V. Rapševičius

4 papers and 7 indexed citations i.

About

V. Rapševičius is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, V. Rapševičius has authored 4 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in V. Rapševičius’s work include Distributed and Parallel Computing Systems (2 papers), Particle Detector Development and Performance (2 papers) and Particle physics theoretical and experimental studies (2 papers). V. Rapševičius is often cited by papers focused on Distributed and Parallel Computing Systems (2 papers), Particle Detector Development and Performance (2 papers) and Particle physics theoretical and experimental studies (2 papers). V. Rapševičius collaborates with scholars based in United States, Lithuania and South Korea. V. Rapševičius's co-authors include Mantas Stankevičius, I. Chakaberia, Virginijus Marcinkevičius, K. Maeshima, Sachiko Toda, U. Behrens, W. Badgett, S. Maruyama and J. Patrick and has published in prestigious journals such as Nonlinear Analysis Modelling and Control and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of V. Rapševičius i

Fields of papers citing papers by V. Rapševičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by V. Rapševičius

Since Specialization
Citations

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