| Blockchain in agriculture traceability systems: A review K Demestichas, N Peppes, T Alexakis, E Adamopoulou Applied Sciences 10 (12), 4113, 2020 | 348 | 2020 |
| Information and communication technology solutions for the circular economy K Demestichas, E Daskalakis Sustainability 12 (18), 7272, 2020 | 174 | 2020 |
| Survey on security threats in agricultural IoT and smart farming K Demestichas, N Peppes, T Alexakis Sensors 20 (22), 6458, 2020 | 156 | 2020 |
| User Profile Modeling in the context of web-based learning management systems Y Kritikou, P Demestichas, E Adamopoulou, K Demestichas, M Theologou, ... Journal of Network and Computer Applications 31 (4), 603-627, 2008 | 114 | 2008 |
| Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study M Choraś, K Demestichas, A Giełczyk, Á Herrero, P Ksieniewicz, ... Applied Soft Computing 101, 107050, 2021 | 99 | 2021 |
| Intelligent access network selection in heterogeneous networks-simulation results E Adamopoulou, K Demestichas, A Koutsorodi, M Theologou 12th European Wireless Conference 2006-Enabling Technologies for Wireless …, 2006 | 69 | 2006 |
| Internet of things technologies and machine learning methods for Parkinson’s disease diagnosis, monitoring and management: a systematic review KM Giannakopoulou, I Roussaki, K Demestichas Sensors 22 (5), 1799, 2022 | 56 | 2022 |
| Performance of machine learning-based multi-model voting ensemble methods for network threat detection in agriculture 4.0 N Peppes, E Daskalakis, T Alexakis, E Adamopoulou, K Demestichas Sensors 21 (22), 7475, 2021 | 51 | 2021 |
| Enhancing channel estimation in cognitive radio systems by means of Bayesian networks P Demestichas, A Katidiotis, KA Tsagkaris, EF Adamopoulou, ... Wireless personal communications 49, 87-105, 2009 | 49 | 2009 |
| Enhanced estimation of configuration capabilities in cognitive radio E Adamopoulou, K Demestichas, M Theologou IEEE Communications Magazine 46 (4), 56-63, 2008 | 41 | 2008 |
| Driving behaviour analysis using machine and deep learning methods for continuous streams of vehicular data N Peppes, T Alexakis, E Adamopoulou, K Demestichas Sensors 21 (14), 4704, 2021 | 35 | 2021 |
| Machine‐learning methodology for energy efficient routing M Masikos, K Demestichas, E Adamopoulou, M Theologou IET Intelligent Transport Systems 8 (3), 255-265, 2014 | 35 | 2014 |
| Terminal management and intelligent access selection in heterogeneous environments AA Koutsorodi, EF Adamopoulou, KP Demestichas, ME Theologou Mobile Networks and Applications 11, 861-871, 2006 | 33 | 2006 |
| Energy-efficient routing based on vehicular consumption predictions of a mesoscopic learning model M Masikos, K Demestichas, E Adamopoulou, M Theologou Applied Soft Computing 28, 114-124, 2015 | 29 | 2015 |
| Dynamic backhaul resource allocation: An evolutionary game theoretic approach IV Loumiotis, EF Adamopoulou, KP Demestichas, TA Stamatiadi, ... IEEE Transactions on Communications 62 (2), 691-698, 2014 | 28 | 2014 |
| Mesoscopic forecasting of vehicular consumption using neural networks M Masikos, K Demestichas, E Adamopoulou, M Theologou Soft Computing 19, 145-156, 2015 | 26 | 2015 |
| Data lifecycle management in precision agriculture supported by information and communication technology K Demestichas, E Daskalakis Agronomy 10 (11), 1648, 2020 | 25 | 2020 |
| Food for thought: fighting fake news and online disinformation K Demestichas, K Remoundou, E Adamopoulou IT Professional 22 (2), 28-34, 2020 | 22 | 2020 |
| Socialtruth project approach to online disinformation (fake news) detection and mitigation M Choraś, M Pawlicki, R Kozik, K Demestichas, P Kosmides, M Gupta Proceedings of the 14th International Conference on Availability …, 2019 | 22 | 2019 |
| Modelling user preferences and configuring services in B3G devices KP Demestichas, AA Koutsorodi, EF Adamopoulou, ME Theologou Wireless Networks 14, 699-713, 2008 | 18 | 2008 |
