Rimas Norvaiša

535 citations
36 papers · 262 indexed · h-index 8
Topics
Stochastic processes and financial applications (18 papers)Probability and Risk Models (10 papers)Advanced Banach Space Theory (7 papers)
Journals
SHILAP Revista de lepidopterologíaLecture notes in mathematicsThe Annals of Probability

In The Last Decade

Rimas Norvaiša

31 papers receiving 216 citations

Peers

Rimas Norvaiša
Comparison fields: 5 of 41
  • Finance 133
  • Mathematical Physics 81
  • Applied Mathematics 59
  • Management Science and Operations Research 59
  • Statistics and Probability 55
Replace Lucia Caramellino with:
Lucia Caramellino Italy
J.M.P. Albin Sweden
Ely Merzbach Israel
Marco Dozzi France
Hacène Djellout France
Jean -Michel Bismut France
Clyde D. Hardin United States
Alfredas Račkauskas Lithuania
R. Cairoli Switzerland
J. David Mason United States
Rimas Norvaiša relative to Lucia Caramellino Italy Lucia Caramellino's profile →
Citations per field
00.5×1.5×
Lucia Caramellino · 1×
Citations per year

Countries citing papers authored by Rimas Norvaiša

Since Specialization
Citations

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

Fields of papers citing papers by Rimas Norvaiša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rimas Norvaiša

This figure shows the co-authorship network connecting the top 25 collaborators of Rimas Norvaiša. A scholar is included among the top collaborators of Rimas Norvaiša based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rimas Norvaiša. Rimas Norvaiša is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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8 15
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About Rimas Norvaiša

Rimas Norvaiša is a scholar working on Mathematical Physics, Finance and Applied Mathematics, having authored 36 papers that have together received 262 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (18 papers), Probability and Risk Models (10 papers) and Advanced Banach Space Theory (7 papers). The work is most often cited by research in Finance (133 citations), Mathematical Physics (81 citations) and Statistics and Probability (55 citations). Rimas Norvaiša has collaborated with scholars based in Lithuania, Canada and United States. Frequent co-authors include R. M. Dudley, Richard M. Dudley, Thomas Mikosch, Miklós Csörgő, Vygantas Paulauskas, Gennady Samorodnitsky, Ričardas Zitikis, Evarist Giné, Alfredas Račkauskas and Vladimir Koltchinskii. Their work appears in journals such as SHILAP Revista de lepidopterología, Lecture notes in mathematics and The Annals of Probability.

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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