Lithuanian Mathematical Journal

1.5k papers and 6.1k indexed citations i.

About

The 1.5k papers published in Lithuanian Mathematical Journal in the last decades have received a total of 6.1k indexed citations. Papers published in Lithuanian Mathematical Journal usually cover Mathematical Physics (560 papers), Applied Mathematics (451 papers) and Management Science and Operations Research (303 papers) specifically the topics of Probability and Risk Models (273 papers), Stochastic processes and financial applications (209 papers) and Analytic Number Theory Research (198 papers). The most active scholars publishing in Lithuanian Mathematical Journal are Antanas Laurinčikas, B. Grigelionis, V. Bentkus, Remigijus Leipus, Eugenijus Manstavičius, Vygantas Paulauskas, V. Čekanavičius, Jonas Šiaulys, Liudas Giraitis and Донатас Сургайлис.

In The Last Decade

Fields of papers published in Lithuanian Mathematical Journal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Lithuanian Mathematical Journal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Lithuanian Mathematical Journal.

Countries where authors publish in Lithuanian Mathematical Journal

Since Specialization
Citations

This map shows the geographic impact of research published in Lithuanian Mathematical Journal. 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 papers published in Lithuanian Mathematical Journal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lithuanian Mathematical Journal 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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