G. P. Pavlos

976 total citations
45 papers, 661 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 661 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 United States. 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 627 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G. P. Pavlos Greece	18	376	342	189	178	134	45	661
Wiesław M. Macek Poland	20	286 0.8×	366 1.1×	808 4.3×	67 0.4×	357 2.7×	82	1.1k
J. A. Wanliss United States	15	88 0.2×	224 0.7×	504 2.7×	290 1.6×	427 3.2×	42	824
J. Takalo Finland	14	61 0.2×	188 0.5×	378 2.0×	191 1.1×	320 2.4×	38	616
S. Rahvar Iran	16	219 0.6×	261 0.8×	851 4.5×	16 0.1×	59 0.4×	75	1.2k
Yiannis Contoyiannis Greece	20	167 0.4×	230 0.7×	28 0.1×	593 3.3×	76 0.6×	54	896
G. Kaniadakis Italy	8	572 1.5×	240 0.7×	102 0.5×	48 0.3×	12 0.1×	11	700
F. Pennini Argentina	17	781 2.1×	339 1.0×	25 0.1×	35 0.2×	18 0.1×	93	936
Alexander Melnikov Russia	14	81 0.2×	113 0.3×	326 1.7×	91 0.5×	66 0.5×	107	663
R. T. J. McAteer United States	19	25 0.1×	173 0.5×	914 4.8×	48 0.3×	243 1.8×	30	1.1k
R. T. James McAteer United States	12	42 0.1×	80 0.2×	549 2.9×	44 0.2×	122 0.9×	24	680

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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20 of 20 papers shown

Iliopoulos, A. C., G. P. Pavlos, L. Magafas, et al.. (2015). Tsallis q - triplet and Stock Market Indices : The cases of S & P 500 and TVIX. Journal of Engineering Science and Technology Review. 8(1). 34–40. 3 indexed citations

Pavlos, G. P., A. C. Iliopoulos, L. P. Karakatsanis, Markos Xenakis, & Evgenios Pavlos. (2015). Complexity of Economical Systems. Journal of Engineering Science and Technology Review. 8(1). 41–55. 3 indexed citations

Pavlos, G. P., L. P. Karakatsanis, A. C. Iliopoulos, et al.. (2015). Measuring complexity, nonextensivity and chaos in the DNA sequence of the Major Histocompatibility Complex. Physica A Statistical Mechanics and its Applications. 438. 188–209. 12 indexed citations

Pavlos, G. P.. (2015). Complexity in Theory and Practice: Toward the Unification of Non-equilibrium Physical Processes. 1. 123–145. 2 indexed citations

Karakatsanis, L. P., G. P. Pavlos, A. C. Iliopoulos, et al.. (2011). Evidence for Coexistence of SOC, Intermittent Turbulence and Low-Dimensional Chaos Processes in Solar Flare Dynamics. AIP conference proceedings. 55–64. 4 indexed citations

Pavlos, G. P., A. C. Iliopoulos, L. P. Karakatsanis, et al.. (2011). Complexity in Space Plasmas: Universality of Non-Equilibrium Physical Processes. AIP conference proceedings. 77–81. 6 indexed citations

Anagnostopoulos, Georgios C., et al.. (2011). Enhanced ULF radiation observed by DEMETER two months around the strong 2010 Haiti earthquake. Natural hazards and earth system sciences. 11(4). 1091–1098. 29 indexed citations

Tsoutsouras, Vasileios, et al.. (2010). Dynamic Frequency Scaling for MPSoCs based on Chaotic Workload Analysis. 1–312.

Pavlos, G. P., et al.. (2003). Geometrical characteristics of magnetospheric energetic ion time series: evidence for low dimensional chaos. Annales Geophysicae. 21(9). 1975–1993. 5 indexed citations

10.

Pavlos, G. P., et al.. (1999). Comments and new results about the magnetospheric chaos hypothesis. Nonlinear processes in geophysics. 6(2). 99–127. 24 indexed citations

11.

Pavlos, G. P., et al.. (1999). Nonlinear analysis of magnetospheric data Part I. Geometric characteristics of the AE index time series and comparison with nonlinear surrogate data. Nonlinear processes in geophysics. 6(1). 51–65. 33 indexed citations

12.

Pavlos, G. P., et al.. (1999). Nonlinear analysis of magnetospheric data Part II. Dynamical characteristics of the AE index time series and comparison with nonlinear surrogate data. Nonlinear processes in geophysics. 6(2). 79–98. 19 indexed citations

13.

Argyris, John, et al.. (1998). On the influence of noise on the largest Lyapunov exponent and on the geometric structure of attractors. Chaos Solitons & Fractals. 9(6). 947–958. 19 indexed citations

14.

Argyris, John, et al.. (1998). The influence of noise on the correlation dimension of chaotic attractors. Chaos Solitons & Fractals. 9(3). 343–361. 62 indexed citations

15.

Argyris, John, et al.. (1998). On Chaotic Oscillations of a Laminated Composite Cylinder Subject to Periodic Application of Temperature. Chaos Solitons & Fractals. 9(9). 1529–1554. 7 indexed citations

16.

Pavlos, G. P., et al.. (1992). Evidence for strange attractor structures in space plasmas.. Annales Geophysicae. 10(5). 309–322. 39 indexed citations

17.

Pavlos, G. P., et al.. (1992). A preliminary low-dimensional chaotic analysis of the solar cycle. Annales Geophysicae. 10(10). 759–762. 5 indexed citations

18.

Pavlos, G. P. & E. T. Sarris. (1989). Encounter with a source of energetic particles inside the plasma sheet. Annales Geophysicae. 7. 531–539. 3 indexed citations

19.

Pavlos, G. P., et al.. (1985). Monitoring of energy spectra of particle bursts in the plasma sheet and magnetosheath. Planetary and Space Science. 33(10). 1109–1118. 19 indexed citations

20.

Sarafopoulos, D. V., E. T. Sarris, & G. P. Pavlos. (1984). Estimate of the amplitude of transient electric fields in the magnetotail. 217. 177. 2 indexed citations

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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