Leonor Cerdá-Alberich

27 total papers · 597 total citations
12 papers, 87 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 12 papers receiving a total of 87 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 Artificial Intelligence in Healthcare and Education (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 Artificial Intelligence in Healthcare and Education (2 papers). Leonor Cerdá-Alberich collaborates with scholars based in Spain, United Kingdom and Austria. Leonor Cerdá-Alberich's co-authors include Luis Martí‐Bonmatí, Ángel Alberich‐Bayarri, Roberto Díaz Beveridge, Eva Montalvá, Jaime Ferrer-Lozano, Michelle Haber, Aroa Soriano, Guang Yang, Olga Piskareva and Esther Ciarrocchi 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

9 papers receiving 85 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Leonor Cerdá-Alberich	52	20	20	19	14	12	87
L. Cerdá Alberich	45 0.9×	10 0.5×	13 0.7×	14 0.7×	12 0.9×	15	92
Chaoqun Mei	16 0.3×	19 0.9×	11 0.6×	14 0.7×	10 0.7×	12	244
Jack Zeineh	33 0.6×	20 1.0×	50 2.5×	7 0.4×	5 0.4×	14	102
Haris Shuaib	87 1.7×	4 0.2×	18 0.9×	17 0.9×	12 0.9×	15	218
Maliazurina B. Saad	57 1.1×	7 0.3×	40 2.0×	10 0.5×	14 1.0×	11	109
David Molina-García	92 1.8×	24 1.2×	10 0.5×	7 0.4×	29 2.1×	10	145
Adam Shephard	62 1.2×	10 0.5×	66 3.3×	10 0.5×	3 0.2×	11	121
Gengbo Liu	105 2.0×	12 0.6×	58 2.9×	9 0.5×	44 3.1×	10	229
Ahmed E. Fetit	122 2.3×	14 0.7×	35 1.8×	15 0.8×	15 1.1×	12	169
Maxime Blain	61 1.2×	6 0.3×	19 0.9×	12 0.6×	23 1.6×	11	123

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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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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