G. P. Pavlos

72 total papers · 976 total citations
45 papers, 659 citations indexed

About

G. P. Pavlos is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Geophysics. According to data from OpenAlex, G. P. Pavlos has authored 45 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistical and Nonlinear Physics, 30 papers in Economics and Econometrics and 9 papers in Geophysics. Recurrent topics in G. P. Pavlos's work include Complex Systems and Time Series Analysis (30 papers), Statistical Mechanics and Entropy (20 papers) and Chaos control and synchronization (16 papers). G. P. Pavlos is often cited by papers focused on Complex Systems and Time Series Analysis (30 papers), Statistical Mechanics and Entropy (20 papers) and Chaos control and synchronization (16 papers). G. P. Pavlos collaborates with scholars based in Greece, Germany and Russia. G. P. Pavlos's co-authors include L. P. Karakatsanis, A. C. Iliopoulos, E. T. Sarris, Markos Xenakis, Evgenios Pavlos, John Argyris, Ioannis Andreadis, A. Rigas, D. V. Sarafopoulos and Georgios C. Anagnostopoulos and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Physica A Statistical Mechanics and its Applications.

In The Last Decade

G. P. Pavlos

44 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
G. P. Pavlos	376	342	187	178	134	45	659
J. Takalo	61 0.2×	188 0.5×	378 2.0×	191 1.1×	320 2.4×	38	616
M.J.A. Bolzan	75 0.2×	134 0.4×	516 2.8×	301 1.7×	245 1.8×	62	789
Tom Chang	56 0.1×	127 0.4×	501 2.7×	189 1.1×	287 2.1×	39	660
Massimiliano Ignaccolo	162 0.4×	134 0.4×	61 0.3×	17 0.1×	59 0.4×	33	589
Alexander Melnikov	80 0.2×	114 0.3×	321 1.7×	91 0.5×	66 0.5×	107	658
Pierre Kestener	50 0.1×	122 0.4×	172 0.9×	12 0.1×	94 0.7×	24	566
I. Doxas	114 0.3×	34 0.1×	341 1.8×	107 0.6×	199 1.5×	42	625
Pierre-Henri Chavanis	454 1.2×	115 0.3×	318 1.7×	22 0.1×	21 0.2×	20	760
Pablo A. Alemany	444 1.2×	219 0.6×	23 0.1×	21 0.1×	46 0.3×	16	605
B. H. Lavenda	411 1.1×	47 0.1×	63 0.3×	41 0.2×	53 0.4×	102	668

Countries citing papers authored by G. P. Pavlos

Since Specialization

Citations

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

Fields of papers citing papers by G. P. Pavlos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. P. Pavlos. 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 G. P. Pavlos. The network helps show where G. P. Pavlos may publish in the future.

Co-authorship network of co-authors of G. P. Pavlos

This figure shows the co-authorship network connecting the top 25 collaborators of G. P. Pavlos. A scholar is included among the top collaborators of G. P. Pavlos 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 G. P. Pavlos. G. P. Pavlos 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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