Eastern Macedonia and Thrace Institute of Technology, Greece
Department of Electrical Engineering 

Scopus profile: link
Researcher ID: link
Google Scholar profile: link
ID ORCID: http://orcid.org/0000-0002-8253-9653

Selected Publications:

1. Gkika, D. A., Vordos, N., Magafas, L., Mitropoulos, A. C., Kyzas, G. Z. (2021). Risk return profile of nanomaterials. Journal of Molecular Structure, 1228, 129740. doi: http://doi.org/10.1016/j.molstruc.2020.129740 
   
   
2. Antoniades, I. P., Brandi, G., Magafas, L., Di Matteo, T. (2021). The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool. Physica A: Statistical Mechanics and Its Applications, 565, 125561. doi: http://doi.org/10.1016/j.physa.2020.125561 
   
   
3. Demertzis, K., Tsiotas, D., Magafas, L. (2020). Modeling and Forecasting the COVID-19 Temporal Spread in Greece: An Exploratory Approach Based on Complex Network Defined Splines. International Journal of Environmental Research and Public Health, 17(13), 4693. doi: http://doi.org/10.3390/ijerph17134693 
   
   
4. Gkika, D. A., Magafas, L., Cool, P., Braet, J. (2018). Balancing nanotoxicity and returns in health applications: The Prisoner’s Dilemma. Toxicology, 393, 83–89. doi: http://doi.org/10.1016/j.tox.2017.11.008 
   
   
5. Papadopoulou, P., Stavrinides, S. G., Hanias, M., Magafas, L. (2015). Study of the Electrical Behavior of Metal/α-SiC:H/poly-Si(N) Structure Using Simulation. Acta Physica Polonica A, 127 (4), 1349–1351. doi: http://doi.org/10.12693/aphyspola.127.1349 
   
   
6. Iakovoglou, V., Zaimes, G. N., Emmanouloudis, D., Ioannou, A., Bandekas, D., Magafas, L. et. al. (2014). Innovative use of sensors to collect, analyze and forecast abiotic factors in order to improve productivity. Acta Horticulturae, 1054, 341–350. doi: http://doi.org/10.17660/actahortic.2014.1054.41 
   
   
7. Hanias, M. P., Magafas, L. (2011). Chaos theory in predicting election results. Journal of Engineering Science and Technology Review, 4 (3), 286–290. doi: http://doi.org/10.25103/jestr.043.17 
   
   
8. Magafas, L., Ozun, A., Turk, M. (2011). Regime Transitions in Emerging Markets under the Weak Dollar Period: An Empirical Analysis with Two - State Time - Varying Regime Switching Model. Journal of Engineering Science and Technology Review, 4 (3), 251–255. doi: http://doi.org/10.25103/jestr.043.10 
9. Kalomiros, J. A., Stavrinides, S. G., Miliou, A. N., Antoniades, I. P., Magafas, L., Anagnostopoulos, A. N. (2009). The nonlinear current behaviour of a driven R–L-Varactor in the low frequency range. Nonlinear Analysis: Real World Applications, 10 (2), 691–701. doi: http://doi.org/10.1016/j.nonrwa.2007.10.023 
   
   
10. Hanias, M. P., Magafas, L. (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. doi: http://doi.org/10.25103/jestr.021.02