Vasilis Papastefanopoulos

2.9k total citations · 1 hit paper
6 papers, 1.8k citations indexed

About

Vasilis Papastefanopoulos is a scholar working on Artificial Intelligence, Signal Processing and Environmental Engineering. According to data from OpenAlex, Vasilis Papastefanopoulos has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Signal Processing and 2 papers in Environmental Engineering. Recurrent topics in Vasilis Papastefanopoulos's work include Anomaly Detection Techniques and Applications (3 papers), Imbalanced Data Classification Techniques (2 papers) and Air Quality Monitoring and Forecasting (2 papers). Vasilis Papastefanopoulos is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Imbalanced Data Classification Techniques (2 papers) and Air Quality Monitoring and Forecasting (2 papers). Vasilis Papastefanopoulos collaborates with scholars based in Greece and Cyprus. Vasilis Papastefanopoulos's co-authors include Pantelis Linardatos, Sotiris Kotsiantis and Theodor Panagiotakopoulos and has published in prestigious journals such as Scientific Reports, Applied Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Vasilis Papastefanopoulos

6 papers receiving 1.8k citations

Hit 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.

Explainable AI: A Review of Machine Learning Interpretability Methods

2020 1.7k citations Pantelis Linardatos, Vasilis Papastefanopoulos et al. Entropy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vasilis Papastefanopoulos Greece	5	792	203	196	106	97	6	1.8k
Pantelis Linardatos Greece	5	792 1.0×	203 1.0×	196 1.0×	106 1.0×	97 1.0×	6	1.8k
Dana Rezazadegan Australia	12	795 1.0×	164 0.8×	207 1.1×	65 0.6×	53 0.5×	24	2.2k
David Gunning United States	8	1.3k 1.6×	289 1.4×	140 0.7×	79 0.7×	121 1.2×	13	2.3k
Sanjay Purushotham United States	16	1.3k 1.6×	121 0.6×	216 1.1×	94 0.9×	135 1.4×	50	2.4k
Chandan Singh India	11	661 0.8×	113 0.6×	92 0.5×	126 1.2×	51 0.5×	45	1.6k
Yin Lou United States	12	1.1k 1.4×	198 1.0×	93 0.5×	65 0.6×	95 1.0×	19	2.2k
Alfredo Vellido Spain	23	936 1.2×	158 0.8×	337 1.7×	233 2.2×	190 2.0×	136	2.3k
Reza Abbasi-Asl United States	7	577 0.7×	95 0.5×	87 0.4×	146 1.4×	47 0.5×	22	1.5k
Xiaohui Tao Australia	27	1.4k 1.7×	128 0.6×	193 1.0×	194 1.8×	104 1.1×	205	2.8k
Karl Kumbier United States	6	1.9k 2.3×	152 0.7×	172 0.9×	218 2.1×	109 1.1×	13	3.1k

Countries citing papers authored by Vasilis Papastefanopoulos

Since Specialization

Citations

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

Fields of papers citing papers by Vasilis Papastefanopoulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasilis Papastefanopoulos

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

All Works

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6 of 6 papers shown

1.

Papastefanopoulos, Vasilis, Pantelis Linardatos, & Sotiris Kotsiantis. (2024). Combining normalizing flows with decision trees for interpretable unsupervised outlier detection. Engineering Applications of Artificial Intelligence. 141. 109770–109770. 3 indexed citations

2.

Linardatos, Pantelis, Vasilis Papastefanopoulos, Theodor Panagiotakopoulos, & Sotiris Kotsiantis. (2023). CO2 concentration forecasting in smart cities using a hybrid ARIMA–TFT model on multivariate time series IoT data. Scientific Reports. 13(1). 17266–17266. 16 indexed citations

3.

Papastefanopoulos, Vasilis, Pantelis Linardatos, Theodor Panagiotakopoulos, & Sotiris Kotsiantis. (2023). Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities. Smart Cities. 6(5). 2519–2552. 18 indexed citations

4.

Papastefanopoulos, Vasilis, Pantelis Linardatos, & Sotiris Kotsiantis. (2021). Unsupervised Outlier Detection: A Meta-Learning Algorithm Based on Feature Selection. Electronics. 10(18). 2236–2236. 5 indexed citations

5.

Linardatos, Pantelis, Vasilis Papastefanopoulos, & Sotiris Kotsiantis. (2020). Explainable AI: A Review of Machine Learning Interpretability Methods. Entropy. 23(1). 18–18. 1662 indexed citations breakdown →

6.

Papastefanopoulos, Vasilis, Pantelis Linardatos, & Sotiris Kotsiantis. (2020). COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population. Applied Sciences. 10(11). 3880–3880. 113 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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