Thanasis Vafeiadis

1.4k citations
40 papers · 976 indexed · 1 hit paper · h-index 13

Thanasis Vafeiadis

37 papers receiving 920 citations

Hit Papers

A comparison of machine learning techniques for customer ...3122015202620182022100200300

Peers

Thanasis Vafeiadis
Comparison fields: 5 of 97
  • Marketing 275
  • Industrial and Manufacturing Engineering 274
  • Management Information Systems 97
  • Strategy and Management 156
  • Organizational Behavior and Human Resource Management 101
Replace Zhenyong Wu with:
Zhenyong Wu China
Zhihua Chen China
Chunming Ye China
Zaifang Zhang China
Xiuli Geng China
Ershi Qi China
Shunsheng Guo China
İlker Gölcük Türkiye
Saeed Zolfaghari Canada
Sébastien Thomassey France
Thanasis Vafeiadis relative to Zhenyong Wu China Zhenyong Wu's profile →
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Citations per year

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

The 25 scholars most cited alongside Thanasis Vafeiadis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thanasis Vafeiadis Line = papers co-authored together Thanasis Vafeiadis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202411
4 202414
5 202410
6 20231
7 202265
8 20224
9 202135
10 202028
11 20202
12 201933
13 20197
14 20196
15 20193
16
Forecasting faults of industrial equipment using machine learning classifiers
20181
17 20184
18 20169
19
A comparison of machine learning techniques for customer churn predictionbreakdown →
2015312
20 20087

About Thanasis Vafeiadis

Thanasis Vafeiadis is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Health Informatics, having authored 40 papers that have together received 976 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (13 papers), Industrial Vision Systems and Defect Detection (12 papers), Anomaly Detection Techniques and Applications (7 papers), Advanced Statistical Process Monitoring (6 papers), Digital Transformation in Industry (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Smart Grid Energy Management (3 papers) and Mineral Processing and Grinding (3 papers). The work is most often cited by research in Marketing (275 citations), Industrial and Manufacturing Engineering (274 citations) and Management Information Systems (97 citations). Thanasis Vafeiadis has collaborated with scholars based in Greece, Italy and United Kingdom. Frequent co-authors include Dimosthenis Ioannidis, Dimitrios Tzovaras, Konstantinos Diamantaras, K. Ch. Chatzisavvas, Alexandros Nizamis, Theofilos Mastos, N. G. Alexopoulos, Nikolaos Dimitriou, Tracy Wotherspoon and Stelios Krinidis. Their work appears in journals such as Journal of Cleaner Production, Expert Systems with Applications and Neurocomputing.

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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