Γεώργιος Παλιούρας

5.9k total citations
133 papers, 2.5k citations indexed

About

Γεώργιος Παλιούρας is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Γεώργιος Παλιούρας has authored 133 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 36 papers in Information Systems and 27 papers in Molecular Biology. Recurrent topics in Γεώργιος Παλιούρας's work include Topic Modeling (31 papers), Semantic Web and Ontologies (28 papers) and Biomedical Text Mining and Ontologies (19 papers). Γεώργιος Παλιούρας is often cited by papers focused on Topic Modeling (31 papers), Semantic Web and Ontologies (28 papers) and Biomedical Text Mining and Ontologies (19 papers). Γεώργιος Παλιούρας collaborates with scholars based in Greece, Slovakia and United Kingdom. Γεώργιος Παλιούρας's co-authors include Ion Androutsopoulos, Constantine D. Spyropoulos, Vangelis Karkaletsis, Alexander Artikis, Vangelis Metsis, Panagiotis Stamatopoulos, Christos Papatheodorou, Anastasia Krithara, Dimitrios Pierrakos and Anastasios Nentidis and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Γεώργιος Παλιούρας

124 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Γεώργιος Παλιούρας Greece 25 1.6k 1.1k 595 322 296 133 2.5k
Marko Grobelnik Slovenia 26 1.6k 0.9× 861 0.8× 252 0.4× 333 1.0× 142 0.5× 126 2.4k
Dayne Freitag United States 22 2.9k 1.8× 1.8k 1.7× 508 0.9× 282 0.9× 367 1.2× 38 3.8k
Benjamin I. P. Rubinstein Australia 22 1.7k 1.1× 465 0.4× 762 1.3× 223 0.7× 628 2.1× 89 2.8k
Eric Prud’hommeaux United States 14 1.5k 0.9× 876 0.8× 834 1.4× 495 1.5× 213 0.7× 37 2.4k
Hendrik Blockeel Belgium 22 1.7k 1.0× 1.2k 1.1× 334 0.6× 441 1.4× 364 1.2× 172 2.9k
Markus Krötzsch Germany 20 2.8k 1.7× 1.0k 1.0× 474 0.8× 562 1.7× 191 0.6× 83 3.5k
Joshua Goodman United States 22 2.9k 1.8× 722 0.7× 251 0.4× 144 0.4× 344 1.2× 45 3.7k
Dan Brickley United Kingdom 15 1.2k 0.7× 955 0.9× 515 0.9× 210 0.7× 153 0.5× 28 1.9k
Jeremy J. Carroll United Kingdom 11 1.6k 1.0× 1.1k 1.0× 855 1.4× 254 0.8× 225 0.8× 29 2.2k
Aditya Kalyanpur United States 20 2.8k 1.7× 1.4k 1.3× 556 0.9× 683 2.1× 160 0.5× 43 3.5k

Countries citing papers authored by Γεώργιος Παλιούρας

Since Specialization
Citations

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

Fields of papers citing papers by Γεώργιος Παλιούρας

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Γεώργιος Παλιούρας

This figure shows the co-authorship network connecting the top 25 collaborators of Γεώργιος Παλιούρας. A scholar is included among the top collaborators of Γεώργιος Παλιούρας 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 Γεώργιος Παλιούρας. Γεώργιος Παλιούρας 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.
Wilkinson, Mark D., Adrian Tassoni, António Atalaia, et al.. (2025). The FAIR journey of a patient-driven registry: Reflections and practical solutions from the Duchenne Data Platform FAIRification experience. Journal of Neuromuscular Diseases. 708690105–708690105.
2.
Zavitsanos, Elias, et al.. (2025). Machine Learning for Identifying Risk in Financial Statements: A Survey. ACM Computing Surveys. 57(9). 1–37. 3 indexed citations
3.
Alevizos, Elias, et al.. (2024). Complex Event Recognition with Symbolic Register Transducers. Proceedings of the VLDB Endowment. 17(11). 3165–3177.
4.
Zavitsanos, Elias, et al.. (2024). Bankruptcy Prediction: Data Augmentation, LLMs and the Need for Auditor's Opinion. 453–460. 4 indexed citations
5.
Artikis, Alexander, et al.. (2023). Online event recognition over noisy data streams. International Journal of Approximate Reasoning. 161. 108993–108993. 3 indexed citations
6.
Παλιούρας, Γεώργιος, et al.. (2023). Improving Graph Neural Networks by combining active learning with self-training. Data Mining and Knowledge Discovery. 38(1). 110–127. 3 indexed citations
7.
Nentidis, Anastasios, et al.. (2023). Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature. Journal of Biomedical Informatics. 146. 104499–104499. 2 indexed citations
8.
Aisopos, Fotis, et al.. (2022). Improving Early Prognosis of Dementia Using Machine Learning Methods. 3(3). 1–16. 5 indexed citations
9.
Παλιούρας, Γεώργιος, et al.. (2021). Online Learning Probabilistic Event Calculus Theories in Answer Set Programming. Theory and Practice of Logic Programming. 23(2). 362–386. 8 indexed citations
10.
Nentidis, Anastasios, et al.. (2021). Overview of BioASQ Tasks 9a, 9b and Synergy in CLEF2021.. CLEF (Working Notes). 157–164. 3 indexed citations
11.
Rodriguez-Penagos, Carlos Gerardo, Anastasios Nentidis, Aitor González-Agirre, et al.. (2020). Overview of MESINESP, a Spanish Medical Semantic Indexing Task within BioASQ 2020.. CLEF (Working Notes). 1 indexed citations
12.
Zavitsanos, Elias, Γεώργιος Παλιούρας, & George A. Vouros. (2011). Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes. Journal of Machine Learning Research. 12(83). 2749–2775. 22 indexed citations
13.
Παλιούρας, Γεώργιος, Constantine D. Spyropoulos, & George Tsatsaronis. (2011). Knowledge-driven multimedia information extraction and ontology evolution: bridging the semantic gap. DIAL (Catholic University of Leuven). 13 indexed citations
14.
McCoy, Kathleen, et al.. (2007). User modeling 2007 : 11th International Conference, UM 2007 Corfu, Greece, June 25-29, 2007 : proceedings. Springer eBooks. 6 indexed citations
15.
Παλιούρας, Γεώργιος, et al.. (2006). PNS: Personalized multi-source news delivery. DSpace - NTUA (National Technical University of Athens). 1 indexed citations
16.
Chatzinotas, Symeon, et al.. (2005). Interactive 2D - 3D Digital Maps for the Support of Emergency Teams During Rescue Operations. 2 indexed citations
17.
Androutsopoulos, Ion, et al.. (2001). A Memory-Based Approach to Anti-Spam Filtering. 9 indexed citations
18.
Παλιούρας, Γεώργιος, Vangelis Karkaletsis, & Constantine D. Spyropoulos. (2001). Machine Learning and Its Applications: advanced lectures. DIAL (Catholic University of Leuven). 25 indexed citations
19.
Παλιούρας, Γεώργιος, Christos Papatheodorou, Vangelis Karkaletsis, & Constantine D. Spyropoulos. (2000). Clustering the Users of Large Web Sites into Communities. International Conference on Machine Learning. 719–726. 38 indexed citations
20.
Παλιούρας, Γεώργιος, Vangelis Karkaletsis, & Constantine D. Spyropoulos. (1999). Learning rules for large vocabulary word sense disambiguation. International Joint Conference on Artificial Intelligence. 674–679. 4 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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