Stamatis Karlos

793 total citations
32 papers, 461 citations indexed

About

Stamatis Karlos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Stamatis Karlos has authored 32 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Stamatis Karlos's work include Machine Learning and Data Classification (18 papers), Imbalanced Data Classification Techniques (11 papers) and Machine Learning and Algorithms (10 papers). Stamatis Karlos is often cited by papers focused on Machine Learning and Data Classification (18 papers), Imbalanced Data Classification Techniques (11 papers) and Machine Learning and Algorithms (10 papers). Stamatis Karlos collaborates with scholars based in Greece and United Kingdom. Stamatis Karlos's co-authors include Sotiris Kotsiantis, Georgios Kostopoulos, Nikos Fazakis, O. Ragos, Kyriakos Sgarbas, Grigorios Tsoumakas, Vasileios G. Kanas, Christos K. Aridas, Ioannis Vlahavas and Michalis Xenos and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and Applied Sciences.

In The Last Decade

Stamatis Karlos

31 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stamatis Karlos Greece 10 265 64 49 46 32 32 461
Liangjun Yu China 8 278 1.0× 27 0.4× 102 2.1× 53 1.2× 12 0.4× 10 390
Ka-Ho Chow United States 12 502 1.9× 50 0.8× 64 1.3× 115 2.5× 41 1.3× 39 699
Heder S. Bernardino Brazil 14 388 1.5× 28 0.4× 67 1.4× 17 0.4× 11 0.3× 96 731
Nayer Wanas Egypt 12 228 0.9× 24 0.4× 147 3.0× 63 1.4× 33 1.0× 34 447
Tomáš Horváth Slovakia 14 271 1.0× 120 1.9× 173 3.5× 75 1.6× 24 0.8× 40 538
Daniel Castro Silva Portugal 10 117 0.4× 18 0.3× 55 1.1× 45 1.0× 19 0.6× 44 348
Neeraj Bhargava India 7 132 0.5× 27 0.4× 80 1.6× 59 1.3× 49 1.5× 24 365
Deepali Vora India 12 183 0.7× 17 0.3× 74 1.5× 98 2.1× 21 0.7× 56 464
Hancheng Ge United States 11 114 0.4× 23 0.4× 92 1.9× 55 1.2× 35 1.1× 20 403
Kathrin Seßler Germany 4 234 0.9× 17 0.3× 39 0.8× 46 1.0× 25 0.8× 4 489

Countries citing papers authored by Stamatis Karlos

Since Specialization
Citations

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

Fields of papers citing papers by Stamatis Karlos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stamatis Karlos

This figure shows the co-authorship network connecting the top 25 collaborators of Stamatis Karlos. A scholar is included among the top collaborators of Stamatis Karlos 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 Stamatis Karlos. Stamatis Karlos 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.
Karlos, Stamatis, et al.. (2023). WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artificial Intelligence in Medicine. 137. 102505–102505. 2 indexed citations
2.
Karlos, Stamatis, et al.. (2022). ETHOS: a multi-label hate speech detection dataset. Complex & Intelligent Systems. 8(6). 4663–4678. 58 indexed citations
3.
Karlos, Stamatis, et al.. (2022). Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. 1–10. 1 indexed citations
4.
Karlos, Stamatis, et al.. (2021). Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognition Letters. 151. 62–68. 1 indexed citations
5.
Karlos, Stamatis, Georgios Kostopoulos, & Sotiris Kotsiantis. (2020). A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems. Algorithms. 13(1). 26–26. 47 indexed citations
6.
Karlos, Stamatis, et al.. (2020). Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. 175–184. 5 indexed citations
7.
Karlos, Stamatis, Georgios Kostopoulos, & Sotiris Kotsiantis. (2020). Predicting and Interpreting Students’ Grades in Distance Higher Education through a Semi-Regression Method. Applied Sciences. 10(23). 8413–8413. 31 indexed citations
8.
Fazakis, Nikos, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, & Kyriakos Sgarbas. (2020). An active learning ensemble method for regression tasks. Intelligent Data Analysis. 24(3). 607–623. 2 indexed citations
9.
Karlos, Stamatis, et al.. (2019). Active learning Rotation Forest for multiclass classification. Computational Intelligence. 35(4). 891–918. 8 indexed citations
10.
Karlos, Stamatis, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, & Sotiris Kotsiantis. (2019). Combining Active Learning with Self-train algorithm for classification of multimodal problems. 1–8. 8 indexed citations
11.
Kostopoulos, Georgios, Stamatis Karlos, & Sotiris Kotsiantis. (2019). Multiview Learning for Early Prognosis of Academic Performance: A Case Study. IEEE Transactions on Learning Technologies. 12(2). 212–224. 27 indexed citations
12.
Karlos, Stamatis, et al.. (2018). Active fuzzy rule induction. 17. 1–8. 1 indexed citations
13.
Karlos, Stamatis, et al.. (2018). An incrementally updateable ensemble learner. 243–248. 1 indexed citations
14.
Fazakis, Nikos, Stamatis Karlos, Sotiris Kotsiantis, & Kyriakos Sgarbas. (2018). A Semi-supervised regressor based on model trees. 1–7. 2 indexed citations
15.
Karlos, Stamatis, Sotiris Kotsiantis, Nikos Fazakis, & Kyriakos Sgarbas. (2016). Effectiveness of semi-supervised learning in bankruptcy prediction. 1–6. 4 indexed citations
16.
Karlos, Stamatis, Nikos Fazakis, Sotiris Kotsiantis, & Kyriakos Sgarbas. (2016). Self-Trained Stacking Model for Semi-Supervised Learning. International Journal of Artificial Intelligence Tools. 26(2). 1750001–1750001. 8 indexed citations
17.
Karlos, Stamatis, Nikos Fazakis, Sotiris Kotsiantis, & Kyriakos Sgarbas. (2016). Semi-supervised forecasting of fraudulent financial statements. 1–6. 5 indexed citations
18.
Fazakis, Nikos, Stamatis Karlos, Sotiris Kotsiantis, & Kyriakos Sgarbas. (2016). Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification. 2. 1–6. 1 indexed citations
19.
Karlos, Stamatis, et al.. (2016). Automated hand gesture recognition for educational applications. 1–6. 2 indexed citations
20.
Fazakis, Nikos, Stamatis Karlos, Sotiris Kotsiantis, & Kyriakos Sgarbas. (2015). Self-Trained LMT for Semisupervised Learning. Computational Intelligence and Neuroscience. 2016. 1–13. 20 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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