K. Karamanos

511 total citations
28 papers, 349 citations indexed

About

K. Karamanos is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Mathematical Physics. According to data from OpenAlex, K. Karamanos has authored 28 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 8 papers in Molecular Biology and 7 papers in Mathematical Physics. Recurrent topics in K. Karamanos's work include Fractal and DNA sequence analysis (8 papers), Complex Systems and Time Series Analysis (7 papers) and Earthquake Detection and Analysis (6 papers). K. Karamanos is often cited by papers focused on Fractal and DNA sequence analysis (8 papers), Complex Systems and Time Series Analysis (7 papers) and Earthquake Detection and Analysis (6 papers). K. Karamanos collaborates with scholars based in Greece, Belgium and Canada. K. Karamanos's co-authors include K. Eftaxias, G. Nìcolis, P. Kapiris, Stavros D. Nikolopoulos, A. Peratzakis, J. Kopanas, Ilias Kotsireas, Georgios Balasis, Marcel Filoche and G. Antonopoulos and has published in prestigious journals such as Applied Thermal Engineering, Journal of the Franklin Institute and Physica A Statistical Mechanics and its Applications.

In The Last Decade

K. Karamanos

27 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Karamanos Greece 12 154 121 84 64 50 28 349
Pouya Manshour Iran 11 19 0.1× 22 0.2× 156 1.9× 93 1.5× 28 0.6× 20 335
N. Decoster France 6 9 0.1× 38 0.3× 38 0.5× 114 1.8× 43 0.9× 6 339
C. A. Young United States 14 25 0.2× 150 1.2× 25 0.3× 38 0.6× 127 2.5× 36 536
A. Wolf United States 4 8 0.1× 29 0.2× 239 2.8× 126 2.0× 32 0.6× 5 361
Renat M. Yulmetyev Germany 11 31 0.2× 26 0.2× 118 1.4× 95 1.5× 63 1.3× 18 289
C. Chase United States 9 31 0.2× 17 0.1× 49 0.6× 6 0.1× 66 1.3× 17 437
Aleksander Janicki Poland 7 4 0.0× 23 0.2× 84 1.0× 91 1.4× 33 0.7× 13 314
A.M. Kowalski Argentina 12 9 0.1× 80 0.7× 346 4.1× 201 3.1× 66 1.3× 41 492
Ruoxi Xiang Hong Kong 4 8 0.1× 41 0.3× 155 1.8× 203 3.2× 29 0.6× 4 399
G. Broggi Switzerland 10 5 0.0× 38 0.3× 295 3.5× 119 1.9× 21 0.4× 16 407

Countries citing papers authored by K. Karamanos

Since Specialization
Citations

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

Fields of papers citing papers by K. Karamanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Karamanos

