Tibor Vág

45 papers and 1.1k indexed citations i.

About

Tibor Vág is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tibor Vág has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pathology and Forensic Medicine and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tibor Vág’s work include MRI in cancer diagnosis (28 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Advanced MRI Techniques and Applications (12 papers). Tibor Vág is often cited by papers focused on MRI in cancer diagnosis (28 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Advanced MRI Techniques and Applications (12 papers). Tibor Vág collaborates with scholars based in Germany, United States and Taiwan. Tibor Vág's co-authors include Werner A. Kaiser, Pascal Baltzer, Mieczysław Gajda, Matthias Dietzel, Oumar Camara, Markus Schwaiger, Hans‐Jürgen Wester, Aimée Herzog, Ulrich Keller and Peter Herhaus and has published in prestigious journals such as Blood, International Journal of Radiation Oncology*Biology*Physics and European Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Tibor Vág i

Fields of papers citing papers by Tibor Vág

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tibor Vág

Since Specialization
Citations

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