Matea Pavic

27 papers and 570 indexed citations i.

About

Matea Pavic is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matea Pavic has authored 27 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matea Pavic’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Radiotherapy Techniques (7 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Matea Pavic is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Radiotherapy Techniques (7 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Matea Pavic collaborates with scholars based in Switzerland, Italy and Germany. Matea Pavic's co-authors include Matthias Gückenberger, Stephanie Tanadini‐Lang, Marta Bogowicz, Martin W. Huellner, Diem Vuong, Johannes Kraft, Gudrun Theile, Oliver Riesterer, Gerhard Tröster and Nicolaus Andratschke and has published in prestigious journals such as Clinical Cancer Research, International Journal of Radiation Oncology*Biology*Physics and Annals of Oncology.

In The Last Decade

Co-authorship network of co-authors of Matea Pavic i

Fields of papers citing papers by Matea Pavic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matea Pavic

Since Specialization
Citations

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