Raimundas Meškauskas

21 papers and 338 indexed citations i.

About

Raimundas Meškauskas is a scholar working on Cancer Research, Artificial Intelligence and Oncology. According to data from OpenAlex, Raimundas Meškauskas has authored 21 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 6 papers in Artificial Intelligence and 6 papers in Oncology. Recurrent topics in Raimundas Meškauskas’s work include Breast Cancer Treatment Studies (9 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Raimundas Meškauskas is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Raimundas Meškauskas collaborates with scholars based in Lithuania, France and United Kingdom. Raimundas Meškauskas's co-authors include Aida Laurinavičienė, Arvydas Laurinavičius, Justinas Besusparis, Benoît Plancoulaine, Paulette Herlin, Ian O. Ellis, Nomeda Valevičienė, Vytautas Sirvydis, Darius Dasevičius and Nicolas Elie and has published in prestigious journals such as Oncotarget, Breast Cancer Research and Molecular Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Raimundas Meškauskas i

Fields of papers citing papers by Raimundas Meškauskas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raimundas Meškauskas

Since Specialization
Citations

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