L. Cerdá Alberich

33.1k citations
16 papers · 98 indexed · h-index 6
Topics
Medical Imaging Techniques and Applications (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Particle Detector Development and Performance (5 papers)
Partner nations
SpainAustriaItaly

In The Last Decade

L. Cerdá Alberich

10 papers receiving 98 citations

Peers

L. Cerdá Alberich
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 46
  • Neurology 27
  • Health Informatics 14
  • Genetics 13
  • Artificial Intelligence 13
Replace Leonor Cerdá-Alberich with:
Leonor Cerdá-Alberich Spain
Patrick Bourgouin United States
Timothy Barry United States
Ibrahim Mohammadzadeh Iran
Murat Ak United States
Mahdi Hosseinzadeh Iran
Krishna Nand Keshava Murthy United States
Hwa‐Yen Chiu Taiwan
Laura Kerschke Germany
Levente Lánczi Hungary
L. Cerdá Alberich relative to Leonor Cerdá-Alberich Spain Leonor Cerdá-Alberich's profile →
Citations per field
00.5×4.3×
Leonor Cerdá-Alberich · 1×
Citations per year

Countries citing papers authored by L. Cerdá Alberich

Since Specialization
Citations

This map shows the geographic impact of L. 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 L. 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 L. Cerdá Alberich more than expected).

Fields of papers citing papers by L. Cerdá Alberich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Cerdá Alberich

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 2
6 12
7 26
8 27
9 11
10 10
11 7
12 1
13 0
14 0
15 0
16 1

About L. Cerdá Alberich

L. Cerdá Alberich is a scholar working on Health Informatics, Family Practice and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 98 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Particle Detector Development and Performance (5 papers). The work is most often cited by research in Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (46 citations) and Neurology (27 citations). L. Cerdá Alberich has collaborated with scholars based in Spain, Austria and Italy. Frequent co-authors include Luis Martí‐Bonmatí, Adela Cañete, José Miguel Carot Sierra, Emanuele Neri, Michela Gabelloni, Ulrike Pötschger, Ruth Ladenstein, Sabine Taschner‐Mandl, Ángel Alberich‐Bayarri and Fabiola Paiar. Their work appears in journals such as International Journal of Molecular Sciences, Cancers and Frontiers in Oncology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026