G. P. Pavlos

44 papers receiving 627 citations

Peers

G. P. Pavlos
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 376
  • Economics and Econometrics 342
  • Astronomy and Astrophysics 189
  • Geophysics 178
  • Molecular Biology 134
Replace Wiesław M. Macek with:
Wiesław M. Macek Poland
J. A. Wanliss United States
Yiannis Contoyiannis Greece
G. Kaniadakis Italy
Alexander Melnikov Russia
J. Takalo Finland
S. Rahvar Iran
F. Pennini Argentina
R. T. James McAteer United States
R. T. J. McAteer United States
G. P. Pavlos relative to Wiesław M. Macek Poland Wiesław M. Macek's profile →
Citations per field
00.5×2.7×
Wiesław M. Macek · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3
Complexity in Theory and Practice: Toward the Unification of Non-equilibrium Physical Processes
2
4 32
5 6
6 4
7
Dynamic Frequency Scaling for MPSoCs based on Chaotic Workload Analysis
0
8 5
9 33
10 24
11 19
12 19
13 62
14 7
15 15
16
A preliminary low-dimensional chaotic analysis of the solar cycle
5
17
Evidence for strange attractor structures in space plasmas.
39
18
Encounter with a source of energetic particles inside the plasma sheet
3
19 19
20
Estimate of the amplitude of transient electric fields in the magnetotail
2

About G. P. Pavlos

G. P. Pavlos is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Geophysics, having authored 45 papers that have together received 661 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (30 papers), Statistical Mechanics and Entropy (20 papers) and Chaos control and synchronization (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (376 citations), Geophysics (178 citations) and Economics and Econometrics (342 citations). G. P. Pavlos has collaborated with scholars based in Greece, Germany and United States. Frequent co-authors include L. P. Karakatsanis, A. C. Iliopoulos, E. T. Sarris, Markos Xenakis, Evgenios Pavlos, Ioannis Andreadis, John Argyris, A. Rigas, D. V. Sarafopoulos and Georgios C. Anagnostopoulos. Their work appears in 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.

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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