Justinas Besusparis

27 papers and 320 indexed citations i.

About

Justinas Besusparis is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Justinas Besusparis has authored 27 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Cancer Research. Recurrent topics in Justinas Besusparis’s work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Breast Cancer Treatment Studies (7 papers). Justinas Besusparis is often cited by papers focused on AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Breast Cancer Treatment Studies (7 papers). Justinas Besusparis collaborates with scholars based in Lithuania, France and United Kingdom. Justinas Besusparis's co-authors include Arvydas Laurinavičius, Aida Laurinavičienė, Benoît Plancoulaine, Paulette Herlin, Raimundas Meškauskas, Ian O. Ellis, Allan G. Rasmusson, Andrew R. Green, Darius Dasevičius and Nicolas Elie and has published in prestigious journals such as Expert Systems with Applications, Breast Cancer Research and Frontiers in Oncology.

In The Last Decade

Co-authorship network of co-authors of Justinas Besusparis i

Fields of papers citing papers by Justinas Besusparis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Justinas Besusparis

Since Specialization
Citations

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