Eirini Ntoutsi

2.2k total citations
52 papers, 465 citations indexed

About

Eirini Ntoutsi is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Eirini Ntoutsi has authored 52 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 14 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in Eirini Ntoutsi's work include Data Stream Mining Techniques (18 papers), Anomaly Detection Techniques and Applications (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Eirini Ntoutsi is often cited by papers focused on Data Stream Mining Techniques (18 papers), Anomaly Detection Techniques and Applications (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Eirini Ntoutsi collaborates with scholars based in Germany, Greece and Denmark. Eirini Ntoutsi's co-authors include Vasileios Iosifidis, Arjun Roy, Wenbin Zhang, Myra Spiliopoulou, Symeon Papadopoulos, Yannis Theodoridis, Ioannis Kompatsiaris, Nikos Pelekis, Kostas Stefanidis and Hans‐Peter Kriegel and has published in prestigious journals such as Information Sciences, Neurocomputing and Ocean Engineering.

In The Last Decade

Eirini Ntoutsi

48 papers receiving 453 citations

Peers

Eirini Ntoutsi
Seema Nagar India
Samuel Yeom United States
Ilia Shumailov United Kingdom
Varun Chandrasekaran United States
Michael Wolverton United States
Yasushi Kiyoki Japan
Magnus Westerlund Finland
Jean‐Gabriel Ganascia France
Josua Krause United States
Yushun Dong United States
Seema Nagar India
Eirini Ntoutsi
Citations per year, relative to Eirini Ntoutsi Eirini Ntoutsi (= 1×) peers Seema Nagar

Countries citing papers authored by Eirini Ntoutsi

Since Specialization
Citations

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

Fields of papers citing papers by Eirini Ntoutsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eirini Ntoutsi

This figure shows the co-authorship network connecting the top 25 collaborators of Eirini Ntoutsi. A scholar is included among the top collaborators of Eirini Ntoutsi 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 Eirini Ntoutsi. Eirini Ntoutsi 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
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Roy, Arjun, et al.. (2023). Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview. 89–100. 9 indexed citations
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Ntoutsi, Eirini, et al.. (2023). A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning. 43–94. 9 indexed citations
5.
Papadopoulos, Symeon, et al.. (2022). A survey on bias in visual datasets. Computer Vision and Image Understanding. 223. 103552–103552. 58 indexed citations
6.
Iosifidis, Vasileios, Arjun Roy, & Eirini Ntoutsi. (2022). Parity-based cumulative fairness-aware boosting. Knowledge and Information Systems. 64(10). 2737–2770. 4 indexed citations
7.
Zimek, Arthur, et al.. (2021). XPROAX-Local explanations for text classification with progressive neighborhood approximation. arXiv (Cornell University). 1 indexed citations
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Roy, Arjun, et al.. (2021). A survey on datasets for fairness-aware machine learning. arXiv (Cornell University). 115 indexed citations
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Zhang, Wenbin, Yi Yu, Kea Turner, et al.. (2021). Interpretable Visual Understanding with Cognitive Attention Network. Lecture notes in computer science. 12891. 555–568. 2 indexed citations
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Beyer, Christian, et al.. (2020). Active feature acquisition on data streams under feature drift. Annals of Telecommunications. 75(9-10). 597–611. 2 indexed citations
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Beyer, Christian, Paweł J. Matuszyk, Uli Niemann, et al.. (2019). Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics. 9(1). 1–15. 13 indexed citations
12.
Beyer, Christian, et al.. (2019). Active feature acquisition for opinion stream classification under drift. Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover). 2444. 108–111.
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Ntoutsi, Eirini, et al.. (2018). An evaluation of data stream clustering algorithms. Statistical Analysis and Data Mining The ASA Data Science Journal. 11(4). 167–187. 53 indexed citations
15.
Beyer, Christian, Paweł J. Matuszyk, Uli Niemann, et al.. (2018). Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. HRB National Drugs Library (Health Research Board). 246–255. 2 indexed citations
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Ntoutsi, Eirini & Kostas Stefanidis. (2016). Recommendations beyond the ratings matrix. 1–5. 3 indexed citations
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Ntoutsi, Eirini, et al.. (2016). Applying data mining methods for the analysis of stable isotope data in bioarchaeology. 233–242. 2 indexed citations
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Ntoutsi, Eirini, Myra Spiliopoulou, & Yannis Theodoridis. (2012). FINGERPRINT. International Journal of Data Warehousing and Mining. 8(3). 27–44. 7 indexed citations
20.
Ntoutsi, Eirini, et al.. (2012). Monitoring User Evolution in Twitter. 972–977. 9 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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