Beatriz Remeseiro

1.9k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Beatriz Remeseiro is a scholar working on Public Health, Environmental and Occupational Health, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Beatriz Remeseiro has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 13 papers in Ophthalmology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Beatriz Remeseiro's work include Ocular Surface and Contact Lens (15 papers), Glaucoma and retinal disorders (12 papers) and Retinal Imaging and Analysis (6 papers). Beatriz Remeseiro is often cited by papers focused on Ocular Surface and Contact Lens (15 papers), Glaucoma and retinal disorders (12 papers) and Retinal Imaging and Analysis (6 papers). Beatriz Remeseiro collaborates with scholars based in Spain, Portugal and United Kingdom. Beatriz Remeseiro's co-authors include Verónica Bolón‐Canedo, Manuel G. Penedo, Petia Radeva, Eduardo Aguilar, A. Mosquera, Marc Bolaños, María Grau, Laura Igual, Carlos García‐Resúa and Eva Yebra‐Pimentel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Information Sciences.

In The Last Decade

Beatriz Remeseiro

41 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of feature selection methods in medical applications

2019 517 citations Beatriz Remeseiro, Verónica Bolón‐Canedo profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beatriz Remeseiro Spain	15	338	221	211	190	143	48	1.1k
Manal Alghamdi Saudi Arabia	19	471 1.4×	409 1.9×	279 1.3×	48 0.3×	64 0.4×	44	1.1k
Quang H. Nguyen Vietnam	25	248 0.7×	157 0.7×	636 3.0×	169 0.9×	69 0.5×	93	1.8k
Yogesh Kumar India	27	683 2.0×	332 1.5×	290 1.4×	51 0.3×	132 0.9×	130	2.0k
Radim Bürget Czechia	22	443 1.3×	554 2.5×	557 2.6×	30 0.2×	224 1.6×	139	1.8k
Atef Zaguia Saudi Arabia	19	326 1.0×	245 1.1×	184 0.9×	25 0.1×	94 0.7×	51	1.2k
Hang Yu China	15	333 1.0×	394 1.8×	256 1.2×	66 0.3×	91 0.6×	69	1.1k
Ahmet Çınar Türkiye	20	503 1.5×	552 2.5×	432 2.0×	24 0.1×	116 0.8×	79	1.4k
Wenjia Wang China	16	257 0.8×	504 2.3×	115 0.5×	30 0.2×	57 0.4×	67	1.1k
Melissa Berthelot United Kingdom	6	511 1.5×	203 0.9×	346 1.6×	30 0.2×	212 1.5×	11	1.3k
Devvi Sarwinda Indonesia	14	330 1.0×	227 1.0×	280 1.3×	19 0.1×	57 0.4×	80	854

Countries citing papers authored by Beatriz Remeseiro

Since Specialization

Citations

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

Fields of papers citing papers by Beatriz Remeseiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Remeseiro

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Remeseiro. A scholar is included among the top collaborators of Beatriz Remeseiro 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 Beatriz Remeseiro. Beatriz Remeseiro 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

Müller, Michael, et al.. (2025). AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation. Computer Methods and Programs in Biomedicine. 271. 108991–108991.

Rodríguez, D., et al.. (2025). BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning. Biomedical Signal Processing and Control. 104. 107490–107490. 3 indexed citations

Grau, María, et al.. (2024). Deep-stratification of the cardiovascular risk by ultrasound carotid artery images. Biomedical Signal Processing and Control. 91. 106035–106035. 1 indexed citations

Díez, Jorge, et al.. (2024). A multi-task framework for breast cancer segmentation and classification in ultrasound imaging. Computer Methods and Programs in Biomedicine. 260. 108540–108540. 8 indexed citations

Rodríguez, D., et al.. (2023). BTS U-Net: A Data-Driven Approach to Brain Tumor Segmentation Through Deep Learning. SSRN Electronic Journal.

Díez, Jorge, et al.. (2023). Users' photos of items can reveal their tastes in a recommender system. Information Sciences. 642. 119227–119227. 4 indexed citations

Igual, Laura, Beatriz Remeseiro, Roberto Elosúa, et al.. (2022). Polyvascular Subclinical Atherosclerosis: Correlation Between Ankle Brachial Index and Carotid Atherosclerosis in a Population-Based Sample. Angiology. 74(5). 443–451. 1 indexed citations

Lira, Madalena, et al.. (2022). Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5130–5140. 11 indexed citations

Aguilar, Eduardo, et al.. (2022). Bayesian deep learning for semantic segmentation of food images. Computers & Electrical Engineering. 103. 108380–108380. 14 indexed citations

10.

Remeseiro, Beatriz, et al.. (2020). DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 726–737. 5 indexed citations

11.

Díez, Jorge, et al.. (2020). Towards explainable personalized recommendations by learning from users’ photos. Information Sciences. 520. 416–430. 22 indexed citations

12.

Remeseiro, Beatriz, Ana Maria Mendonc̨a, & Aurélio Campilho. (2020). Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation. The Visual Computer. 37(6). 1247–1261. 11 indexed citations

13.

Bolón‐Canedo, Verónica & Beatriz Remeseiro. (2019). Feature selection in image analysis: a survey. Artificial Intelligence Review. 53(4). 2905–2931. 130 indexed citations

14.

Remeseiro, Beatriz, Javier Tarrío‐Saavedra, Mario Francisco‐Fernández, et al.. (2019). Automatic detection of defective crankshafts by image analysis and supervised classification. The International Journal of Advanced Manufacturing Technology. 105(9). 3761–3777. 14 indexed citations

15.

Aguilar, Eduardo, Beatriz Remeseiro, Marc Bolaños, & Petia Radeva. (2018). Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 80 indexed citations

16.

Bolón‐Canedo, Verónica, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez‐Rego, & Amparo Alonso‐Betanzos. (2017). Algorithmic challenges in big data analytics.. The European Symposium on Artificial Neural Networks. 4 indexed citations

17.

Remeseiro, Beatriz, N. Barreira, Carlos García‐Resúa, et al.. (2016). iDEAS: A web-based system for dry eye assessment. Computer Methods and Programs in Biomedicine. 130. 186–197. 11 indexed citations

18.

Remeseiro, Beatriz, A. Mosquera, & Manuel G. Penedo. (2015). CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps. IEEE Journal of Biomedical and Health Informatics. 20(3). 936–943. 16 indexed citations

19.

Remeseiro, Beatriz, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, & Manuel G. Penedo. (2015). Learning features on tear film lipid layer cla ssification. The European Symposium on Artificial Neural Networks. 2 indexed citations

20.

Bolón‐Canedo, Verónica, Beatriz Remeseiro, Noelia Sánchez‐Maroño, & Amparo Alonso‐Betanzos. (2014). mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 42–51. 4 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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