Szabolcs Szakáll

34 papers and 507 indexed citations i.

About

Szabolcs Szakáll is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Szabolcs Szakáll has authored 34 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Epidemiology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Szabolcs Szakáll’s work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (9 papers) and Neuroendocrine Tumor Research Advances (5 papers). Szabolcs Szakáll is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (9 papers) and Neuroendocrine Tumor Research Advances (5 papers). Szabolcs Szakáll collaborates with scholars based in Hungary, Sweden and United States. Szabolcs Szakáll's co-authors include Lajos Trón, Imre Repa, Gábor Bajzik, Olga Ésik, Péter Ágoston, István Sinkovics, L. Kozma, István Kiss, István Ember and Gabriella Lakos and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Letters.

In The Last Decade

Co-authorship network of co-authors of Szabolcs Szakáll i

Fields of papers citing papers by Szabolcs Szakáll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Szabolcs Szakáll

Since Specialization
Citations

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