Rafael Llobet

525 total citations
35 papers, 305 citations indexed

About

Rafael Llobet is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Rafael Llobet has authored 35 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Pulmonary and Respiratory Medicine and 14 papers in Oncology. Recurrent topics in Rafael Llobet's work include Digital Radiography and Breast Imaging (15 papers), Global Cancer Incidence and Screening (13 papers) and AI in cancer detection (11 papers). Rafael Llobet is often cited by papers focused on Digital Radiography and Breast Imaging (15 papers), Global Cancer Incidence and Screening (13 papers) and AI in cancer detection (11 papers). Rafael Llobet collaborates with scholars based in Spain, Mexico and Hungary. Rafael Llobet's co-authors include Juan-Carlos Pérez-Cortés, Beatriz Pérez‐Gómez, A. Juan, Alejandro H. Toselli, Marina Pollán, María Rosa Casals, Dolores Salas‐Trejo, Inmaculada Failde, Carmen Sánchez‐Contador and Carmen Vidal and has published in prestigious journals such as The Science of The Total Environment, JNCI Journal of the National Cancer Institute and Journal of Nutrition.

In The Last Decade

Rafael Llobet

30 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael Llobet Spain 11 175 109 100 91 68 35 305
Maurice Samulski Netherlands 10 255 1.5× 94 0.9× 66 0.7× 159 1.7× 27 0.4× 12 303
Qianye Yang United Kingdom 11 74 0.4× 98 0.9× 62 0.6× 118 1.3× 29 0.4× 21 318
Hemin Ali Qadir Norway 8 181 1.0× 153 1.4× 45 0.5× 205 2.3× 243 3.6× 18 401
Ruining Deng United States 10 152 0.9× 128 1.2× 39 0.4× 98 1.1× 33 0.5× 42 302
Georg Wimmer Austria 11 132 0.8× 157 1.4× 62 0.6× 142 1.6× 222 3.3× 35 454
Celia Varela Netherlands 7 254 1.5× 142 1.3× 45 0.5× 139 1.5× 54 0.8× 10 309
Xiaohan Xing China 10 118 0.7× 86 0.8× 34 0.3× 131 1.4× 103 1.5× 22 321

Countries citing papers authored by Rafael Llobet

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Llobet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Llobet

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Llobet. A scholar is included among the top collaborators of Rafael Llobet 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 Rafael Llobet. Rafael Llobet 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.
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.
2.
Jiménez, Tamara, Nerea Fernández de Larrea‐Baz, Pilar Lucas, et al.. (2024). Residential exposure to traffic pollution and mammographic density in premenopausal women. The Science of The Total Environment. 928. 172463–172463. 1 indexed citations
3.
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
4.
Jiménez, Tamara, Nerea Fernández de Larrea‐Baz, Pilar Lucas, et al.. (2024). Mammographic density and exposure to air pollutants in premenopausal women: a cross-sectional study. Environmental Health and Preventive Medicine. 29(0). 65–65.
5.
Jiménez, Tamara, Marina Pollán, Pilar Lucas, et al.. (2023). Mammographic density in the environs of multiple industrial sources. The Science of The Total Environment. 876. 162768–162768. 1 indexed citations
6.
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
7.
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
8.
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
9.
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
10.
Jiménez, Tamara, Javier García‐Pérez, Pilar Lucas, et al.. (2021). Occupation, occupational exposures and mammographic density in Spanish women. Environmental Research. 195. 110816–110816. 8 indexed citations
11.
Pérez-Cortés, Juan-Carlos, Marina Pollán, Beatriz Pérez‐Gómez, et al.. (2020). A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation. Computer Methods and Programs in Biomedicine. 195. 105668–105668. 24 indexed citations
12.
Pozo, María del, Adela Castelló, Carmen Vidal, et al.. (2018). Overeating, caloric restriction and mammographic density in Spanish women. DDM-Spain study. Maturitas. 117. 57–63. 1 indexed citations
13.
Lope, Virginia, Carmen Sánchez‐Contador, Pilar Moreo, et al.. (2017). High Mammographic Density in Long-Term Night-Shift Workers: DDM-Spain/Var-DDM. Cancer Epidemiology Biomarkers & Prevention. 26(6). 905–913. 5 indexed citations
14.
Lope, Virginia, Javier García‐Pérez, Beatriz Pérez‐Gómez, et al.. (2017). Occupational exposures and mammographic density in Spanish women. Occupational and Environmental Medicine. 75(2). 124–131. 11 indexed citations
15.
Lope, Virginia, Pilar Moreo, Nieves Ascunce, et al.. (2017). Sleep patterns, sleep disorders and mammographic density in spanish women: The DDM-Spain/Var-DDM study. Maturitas. 99. 105–108. 2 indexed citations
16.
Lope, Virginia, Carmen Vidal, Carmen Sánchez‐Contador, et al.. (2017). Thyroid disorders and mammographic density in Spanish women: Var-DDM study. The Breast. 34. 12–17. 2 indexed citations
17.
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
18.
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
19.
Llobet, Rafael, Marina Pollán, María Rosa Casals, et al.. (2014). Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction. Computer Methods and Programs in Biomedicine. 116(2). 105–115. 26 indexed citations
20.
Llobet, Rafael, et al.. (2006). Computer-aided detection of prostate cancer. International Journal of Medical Informatics. 76(7). 547–556. 52 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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