This figure shows the co-authorship network connecting the top 25 collaborators of K. Karamanos. A scholar is included among the top collaborators of K. Karamanos 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 K. Karamanos. K. Karamanos 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
1.
Karamanos, K., et al.. (2017). Structure of the correlation function at the accumulation points of the logistic map. Chaos Solitons & Fractals. 96. 154–159. 1 indexed citations
2.
Karamanos, K., et al.. (2017). Two Dimensional Drug Diffusion Between Nanoparticles and Fractal Tumors. Journal of Physics Conference Series. 931. 12034–12034. 1 indexed citations
3.
Karvelas, Evangelos, et al.. (2016). Water Purification in Micromagnetofluidic Devices: Mixing in MHD Micromixers. Procedia Engineering. 162. 593–600. 4 indexed citations
4.
Karamanos, K., et al.. (2015). ENTROPY PRODUCTION OF ENTIRELY DIFFUSIONAL LAPLACIAN TRANSFER AND THE POSSIBLE ROLE OF FRAGMENTATION OF THE BOUNDARIES. Fractals. 23(3). 1550026–1550026. 3 indexed citations
5.
Constantoudis, Vassilios, Maria Kalimeri, F. Κ. Diakonos, et al.. (2015). Long-range correlations and burstiness in written texts: Universal and language-specific aspects. International Journal of Modern Physics B. 30(15). 1541005–1541005. 3 indexed citations
6.
Kalimeri, Maria, Vassilios Constantoudis, Constantinos Papadimitriou, et al.. (2015). Word-length Entropies and Correlations of Natural Language Written Texts. Journal of Quantitative Linguistics. 22(2). 101–118. 16 indexed citations
7.
Karamanos, K., et al.. (2013). SYMBOL-TO-SYMBOL CORRELATION FUNCTION AT THE FEIGENBAUM POINT OF THE LOGISTIC MAP. International Journal of Bifurcation and Chaos. 23(7). 1350118–1350118. 1 indexed citations
8.
Papadimitriou, Constantinos, K. Karamanos, F. Κ. Diakonos, Vassilios Constantoudis, & Haris Papageorgiou. (2010). Entropy analysis of natural language written texts. Physica A Statistical Mechanics and its Applications. 389(16). 3260–3266. 11 indexed citations
9.
Karamanos, K. & Daniel M. Dubois. (2010). Recycling the Independent Field Approximation Argument in the Far Field. AIP conference proceedings. 45–51. 1 indexed citations
10.
Karamanos, K.. (2009). Characterizing Cantorian sets by entropy‐like quantities. Kybernetes. 38(6). 1025–1032. 5 indexed citations
11.
Karamanos, K., et al.. (2006). Preseismic electromagnetic signals in terms of complexity. Physical Review E. 74(1). 16104–16104. 46 indexed citations
12.
Karamanos, K., et al.. (2006). BLOCK ENTROPY ANALYSIS OF HEART RATE VARIABILITY SIGNALS. International Journal of Bifurcation and Chaos. 16(7). 2093–2101. 14 indexed citations
13.
Kapiris, P., J. Polygiannakis, K. Karamanos, et al.. (2005). Distinguished seismological and electromagnetic features of the impending global failure: Did the 7/9/1999 M5.9 Athens earthquake come with a warning?. Earth Planets and Space. 57(3). 215–230. 14 indexed citations
14.
Karamanos, K. & Ilias Kotsireas. (2005). Statistical analysis of the first digits of the binary expansion of Feigenbaum constants α and δ. Journal of the Franklin Institute. 342(3). 329–340. 3 indexed citations
15.
Karamanos, K., A. Peratzakis, P. Kapiris, et al.. (2005). Extracting preseismic electromagnetic signatures in terms of symbolic dynamics. Nonlinear processes in geophysics. 12(6). 835–848. 35 indexed citations
16.
Nikolopoulos, Stavros D., P. Kapiris, K. Karamanos, & K. Eftaxias. (2004). A unified approach of catastrophic events. Natural hazards and earth system sciences. 4(5/6). 615–631. 10 indexed citations
17.
Kotsireas, Ilias & K. Karamanos. (2004). EXACT COMPUTATION OF THE BIFURCATION POINT B4 OF THE LOGISTIC MAP AND THE BAILEY–BROADHURST CONJECTURES. International Journal of Bifurcation and Chaos. 14(7). 2417–2423. 13 indexed citations
18.
Karamanos, K., G. Nìcolis, Thierry Massart, & Philippe Bouillard. (2001). Dissipation in Laplacian fields across irregular boundaries. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(1). 11115–11115. 3 indexed citations
19.
Karamanos, K.. (2001). Entropy analysis of substitutive sequences revisited. Journal of Physics A Mathematical and General. 34(43). 9231–9241. 23 indexed citations
20.
Karamanos, K. & G. Nìcolis. (1999). Symbolic Dynamics and Entropy Analysis of Feigenbaum Limit Sets. Chaos Solitons & Fractals. 10(7). 1135–1150. 34 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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