M. P. Hanias

1.0k total citations
53 papers, 812 citations indexed

About

M. P. Hanias is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, M. P. Hanias has authored 53 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistical and Nonlinear Physics, 23 papers in Economics and Econometrics and 10 papers in Artificial Intelligence. Recurrent topics in M. P. Hanias's work include Complex Systems and Time Series Analysis (22 papers), Chaos control and synchronization (20 papers) and Neural Networks and Applications (10 papers). M. P. Hanias is often cited by papers focused on Complex Systems and Time Series Analysis (22 papers), Chaos control and synchronization (20 papers) and Neural Networks and Applications (10 papers). M. P. Hanias collaborates with scholars based in Greece, Spain and Cyprus. M. P. Hanias's co-authors include A. N. Anagnostopoulos, K. Kambas, J. Spyridelis, John Kalomiros, G.S. Tombras, A. Rigas, Stavros G. Stavrinides, Yiannis Contoyiannis, Stelios M. Potirakis and Eleftherios Thalassinos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and International Journal of Environmental Research and Public Health.

In The Last Decade

M. P. Hanias

51 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. P. Hanias Greece 15 481 406 149 137 98 53 812
В. В. Федоренко Russia 13 216 0.4× 75 0.2× 155 1.0× 94 0.7× 63 0.6× 60 677
Soumia Ziti Morocco 21 825 1.7× 820 2.0× 387 2.6× 31 0.2× 197 2.0× 89 1.3k
Chao Jin China 10 128 0.3× 96 0.2× 68 0.5× 164 1.2× 72 0.7× 32 463
Wei‐Jiang Gong China 13 415 0.9× 87 0.2× 293 2.0× 192 1.4× 828 8.4× 174 1.2k
Dan Xu China 17 279 0.6× 398 1.0× 248 1.7× 17 0.1× 526 5.4× 41 1.0k
I. N. Askerzade Türkiye 17 118 0.2× 299 0.7× 64 0.4× 58 0.4× 174 1.8× 105 860
Ralf Doerner Germany 10 59 0.1× 85 0.2× 34 0.2× 171 1.2× 161 1.6× 16 538
G. L. Bleris Greece 13 266 0.6× 47 0.1× 100 0.7× 49 0.4× 104 1.1× 51 592
P. A. Santoro Brazil 11 74 0.2× 152 0.4× 19 0.1× 54 0.4× 42 0.4× 22 409

Countries citing papers authored by M. P. Hanias

Since Specialization
Citations

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

Fields of papers citing papers by M. P. Hanias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. P. Hanias

This figure shows the co-authorship network connecting the top 25 collaborators of M. P. Hanias. A scholar is included among the top collaborators of M. P. Hanias 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 M. P. Hanias. M. P. Hanias 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.
Hanias, M. P., et al.. (2024). The Effect of Temperature on a Single-Electron Transistor I-V Curve. Symmetry. 16(3). 327–327. 1 indexed citations
2.
Potirakis, Stelios M., et al.. (2023). Spontaneous Symmetry Breaking in Systems Obeying the Dynamics of On–Off Intermittency and Presenting Bimodal Amplitude Distributions. Symmetry. 15(7). 1448–1448. 3 indexed citations
3.
Umeno, Ken, et al.. (2023). The Impact of COVID-19 on Weak-Form Efficiency in Cryptocurrency and Forex Markets. Entropy. 25(12). 1622–1622. 1 indexed citations
5.
Contoyiannis, Yiannis, Stavros G. Stavrinides, M. P. Hanias, et al.. (2022). Application of the method of parallel trajectories on modeling the dynamics of COVID-19 third wave. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(1). 11103–11103. 1 indexed citations
6.
Stavrinides, Stavros G., M. P. Hanias, Mireia Bargalló González, et al.. (2022). On the chaotic nature of random telegraph noise in unipolar RRAM memristor devices. Chaos Solitons & Fractals. 160. 112224–112224. 6 indexed citations
7.
Contoyiannis, Yiannis, et al.. (2021). Spontaneous symmetry breaking in the phase space. Physica Scripta. 96(7). 75204–75204. 3 indexed citations
8.
Contoyiannis, Yiannis, Stavros G. Stavrinides, M. P. Hanias, et al.. (2021). Criticality in epidemic spread: An application in the case of COVID19 infected population. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(4). 43109–43109. 6 indexed citations
9.
Contoyiannis, Yiannis, et al.. (2021). Tachyons and Solitons in Spontaneous Symmetry Breaking in the Frame of Field Theory. Symmetry. 13(8). 1358–1358. 5 indexed citations
10.
Contoyiannis, Yiannis, et al.. (2020). A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe. International Journal of Environmental Research and Public Health. 17(18). 6525–6525. 10 indexed citations
11.
Potirakis, Stelios M., Yiannis Contoyiannis, F. Κ. Diakonos, & M. P. Hanias. (2017). Intermittency-induced criticality in a resistor-inductor-diode circuit. Physical review. E. 95(4). 42206–42206. 14 indexed citations
12.
Hanias, M. P., et al.. (2011). Estimation of Outage Capacity for Free Space Optical Links Over I-K and K Turbulent Channels. SHILAP Revista de lepidopterología. 30 indexed citations
13.
Hanias, M. P., et al.. (2011). Balanced Scorecard as a strange attractor tool contributing to the improvement of transformation process and ultimately to the competitive advantage of an Organization. Journal of Engineering Science and Technology Review. 4(3). 271–276. 2 indexed citations
14.
Hanias, M. P., et al.. (2011). Predicting the CDS return index. Journal of Engineering Science and Technology Review. 4(3). 297–300. 1 indexed citations
15.
Nistazakis, Hector E., et al.. (2010). Estimation of capacity bounds of free space optical channels under strong turbulence conditions. International Conference on Microwaves, Radar & Wireless Communications. 1–3. 4 indexed citations
16.
Hanias, M. P. & L. Magafas. (2009). Application of Physics Model in prediction of the Hellas Euro election results. Journal of Engineering Science and Technology Review. 2(1). 104–111. 2 indexed citations
17.
Hanias, M. P. & L. Magafas. (2009). Time series cross prediction in a single transistor chaotic circuit using neural networks. Journal of Engineering Science and Technology Review. 2(1). 8–11. 1 indexed citations
18.
Hanias, M. P.. (2008). Chaotic behaviour of an electrical analogue to the mechanical double pendulum. Journal of Engineering Science and Technology Review. 1(1). 33–37. 3 indexed citations
19.
Hanias, M. P. & D.A. Karras. (2008). On efficient multistep non-linear time series prediction in chaotic diode resonator circuits by optimizing the combination of non-linear time series analysis and neural networks. Engineering Applications of Artificial Intelligence. 22(1). 32–39. 8 indexed citations
20.
Hanias, M. P., et al.. (2007). Period doubling, Feigenbaum constant and time series prediction in an experimental chaotic RLD circuit. Chaos Solitons & Fractals. 40(3). 1050–1059. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026