V. Čekanavičius

137 total papers · 804 total citations
67 papers, 413 citations indexed

About

V. Čekanavičius is a scholar working on Statistics and Probability, Management Science and Operations Research and Mathematical Physics. According to data from OpenAlex, V. Čekanavičius has authored 67 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 21 papers in Management Science and Operations Research and 17 papers in Mathematical Physics. Recurrent topics in V. Čekanavičius's work include Random Matrices and Applications (30 papers), Probability and Risk Models (21 papers) and Bayesian Methods and Mixture Models (13 papers). V. Čekanavičius is often cited by papers focused on Random Matrices and Applications (30 papers), Probability and Risk Models (21 papers) and Bayesian Methods and Mixture Models (13 papers). V. Čekanavičius collaborates with scholars based in Lithuania, India and Germany. V. Čekanavičius's co-authors include A. D. Barbour, Bero Roos, P. Vellaisamy, Jonas Šiaulys, S. Y. Novak, Erol A. Peköz, Michael Shwartz and Adrian Röllin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Probability and Probability Theory and Related Fields.

In The Last Decade

V. Čekanavičius

62 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
V. Čekanavičius	266	158	136	116	101	67	413
Vladimir Rotar	185 0.7×	79 0.5×	81 0.6×	199 1.7×	53 0.5×	49	444
Ion Grama	188 0.7×	134 0.8×	62 0.5×	140 1.2×	43 0.4×	56	456
Roelof Helmers	312 1.2×	101 0.6×	128 0.9×	59 0.5×	88 0.9×	45	426
Lothar Rogge	186 0.7×	95 0.6×	30 0.2×	189 1.6×	136 1.3×	64	435
Dieter Landers	182 0.7×	86 0.5×	30 0.2×	164 1.4×	109 1.1×	54	390
R. Bojanić	245 0.9×	51 0.3×	63 0.5×	106 0.9×	208 2.1×	30	461
Fuqing Gao	124 0.5×	123 0.8×	50 0.4×	134 1.2×	100 1.0×	56	455
Loren D. Pitt	120 0.5×	93 0.6×	42 0.3×	235 2.0×	124 1.2×	35	482
Владимир Гаврилович Михайлов	95 0.4×	37 0.2×	137 1.0×	120 1.0×	31 0.3×	86	369
A. M. Zubkov	128 0.5×	48 0.3×	126 0.9×	274 2.4×	15 0.1×	41	400

Countries citing papers authored by V. Čekanavičius

Since Specialization

Citations

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

Fields of papers citing papers by V. Čekanavičius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Čekanavičius

This figure shows the co-authorship network connecting the top 25 collaborators of V. Čekanavičius. A scholar is included among the top collaborators of V. Čekanavičius 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 V. Čekanavičius. V. Čekanavičius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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