Tomas Ruzgas

25 papers and 318 indexed citations i.

About

Tomas Ruzgas is a scholar working on Artificial Intelligence, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Tomas Ruzgas has authored 25 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 6 papers in Economics and Econometrics. Recurrent topics in Tomas Ruzgas’s work include Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (5 papers) and Municipal Solid Waste Management (4 papers). Tomas Ruzgas is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (5 papers) and Municipal Solid Waste Management (4 papers). Tomas Ruzgas collaborates with scholars based in Lithuania, Ukraine and Switzerland. Tomas Ruzgas's co-authors include Гінтарас Денафас, Dainius Martuzevičius, Viktoras Račys, Christian Ludwig, Alexander Chusov, Daimantas Milonas, Mindaugas Jievaltas, Steven Joniau, Vaida Pilinkienė and Andrius Grybauskas and has published in prestigious journals such as Resources Conservation and Recycling, Cancers and Waste Management & Research The Journal for a Sustainable Circular Economy.

In The Last Decade

Co-authorship network of co-authors of Tomas Ruzgas i

Fields of papers citing papers by Tomas Ruzgas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomas Ruzgas

Since Specialization
Citations

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