Thanasis Vafeiadis

1.4k total citations · 1 hit paper
40 papers, 976 citations indexed

About

Thanasis Vafeiadis is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Thanasis Vafeiadis has authored 40 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 15 papers in Control and Systems Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Thanasis Vafeiadis's work include Fault Detection and Control Systems (13 papers), Industrial Vision Systems and Defect Detection (12 papers) and Anomaly Detection Techniques and Applications (7 papers). Thanasis Vafeiadis is often cited by papers focused on Fault Detection and Control Systems (13 papers), Industrial Vision Systems and Defect Detection (12 papers) and Anomaly Detection Techniques and Applications (7 papers). Thanasis Vafeiadis collaborates with scholars based in Greece, Italy and United Kingdom. Thanasis Vafeiadis's co-authors include Dimosthenis Ioannidis, Dimitrios Tzovaras, K. Ch. Chatzisavvas, Konstantinos Diamantaras, Alexandros Nizamis, Theofilos Mastos, N. G. Alexopoulos, Nikolaos Dimitriou, Tracy Wotherspoon and Stelios Krinidis and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Thanasis Vafeiadis

37 papers receiving 920 citations

Hit Papers

A comparison of machine learning techniques for customer ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thanasis Vafeiadis Greece 13 275 274 159 156 120 40 976
Zhenyong Wu China 16 218 0.8× 170 0.6× 89 0.6× 244 1.6× 74 0.6× 35 1.1k
Zhihua Chen China 16 212 0.8× 195 0.7× 63 0.4× 273 1.8× 54 0.5× 28 900
Shunsheng Guo China 21 90 0.3× 817 3.0× 138 0.9× 152 1.0× 105 0.9× 74 1.5k
Chen Zhou United States 16 83 0.3× 191 0.7× 125 0.8× 157 1.0× 162 1.4× 55 970
Ershi Qi China 15 88 0.3× 135 0.5× 184 1.2× 145 0.9× 74 0.6× 80 802
Chunming Ye China 18 84 0.3× 421 1.5× 144 0.9× 156 1.0× 27 0.2× 94 977
Cliff T. Ragsdale United States 16 51 0.2× 355 1.3× 188 1.2× 113 0.7× 54 0.5× 41 1.2k
Shuzhu Zhang China 15 87 0.3× 436 1.6× 88 0.6× 237 1.5× 52 0.4× 28 905
Hai Jiang China 18 123 0.4× 161 0.6× 56 0.4× 77 0.5× 30 0.3× 65 914
Budi Santosa Indonesia 15 65 0.2× 184 0.7× 260 1.6× 199 1.3× 260 2.2× 183 1.1k

Countries citing papers authored by Thanasis Vafeiadis

Since Specialization
Citations

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

Fields of papers citing papers by Thanasis Vafeiadis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thanasis Vafeiadis

This figure shows the co-authorship network connecting the top 25 collaborators of Thanasis Vafeiadis. A scholar is included among the top collaborators of Thanasis Vafeiadis 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 Thanasis Vafeiadis. Thanasis Vafeiadis 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.
Kotsiopoulos, Thanasis, Thanasis Vafeiadis, Alexandros Nizamis, et al.. (2025). Anomaly Detection in Industrial Processes: Supervised vs. Unsupervised Learning and the Role of Explainability. Open Research Europe. 5. 8–8.
2.
Vafeiadis, Thanasis, et al.. (2025). AI-Assisted Gamification Platform for Smart City Food Waste Management. 12–16.
3.
Vafeiadis, Thanasis, et al.. (2024). Interpretability of deep neural networks: A review of methods, classification and hardware. Neurocomputing. 601. 128204–128204. 11 indexed citations
4.
Kotsiopoulos, Thanasis, Thanasis Vafeiadis, V.K. Dimitriadis, et al.. (2024). Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms. Expert Systems with Applications. 255. 124839–124839. 10 indexed citations
6.
Vafeiadis, Thanasis, et al.. (2023). A Holistic Framework for Production Scheduling in Industry 4.0. Zenodo (CERN European Organization for Nuclear Research). 269–276. 1 indexed citations
7.
Nizamis, Alexandros, et al.. (2022). Production Scheduling Optimization enabled by Digital Cognitive Platform. Procedia Computer Science. 204. 424–431. 4 indexed citations
8.
Vafeiadis, Thanasis, et al.. (2022). Utilizing machine learning on freight transportation and logistics applications: A review. ICT Express. 9(3). 284–295. 65 indexed citations
9.
Zacharaki, Angeliki, et al.. (2021). RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment. Frontiers in Artificial Intelligence. 3. 570562–570562. 35 indexed citations
10.
Vafeiadis, Thanasis, et al.. (2021). Freight transportation route time prediction with ensemble learning techniques. 52–57. 4 indexed citations
11.
Tsolakis, Apostolos C., et al.. (2020). Towards a Holistic Microgrid Performance Framework and a Data-Driven Assessment Analysis. Energies. 13(21). 5780–5780. 2 indexed citations
12.
Nizamis, Alexandros, et al.. (2020). Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0. Frontiers in Artificial Intelligence. 3. 578152–578152. 28 indexed citations
13.
Dimitriou, Nikolaos, et al.. (2019). A Deep Learning framework for simulation and defect prediction applied in microelectronics. Simulation Modelling Practice and Theory. 100. 102063–102063. 33 indexed citations
14.
Vafeiadis, Thanasis, Alexandros Nizamis, Ifigeneia Metaxa, et al.. (2019). Intelligent Information Management System for Decision Support: Application in a Lift Manufacturer's Shop Floor. Zenodo (CERN European Organization for Nuclear Research). 1. 1–6. 7 indexed citations
15.
Vafeiadis, Thanasis, et al.. (2019). Data Analytics Platform for the Optimization of Waste Management Procedures. 333–338. 6 indexed citations
16.
Vafeiadis, Thanasis, et al.. (2019). Anomaly Detection in Aluminium Production with Unsupervised Machine Learning Classifiers. 1–6. 3 indexed citations
17.
Vafeiadis, Thanasis, et al.. (2018). Forecasting faults of industrial equipment using machine learning classifiers. IEEE Conference Proceedings. 2018. 1–6. 1 indexed citations
18.
Vafeiadis, Thanasis, et al.. (2015). A comparison of machine learning techniques for customer churn prediction. Simulation Modelling Practice and Theory. 55. 1–9. 312 indexed citations breakdown →
19.
Vafeiadis, Thanasis, et al.. (2012). Real-time network data analysis using time series models. Simulation Modelling Practice and Theory. 29. 173–180. 10 indexed citations
20.
Vafeiadis, Thanasis, E. Bora-Senta, & Dimitris Kugiumtzis. (2008). Evaluation of Linear Trend Tests Using Resampling Techniques. Communications in Statistics - Simulation and Computation. 37(5). 907–923. 7 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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