Brais Cancela

695 total citations · 1 hit paper
27 papers, 345 citations indexed

About

Brais Cancela is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Brais Cancela has authored 27 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Brais Cancela's work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Brais Cancela is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Brais Cancela collaborates with scholars based in Spain, Portugal and China. Brais Cancela's co-authors include Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, Laura Morán‐Fernández, Manuel G. Penedo, N. Barreira, Marc Sáez, Marcos Ortega, João Gama, María Antònia Barceló and Gabriel Coll de Tuero and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Brais Cancela

25 papers receiving 328 citations

Hit Papers

A review of green artificial intelligence: Towards a more... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brais Cancela Spain 10 103 97 82 71 32 27 345
Shubham Joshi India 12 77 0.7× 47 0.5× 28 0.3× 79 1.1× 29 0.9× 44 393
Muhammad Salman Haleem United Kingdom 11 245 2.4× 150 1.5× 199 2.4× 26 0.4× 40 1.3× 32 491
Serkan Savaş Türkiye 11 56 0.5× 58 0.6× 6 0.1× 108 1.5× 29 0.9× 37 372
Miguel Botto-Tobar Ecuador 7 42 0.4× 28 0.3× 19 0.2× 33 0.5× 18 0.6× 51 203
Jamin Rahman Jim Bangladesh 9 82 0.8× 87 0.9× 4 0.0× 136 1.9× 38 1.2× 17 434
Jilan Xu China 9 68 0.7× 140 1.4× 11 0.1× 114 1.6× 18 0.6× 27 320
Dirección de Gestión del Conocimiento 4 30 0.3× 140 1.4× 4 0.0× 43 0.6× 22 0.7× 8 321
Hazleen Aris Malaysia 8 26 0.3× 40 0.4× 12 0.1× 33 0.5× 9 0.3× 44 249
J. Angel Arul Jothi United Arab Emirates 12 86 0.8× 113 1.2× 4 0.0× 189 2.7× 24 0.8× 34 366
V. Mahalakshmi India 6 37 0.4× 25 0.3× 8 0.1× 60 0.8× 28 0.9× 25 260

Countries citing papers authored by Brais Cancela

Since Specialization
Citations

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

Fields of papers citing papers by Brais Cancela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brais Cancela

This figure shows the co-authorship network connecting the top 25 collaborators of Brais Cancela. A scholar is included among the top collaborators of Brais Cancela 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 Brais Cancela. Brais Cancela 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.
Alonso‐Betanzos, Amparo, et al.. (2025). Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression Models. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19619–19630.
2.
Cancela, Brais, et al.. (2024). Performance and sustainability of BERT derivatives in dyadic data. Expert Systems with Applications. 262. 125647–125647. 2 indexed citations
3.
Alonso‐Betanzos, Amparo, et al.. (2024). Sustainable transparency on recommender systems: Bayesian ranking of images for explainability. Information Fusion. 111. 102497–102497. 4 indexed citations
4.
Chamnongthai, Kosin, et al.. (2024). Spatial–temporal feature-based End-to-end Fourier network for 3D sign language recognition. Expert Systems with Applications. 248. 123258–123258. 21 indexed citations
5.
Cancela, Brais, et al.. (2023). On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility. Mathematics. 11(19). 4150–4150. 3 indexed citations
6.
Bolón‐Canedo, Verónica, Laura Morán‐Fernández, Brais Cancela, & Amparo Alonso‐Betanzos. (2023). Green Machine Learning. 269–278. 1 indexed citations
7.
Cancela, Brais, Verónica Bolón‐Canedo, & Amparo Alonso‐Betanzos. (2022). E2E-FS: An End-to-End Feature Selection Method for Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 8311–8323. 6 indexed citations
8.
Hernández-Pereira, Elena, Óscar Fontenla-Romero, Verónica Bolón‐Canedo, et al.. (2021). Machine learning techniques to predict different levels of hospital care of CoVid-19. Applied Intelligence. 52(6). 6413–6431. 10 indexed citations
9.
Cancela, Brais, Verónica Bolón‐Canedo, & Amparo Alonso‐Betanzos. (2021). A delayed Elastic-Net approach for performing adversarial attacks. RUC (Universidade Da Coruña). 378–384. 1 indexed citations
10.
Cancela, Brais, et al.. (2020). Discovering locations and habits from human mobility data. Annals of Telecommunications. 75(9-10). 505–521. 11 indexed citations
11.
Cancela, Brais, et al.. (2020). From mobility data to habits and common pathways. Expert Systems. 37(6). 5 indexed citations
12.
Cancela, Brais, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, & João Gama. (2019). A scalable saliency-based feature selection method with instance-level information. Knowledge-Based Systems. 192. 105326–105326. 9 indexed citations
13.
Brea, Luisa Sánchez, N. Barreira, Manuel G. Penedo, & Brais Cancela. (2015). Automatic identification of vessel crossovers in retinal images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9445. 94451G–94451G. 1 indexed citations
14.
Cancela, Brais, et al.. (2014). Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths. 1. 2553–2560. 14 indexed citations
15.
Cancela, Brais, Tim Hospedales, & Shaogang Gong. (2014). Open-world Person Re-Identification by Multi-Label Assignment Inference. 98.1–98.11. 18 indexed citations
16.
Cancela, Brais, Marcos Ortega, Manuel G. Penedo, Jorge Novo, & N. Barreira. (2013). On the use of a minimal path approach for target trajectory analysis. Pattern Recognition. 46(7). 2015–2027. 5 indexed citations
17.
Cancela, Brais, et al.. (2012). Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios. Expert Systems with Applications. 40(4). 1116–1131. 13 indexed citations
18.
Fernández, Alberto, et al.. (2012). Automatic processing of audiometry sequences for objective screening of hearing loss. Expert Systems with Applications. 39(16). 12683–12696. 2 indexed citations
19.
Cancela, Brais, N. Barreira, Manuel G. Penedo, et al.. (2012). Improving retinal artery and vein classification by means of a minimal path approach. Machine Vision and Applications. 24(5). 919–930. 66 indexed citations
20.
Fernández, Alberto, et al.. (2011). Measuring response times to auditory stimuli during an audiometry. 1–5.

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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