B. Kaulakys

99 total papers · 1.2k total citations
57 papers, 868 citations indexed

About

B. Kaulakys is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, B. Kaulakys has authored 57 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistical and Nonlinear Physics, 26 papers in Economics and Econometrics and 25 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in B. Kaulakys's work include Complex Systems and Time Series Analysis (26 papers), Cold Atom Physics and Bose-Einstein Condensates (16 papers) and Quantum chaos and dynamical systems (12 papers). B. Kaulakys is often cited by papers focused on Complex Systems and Time Series Analysis (26 papers), Cold Atom Physics and Bose-Einstein Condensates (16 papers) and Quantum chaos and dynamical systems (12 papers). B. Kaulakys collaborates with scholars based in Lithuania, China and Germany. B. Kaulakys's co-authors include Vygintas Gontis, Julius Ruseckas, Tadas Meškauskas, Aleksejus Kononovičius, G. Hermann, Feliksas Ivanauskas, Greg Mahr, A. Scharmann, Giovanni Basso and Massimo Macucci and has published in prestigious journals such as Physical Review A, Physics Letters A and Physica A Statistical Mechanics and its Applications.

In The Last Decade

B. Kaulakys

53 papers receiving 823 citations

Author Peers

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

Author						Papers	Cites
B. Kaulakys	371	327	326	147	118	57	868
Joseph L. McCauley	329 0.9×	97 0.3×	450 1.4×	215 1.5×	74 0.6×	65	951
Pierpaolo Vivo	398 1.1×	328 1.0×	100 0.3×	42 0.3×	130 1.1×	61	1.0k
Jitendra C. Parikh	211 0.6×	314 1.0×	141 0.4×	42 0.3×	21 0.2×	83	913
Stefano Marmi	401 1.1×	59 0.2×	150 0.5×	121 0.8×	27 0.2×	73	820
Belal E. Baaquie	258 0.7×	260 0.8×	385 1.2×	426 2.9×	88 0.7×	88	902
M. Courbage	528 1.4×	224 0.7×	67 0.2×	17 0.1×	88 0.7×	61	880
Piotr Garbaczewski	513 1.4×	456 1.4×	32 0.1×	23 0.2×	113 1.0×	91	890
A. N. Proto	467 1.3×	410 1.3×	125 0.4×	14 0.1×	173 1.5×	86	880
F. Pennini	776 2.1×	301 0.9×	338 1.0×	13 0.1×	181 1.5×	92	931
Gábor Papp	207 0.6×	160 0.5×	90 0.3×	34 0.2×	23 0.2×	81	953

Countries citing papers authored by B. Kaulakys

Since Specialization

Citations

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

Fields of papers citing papers by B. Kaulakys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Kaulakys

This figure shows the co-authorship network connecting the top 25 collaborators of B. Kaulakys. A scholar is included among the top collaborators of B. Kaulakys 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 B. Kaulakys. B. Kaulakys 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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