. 63(9). 2733–2752.

Larroza, Andrés, et al.. (2024). Breast Delineation in Full-Field Digital Mammography Using the Segment Anything Model. Diagnostics. 14(10). 1015–1015. 3 indexed citations

Pérez, Alberto, et al.. (2023). Optimal Coherent Point Selection for 3D Quality Inspection from Silhouette-Based Reconstructions. Mathematics. 11(21). 4419–4419. 1 indexed citations

Arnal, Laura, et al.. (2023). Prediction of 30-day unplanned hospital readmission through survival analysis. Heliyon. 9(10). e20942–e20942. 3 indexed citations

Castilla, Diana, et al.. (2023). Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data. User Modeling and User-Adapted Interaction. 34(2). 293–322. 4 indexed citations

Larroza, Andrés, Juan-Carlos Pérez-Cortés, Marta Román, et al.. (2022). Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach. Diagnostics. 12(8). 1822–1822. 5 indexed citations

Larroza, Andrés, Juan-Carlos Pérez-Cortés, Marina Pollán, et al.. (2022). A deep learning framework to classify breast density with noisy labels regularization. Computer Methods and Programs in Biomedicine. 221. 106885–106885. 10 indexed citations

Arnal, Laura, et al.. (2022). Decision support through risk cost estimation in 30-day hospital unplanned readmission. PLoS ONE. 17(7). e0271331–e0271331. 3 indexed citations

10.

Pérez, Alberto, et al.. (2022). Improving Multi-View Camera Calibration Using Precise Location of Sphere Center Projection. Computers. 11(6). 84–84.

11.

Arnal, Laura, et al.. (2022). SEQENS: An ensemble method for relevant gene identification in microarray data. Computers in Biology and Medicine. 152. 106413–106413. 6 indexed citations

12.

Llobet, Rafael, et al.. (2021). Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients. IEEE Access. 9. 42370–42383. 22 indexed citations

13.

Pérez, Alberto, et al.. (2020). Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM). Sensors. 20(22). 6554–6554. 1 indexed citations

14.

Pérez-Cortés, Juan-Carlos, et al.. (2020). High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K. Journal of Imaging. 6(12). 142–142. 13 indexed citations

15.

Pérez-Cortés, Juan-Carlos, et al.. (2018). A System for In-Line 3D Inspection without Hidden Surfaces. Sensors. 18(9). 2993–2993. 15 indexed citations

16.

Llobet, Rafael, et al.. (2015). Composition of Constraint, Hypothesis and Error Models to improve interaction in Human–Machine Interfaces. Information Fusion. 29. 1–13. 3 indexed citations

17.

Iglesia-Vayá, María de la, José María Salinas, Gonzalo Rojas, et al.. (2015). BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR.. 987–989. 3 indexed citations

18.

Pérez-Cortés, Juan-Carlos, et al.. (2010). Exploiting Parallelism in Multi-View Systems Using UML Activity Diagrams and OpenMP. 240–244.

19.

Cuesta–Frau, David, Juan-Carlos Pérez-Cortés, & Gabriela Andreu-Garcı́a. (2003). Clustering of electrocardiograph signals in computer-aided Holter analysis. Computer Methods and Programs in Biomedicine. 72(3). 179–196. 30 indexed citations

20.

Paredes, Roberto, Juan-Carlos Pérez-Cortés, Alfons Juan, & Enrique Vidal. (2001). Local Representations and a direct Voting Scheme for Face Recognition. 71–79. 18 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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