L. Lloret Iglesias

80.6k total citations
27 papers, 173 citations indexed

About

L. Lloret Iglesias is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, L. Lloret Iglesias has authored 27 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in L. Lloret Iglesias's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Asphalt Pavement Performance Evaluation (4 papers) and Infrastructure Maintenance and Monitoring (4 papers). L. Lloret Iglesias is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Asphalt Pavement Performance Evaluation (4 papers) and Infrastructure Maintenance and Monitoring (4 papers). L. Lloret Iglesias collaborates with scholars based in Spain, Chile and Belgium. L. Lloret Iglesias's co-authors include P. Martínez Ruiz del Árbol, Gorka Bastarrika, Daniel Castro‐Fresno, D. Rodríguez, José A. Vega, Pedro Lastra-González, Ignacio Heredia, Diego Ferreño, Miguel Cuartas and C. Fernandez Madrazo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

L. Lloret Iglesias

19 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Lloret Iglesias Spain 8 52 41 33 30 24 27 173
Yibo Jiang China 11 48 0.9× 23 0.6× 28 0.8× 39 1.3× 4 0.2× 29 288
Yingjian Yang China 11 168 3.2× 19 0.5× 79 2.4× 23 0.8× 14 0.6× 38 353
Iason Katsamenis Greece 9 117 2.3× 67 1.6× 22 0.7× 70 2.3× 22 0.9× 15 249
Mariana Bento Canada 7 68 1.3× 51 1.2× 25 0.8× 23 0.8× 2 0.1× 25 204
Kyungsu Lee South Korea 9 50 1.0× 6 0.1× 41 1.2× 57 1.9× 27 1.1× 25 307
Wanni Xu China 6 65 1.3× 6 0.1× 40 1.2× 53 1.8× 7 0.3× 11 224
You-Lei Fu China 6 67 1.3× 6 0.1× 46 1.4× 53 1.8× 7 0.3× 8 233
Judith Mengelkamp Germany 5 325 6.3× 12 0.3× 22 0.7× 28 0.9× 13 0.5× 7 421
Maciej Koźlik Poland 5 56 1.1× 4 0.1× 19 0.6× 41 1.4× 37 1.5× 12 246

Countries citing papers authored by L. Lloret Iglesias

Since Specialization
Citations

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

Fields of papers citing papers by L. Lloret Iglesias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Lloret Iglesias. 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 L. Lloret Iglesias. The network helps show where L. Lloret Iglesias may publish in the future.

Co-authorship network of co-authors of L. Lloret Iglesias

This figure shows the co-authorship network connecting the top 25 collaborators of L. Lloret Iglesias. A scholar is included among the top collaborators of L. Lloret Iglesias 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 L. Lloret Iglesias. L. Lloret Iglesias 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.
Iglesias, L. Lloret, et al.. (2025). Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers. Artificial Intelligence in Medicine. 169. 103251–103251.
2.
Iglesias, L. Lloret, et al.. (2024). Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment. Results in Engineering. 23. 102745–102745. 10 indexed citations
3.
Iglesias, L. Lloret, et al.. (2024). An end-to-end computer vision system based on deep learning for pavement distress detection and quantification. Construction and Building Materials. 416. 135036–135036. 21 indexed citations
4.
Iglesias, L. Lloret, et al.. (2024). Classification of Cast Iron Alloys through Convolutional Neural Networks Applied on Optical Microscopy Images. steel research international. 95(12). 1 indexed citations
5.
Iglesias, L. Lloret, et al.. (2024). Leveraging a deep learning generative model to enhance recognition of minor asphalt defects. Scientific Reports. 14(1). 28904–28904. 3 indexed citations
6.
Rodríguez, D., et al.. (2024). A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays. Scientific Reports. 14(1). 14657–14657. 3 indexed citations
7.
Heredia, Ignacio, L. Lloret Iglesias, Sílvia Yuste, et al.. (2024). Novel digital-based approach for evaluating wine components’ intake: A deep learning model to determine red wine volume in a glass from single-view images. Heliyon. 10(15). e35689–e35689.
8.
Iglesias, L. Lloret, et al.. (2023). Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance. Developments in the Built Environment. 17. 100315–100315. 12 indexed citations
9.
Heredia, Ignacio, et al.. (2023). Novel deep learning method for coronary artery tortuosity detection through coronary angiography. Scientific Reports. 13(1). 11137–11137. 1 indexed citations
10.
Heredia, Ignacio, L. Lloret Iglesias, Begoña Bartolomé, et al.. (2022). Artificial intelligence to estimate wine volume from single-view images. Heliyon. 8(9). e10557–e10557. 6 indexed citations
11.
Iglesias, L. Lloret, et al.. (2022). Artificial Intelligence in Radiology: an introduction to the most important concepts. Radiología (English Edition). 64(3). 228–236. 2 indexed citations
12.
Rodríguez, D., et al.. (2022). A deep learning model for prognosis prediction after intracranial hemorrhage. Journal of Neuroimaging. 33(2). 218–226. 13 indexed citations
13.
Iglesias, L. Lloret, et al.. (2022). Inteligencia artificial en Radiología: introducción a los conceptos más importantes. Radiología. 64(3). 228–236.
14.
Pablo‐Marcos, Daniel, et al.. (2021). Utilidad de los enjuagues con povidona yodada y peróxido de hidrógeno en pacientes con COVID-19. Enfermedades Infecciosas y Microbiología Clínica. 41(3). 173–175. 1 indexed citations
15.
Iglesias, L. Lloret, et al.. (2021). Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray. Journal of Digital Imaging. 34(2). 242–256. 4 indexed citations
16.
Iglesias, L. Lloret, et al.. (2021). A primer on deep learning and convolutional neural networks for clinicians. Insights into Imaging. 12(1). 117–117. 27 indexed citations
17.
Piera, Jaume, et al.. (2020). Cos4Cloud - Integrating Citizen Science in the European Open Science Cloud: Challenges and opportunities for developing a new generation of Citizen Science Observatories. DIGITAL.CSIC (Spanish National Research Council (CSIC)).
18.
Jarrin, E. Carrera, C. Lange, K. Lassila-Perini, et al.. (2020). Open data provenance and reproducibility: a case study from publishing CMS open data. SHILAP Revista de lepidopterología. 245. 8014–8014.
19.
Madrazo, C. Fernandez, Ignacio Heredia, L. Lloret Iglesias, & J. Marco. (2019). Application of a Convolutional Neural Network for image classification for the analysis of collisions in High Energy Physics. SHILAP Revista de lepidopterología. 7 indexed citations
20.
Heredia, Ignacio, et al.. (2019). Plants classification engine. DIGITAL.CSIC (Spanish National Research Council (CSIC)).

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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