Federico Pineda

25 papers and 465 indexed citations i.

About

Federico Pineda is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Federico Pineda has authored 25 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Biomedical Engineering and 2 papers in Cancer Research. Recurrent topics in Federico Pineda’s work include MRI in cancer diagnosis (23 papers), Advanced MRI Techniques and Applications (21 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Federico Pineda is often cited by papers focused on MRI in cancer diagnosis (23 papers), Advanced MRI Techniques and Applications (21 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Federico Pineda collaborates with scholars based in United States, Japan and China. Federico Pineda's co-authors include Gregory S. Karczmar, Hiroyuki Abé, David Schacht, Xiaobing Fan, Milica Medved, Naoko Mori, Keiko Tsuchiya, Chengyue Wu, Thomas E. Yankeelov and David A. Hormuth and has published in prestigious journals such as PLoS ONE, Cancer Research and Magnetic Resonance in Medicine.

In The Last Decade

Co-authorship network of co-authors of Federico Pineda i

Fields of papers citing papers by Federico Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Pineda

Since Specialization
Citations

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

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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2025