Leonor Cerdá-Alberich

640 total citations
13 papers, 92 citations indexed

About

Leonor Cerdá-Alberich is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Biomedical Engineering. According to data from OpenAlex, Leonor Cerdá-Alberich has authored 13 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Neurology and 3 papers in Biomedical Engineering. Recurrent topics in Leonor Cerdá-Alberich's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers) and Attachment and Relationship Dynamics (2 papers). Leonor Cerdá-Alberich is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers) and Attachment and Relationship Dynamics (2 papers). Leonor Cerdá-Alberich collaborates with scholars based in Spain, Austria and United Kingdom. Leonor Cerdá-Alberich's co-authors include Luis Martí‐Bonmatí, Ángel Alberich‐Bayarri, Roberto Díaz Beveridge, Eva Montalvá, Jaime Ferrer-Lozano, Dawn Walker, Miguel F. Segura, Josep Roma, Haridimos Kondylakis and Olga Piskareva and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and British Journal of Radiology.

In The Last Decade

Leonor Cerdá-Alberich

11 papers receiving 90 citations

Peers

Leonor Cerdá-Alberich

RNMI

ONCOL

L. Cerdá Alberich Spain

Adam Shephard United Kingdom

Jean Feydy France

Jack Zeineh United States

Ahmed E. Fetit United Kingdom

Maliazurina B. Saad United States

Moro Salifu United States

Amy J. Weisman United States

Mateo Sokač Denmark

Seyyed Ali Hosseini Iran

L. Cerdá Alberich Spain

Leonor Cerdá-Alberich

46 ×0.9

RNMI

13 ×0.6

11 ×0.6

ONCOL

14 ×0.7

13 ×0.9

Citations per year, relative to Leonor Cerdá-Alberich Leonor Cerdá-Alberich (= 1×) peers L. Cerdá Alberich

Countries citing papers authored by Leonor Cerdá-Alberich

Since Specialization

Citations

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

Fields of papers citing papers by Leonor Cerdá-Alberich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonor Cerdá-Alberich. 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 Leonor Cerdá-Alberich. The network helps show where Leonor Cerdá-Alberich may publish in the future.

Co-authorship network of co-authors of Leonor Cerdá-Alberich

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

All Works

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13 of 13 papers shown

Cerdá-Alberich, Leonor, et al.. (2025). Machine learning diagnostic model for amyotrophic lateral sclerosis analysis using MRI-derived features. Neuroradiology. 67(10). 2803–2812. 1 indexed citations

Chouvarda, Ioanna, Sara Colantonio, Ana Jiménez-Pastor, et al.. (2025). Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!. European Radiology Experimental. 9(1). 7–7. 1 indexed citations

Jiménez-Pastor, Ana, Glen J. Weiss, Leonor Cerdá-Alberich, et al.. (2024). Overall survival prediction and risk stratification in patients with neuroblastoma through machine learning in the large multi-institutional PRIMAGE cohort.. Journal of Clinical Oncology. 42(16_suppl). 10054–10054.

Romero‐Martínez, Ángel, Leonor Cerdá-Alberich, Fernando Aparici, et al.. (2024). The role of intimate partner violence perpetrators' resting state functional connectivity in treatment compliance and recidivism. Scientific Reports. 14(1). 2472–2472. 1 indexed citations

Romero‐Martínez, Ángel, Leonor Cerdá-Alberich, Fernando Aparici, et al.. (2024). Executive dysfunction and cortical variations among intimate partner violence perpetrators and the association with sexism. Social Cognitive and Affective Neuroscience. 19(1).

Ferrer-Lozano, Jaime, et al.. (2024). Deep learning automatic semantic segmentation of glioblastoma multiforme regions on multimodal magnetic resonance images. International Journal of Computer Assisted Radiology and Surgery. 19(9). 1743–1751. 6 indexed citations

Cerdá-Alberich, Leonor, et al.. (2024). Design and validation of a decision support checklist for efficient resource allocation in research projects during proposal preparation. European Journal of Radiology. 173. 111362–111362. 1 indexed citations

Cerdá-Alberich, Leonor, et al.. (2023). MAIC–10 brief quality checklist for publications using artificial intelligence and medical images. Insights into Imaging. 14(1). 11–11. 27 indexed citations

Cerdá-Alberich, Leonor, et al.. (2023). Harnessing multimodal clinical predictive models for childhood tumors. 71–72. 1 indexed citations

10.

Martí‐Bonmatí, Luis, et al.. (2022). Pancreatic cancer, radiomics and artificial intelligence. British Journal of Radiology. 95(1137). 20220072–20220072. 22 indexed citations

11.

Torres-Espallardó, I., Consuelo Cháfer‐Pericás, Leonor Cerdá-Alberich, et al.. (2022). Artificial Intelligence on FDG PET Images Identifies Mild Cognitive Impairment Patients with Neurodegenerative Disease. Journal of Medical Systems. 46(8). 52–52. 7 indexed citations

12.

Kondylakis, Haridimos, Esther Ciarrocchi, Leonor Cerdá-Alberich, et al.. (2022). Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks. European Radiology Experimental. 6(1). 29–29. 13 indexed citations

13.

Segura, Miguel F., Aroa Soriano, Josep Roma, et al.. (2021). Methodological advances in the discovery of novel neuroblastoma therapeutics. Expert Opinion on Drug Discovery. 17(2). 167–179. 12 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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