Arvydas Laurinavičius

103 papers and 1.6k indexed citations i.

About

Arvydas Laurinavičius is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arvydas Laurinavičius has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 28 papers in Oncology and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arvydas Laurinavičius’s work include AI in cancer detection (31 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Renal Diseases and Glomerulopathies (10 papers). Arvydas Laurinavičius is often cited by papers focused on AI in cancer detection (31 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Renal Diseases and Glomerulopathies (10 papers). Arvydas Laurinavičius collaborates with scholars based in Lithuania, France and United Kingdom. Arvydas Laurinavičius's co-authors include Aida Laurinavičienė, Helmut G. Rennke, Darius Dasevičius, Shelley Hurwitz, Benoît Plancoulaine, Paulette Herlin, Sonata Jarmalaitė, Juozas Rimantas Lazutka, Justinas Besusparis and Valerijus Ostapenko and has published in prestigious journals such as PLoS ONE, Scientific Reports and Kidney International.

In The Last Decade

Co-authorship network of co-authors of Arvydas Laurinavičius i

Fields of papers citing papers by Arvydas Laurinavičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arvydas Laurinavičius

Since Specialization
Citations

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