Aurelio Ariza

521 total citations
4 papers, 61 citations indexed

About

Aurelio Ariza is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Aurelio Ariza has authored 4 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Oncology. Recurrent topics in Aurelio Ariza's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Radiation Dose and Imaging (1 paper) and Cervical Cancer and HPV Research (1 paper). Aurelio Ariza is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Radiation Dose and Imaging (1 paper) and Cervical Cancer and HPV Research (1 paper). Aurelio Ariza collaborates with scholars based in Spain, Sweden and Netherlands. Aurelio Ariza's co-authors include Hans L. M. Beck, Marcial García Rojo, Veli‐Pekka Lehto, Sıtkı Tuzlalı, Johan Lundin, Ewert Linder, J. Han van Krieken, Mikael Lundin, Sergülen Dervişoğlu and Peter De Wilde and has published in prestigious journals such as The Journal of Pathology, Human Pathology and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

In The Last Decade

Aurelio Ariza

3 papers receiving 60 citations

Peers

Aurelio Ariza
Comparison fields: 5 of 37
  • Oncology 29
  • Artificial Intelligence 16
  • Molecular Biology 11
  • Epidemiology 9
  • Biomedical Engineering 8
Replace Aryeh Stock with:
Aryeh Stock United States
Forhad Uddin Hasan Chowdhury Bangladesh
Xiaoyan Jiang China
Ben Aldridge United Kingdom
Tova Rogers United States
Akanksha Maurya United States
Atsushi Saito Japan
Sarah Dudgeon United States
Qian Qin China
Antoni Van Leeuwenhoek Netherlands
Aryeh Stock United States View profile →
Citations per field, relative to Aurelio Ariza
Aurelio Ariza · 1×
Citations per year, relative to Aurelio Ariza
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Countries citing papers authored by Aurelio Ariza

Since Specialization
Citations

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

Fields of papers citing papers by Aurelio Ariza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurelio Ariza

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

All Works

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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2026