Sotiris Kotsiantis

17.8k total citations · 7 hit papers
185 papers, 11.3k citations indexed

About

Sotiris Kotsiantis is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Sotiris Kotsiantis has authored 185 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Artificial Intelligence, 34 papers in Information Systems and 32 papers in Computer Science Applications. Recurrent topics in Sotiris Kotsiantis's work include Machine Learning and Data Classification (58 papers), Imbalanced Data Classification Techniques (57 papers) and Online Learning and Analytics (32 papers). Sotiris Kotsiantis is often cited by papers focused on Machine Learning and Data Classification (58 papers), Imbalanced Data Classification Techniques (57 papers) and Online Learning and Analytics (32 papers). Sotiris Kotsiantis collaborates with scholars based in Greece, Cyprus and United Kingdom. Sotiris Kotsiantis's co-authors include Panagiotis Pintelas, Vasilis Papastefanopoulos, Pantelis Linardatos, Dimitris Kanellopoulos, Ioannis D. Zaharakis, Panayiotis Pintelas, Georgios Kostopoulos, V. Tampakas, Stamatis Karlos and Christos Pierrakeas and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Expert Systems with Applications.

In The Last Decade

Sotiris Kotsiantis

170 papers receiving 10.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Supervised Machine Learning: A Review of Classification Techniques

2007 2.9k citations Sotiris Kotsiantis profile →
Explainable AI: A Review of Machine Learning Interpretability Methods

2020 1.7k citations Pantelis Linardatos, Vasilis Papastefanopoulos et al. Entropy profile →
Decision trees: a recent overview

2011 1.0k citations Sotiris Kotsiantis profile →
Machine learning: a review of classification and combining techniques

2006 1.0k citations Sotiris Kotsiantis et al. profile →
Handling imbalanced datasets: A review

2006 632 citations Sotiris Kotsiantis, Dimitris Kanellopoulos et al. profile →
Data Preprocessing For Supervised Leaning

2007 461 citations Sotiris Kotsiantis, Dimitris Kanellopoulos et al. profile →
AlphaFold3: An Overview of Applications and Performance Insights

2025 24 citations Konstantinos Lazaros, Aristidis G. Vrahatis et al. profile →

Peers

Countries citing papers authored by Sotiris Kotsiantis

Since Specialization

Citations

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

Fields of papers citing papers by Sotiris Kotsiantis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sotiris Kotsiantis

This figure shows the co-authorship network connecting the top 25 collaborators of Sotiris Kotsiantis. A scholar is included among the top collaborators of Sotiris Kotsiantis 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 Sotiris Kotsiantis. Sotiris Kotsiantis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Multiomics analysis of the Silkworm cocoon shell 2025 ·Scientific Data ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Silvia Cappellozza, Νikolaos S. Τhomaidis, Marios Kostakis, Martina Samiotaki, Sotiris Kotsiantis, (unknown), Skarlatos Dedos	0
2	Enhancing sentiment analysis with distributional emotion embeddings 2025 ·Neurocomputing ·(unknown), (unknown), Sotiris Kotsiantis	0
3	Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level 2024 ·Future Internet ·(unknown), Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios	19
4	A conceptual and methodological framework for clustering and correlation analyses of the approaches and study skills inventory for students 2024 ·Higher Education ·Sotiris Kotsiantis, (unknown), Dimitris Kalles, Skarlatos Dedos	0
5	Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles 2024 ·Information Sciences ·(unknown), (unknown), Sotiris Kotsiantis	3
6	Federated Learning: Navigating the Landscape of Collaborative Intelligence 2024 ·Electronics ·Konstantinos Lazaros, (unknown), Aristidis G. Vrahatis, Sotiris Kotsiantis	21
7	kNN Classification: a review 2023 ·Annals of Mathematics and Artificial Intelligence ·(unknown), (unknown), Sotiris Kotsiantis, Michael N. Vrahatis	47
8	Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting 2023 ·Information ·(unknown), Sotiris Kotsiantis	6
9	Investigating Deep Stock Market Forecasting with Sentiment Analysis 2023 ·Entropy ·(unknown), (unknown), Sotiris Kotsiantis	22
10	Financial sentiment analysis: Classic methods vs. deep learning models 2023 ·Intelligent Decision Technologies ·(unknown), (unknown), (unknown), Sotiris Kotsiantis	4
11	CO2 concentration forecasting in smart cities using a hybrid ARIMA–TFT model on multivariate time series IoT data 2023 ·Scientific Reports ·Pantelis Linardatos, Vasilis Papastefanopoulos, Theodor Panagiotakopoulos, Sotiris Kotsiantis	16
12	Predicting Cost of Municipal Waste Management using IoT Data and Machine Learning 2023 ·(unknown), Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas	2
13	Active learning Rotation Forest for multiclass classification 2019 ·Computational Intelligence ·(unknown), Stamatis Karlos, Sotiris Kotsiantis	8
14	Data preprocessing in predictive data mining 2019 ·The Knowledge Engineering Review ·Stamatios-Aggelos N. Alexandropoulos, Sotiris Kotsiantis, Michael N. Vrahatis	123
15	Integrating Global and Local Application of Naive Bayes Classifier 2014 ·The International Arab Journal of Information Technology ·Sotiris Kotsiantis	13
16	Semantic Web: A state of the art survey 2007 ·International Review on Computers and Software (IRECOS) ·(unknown), (unknown), Dimitris Kanellopoulos, Sotiris Kotsiantis	2
17	Supervised Machine Learning: A Review of Classification Techniques breakdown → 2007 ·Sotiris Kotsiantis	2911
18	Ontology-based Learning Applications: A Development Methodology. 2006 ·Dimitris Kanellopoulos, Sotiris Kotsiantis, Panayiotis Pintelas	14
19	Logitboost of Simple Bayesian Classifier 2005 ·Sotiris Kotsiantis, Panayiotis Pintelas	43
20	Text classification: a recent overview 2005 ·Annual Conference on Computers ·(unknown), Sotiris Kotsiantis, V. Tampakas	9

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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