Magdalini Paschali

12 papers and 68 indexed citations i.

About

Magdalini Paschali is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Magdalini Paschali has authored 12 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 3 papers in Health Informatics. Recurrent topics in Magdalini Paschali’s work include Artificial Intelligence in Healthcare and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and COVID-19 diagnosis using AI (2 papers). Magdalini Paschali is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and COVID-19 diagnosis using AI (2 papers). Magdalini Paschali collaborates with scholars based in United States, Germany and Iran. Magdalini Paschali's co-authors include Nassir Navab, Walter Simson, Guillaume Zahnd, Emad Fatemizadeh, Qingyu Zhao, Fiona C. Baker, Rickmer Braren, Thomas Wendler, Marcus R. Makowski and Ehsan Adeli and has published in prestigious journals such as Scientific Reports, Radiology and Journal of Affective Disorders.

In The Last Decade

Co-authorship network of co-authors of Magdalini Paschali i

Fields of papers citing papers by Magdalini Paschali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Magdalini Paschali

Since Specialization
Citations

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