George Paliouras

1.0k total citations
18 papers, 148 citations indexed

About

George Paliouras is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, George Paliouras has authored 18 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in George Paliouras's work include Topic Modeling (3 papers), Text Readability and Simplification (3 papers) and Semantic Web and Ontologies (3 papers). George Paliouras is often cited by papers focused on Topic Modeling (3 papers), Text Readability and Simplification (3 papers) and Semantic Web and Ontologies (3 papers). George Paliouras collaborates with scholars based in Greece, United Kingdom and Slovakia. George Paliouras's co-authors include Elias Zavitsanos, George A. Vouros, Dimitrios Pierrakos, Dimitrios Vogiatzis, Spyridoula Varlokosta, Grigorios Tzortzis, Fotis Aisopos, María-Esther Vidal, Peter Garrard and Jordi Rambla and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Knowledge and Data Engineering and Applied Sciences.

In The Last Decade

George Paliouras

16 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George Paliouras Greece	7	81	44	27	21	18	18	148
Izabela Stefaniak Poland	4	136 1.7×	27 0.6×	2 0.1×	13 0.6×	22 1.2×	12	223
Monali Bordoloi India	7	171 2.1×	65 1.5×	9 0.3×	2 0.1×	7 0.4×	15	237
Avishek Joey Bose United States	6	89 1.1×	34 0.8×	6 0.2×	3 0.1×	3 0.2×	19	148
Daqing Wu China	7	76 0.9×	23 0.5×	10 0.4×	3 0.1×	2 0.1×	13	222
Shufeng Xiong China	9	282 3.5×	78 1.8×	8 0.3×	2 0.1×	48 2.7×	27	369
Ben Allison United Kingdom	6	182 2.2×	62 1.4×	16 0.6×		17 0.9×	14	242
Maria das Graças Volpe Nunes Brazil	7	203 2.5×	26 0.6×	56 2.1×		20 1.1×	21	262
Anil Kumar Gupta India	4	88 1.1×	28 0.6×	7 0.3×		8 0.4×	8	178
Najoung Kim United States	10	289 3.6×	33 0.8×	3 0.1×	13 0.6×	12 0.7×	19	354
Elaheh ShafieiBavani Australia	8	55 0.7×	24 0.5×	6 0.2×		10 0.6×	10	134

Countries citing papers authored by George Paliouras

Since Specialization

Citations

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

Fields of papers citing papers by George Paliouras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Paliouras

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

All Works

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18 of 18 papers shown

Arnal, Magdalena, Giorgio Bini, Dietmar Fernández‐Orth, et al.. (2022). Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer's disease. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 14(1). e12300–e12300. 6 indexed citations

Papatriantafyllou, John, et al.. (2022). LANGaware: Robust Multimodal Machine Learning Methods for the Early Detection of Neurodegenerative and Psychiatric Diseases. Alzheimer s & Dementia. 18(S5).

Aisopos, Fotis, et al.. (2021). Calibrating Mini-Mental State Examination Scores to Predict Misdiagnosed Dementia Patients. Applied Sciences. 11(17). 8055–8055. 7 indexed citations

Paliouras, George, et al.. (2021). LANGaware: Introducing the right solution for the early detection of neurodegenerative and psychiatric diseases. Alzheimer s & Dementia. 17(S5). 1 indexed citations

Paliouras, George, et al.. (2021). LANGaware: Leveraging machine learning on natural language for the early detection of neurodegenerative and psychiatric diseases. Alzheimer s & Dementia. 17(S11). 1 indexed citations

Menasalvas, Ernestina, María-Esther Vidal, María Torrente, et al.. (2020). A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. 193–196. 2 indexed citations

Athanasopoulos, George, et al.. (2018). Predicting the Evolution of Communities with Online Inductive Logic Programming. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations

Torrente, María, et al.. (2018). Big data for supporting precision medicine in lung cancer patients.. Journal of Clinical Oncology. 36(15_suppl). e20546–e20546. 2 indexed citations

Paliouras, George, et al.. (2017). Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis. 33–38. 26 indexed citations

10.

Tzortzis, Grigorios, et al.. (2017). Predicting the evolution of communities in social networks using structural and temporal features. 14 indexed citations

11.

Vogiatzis, Dimitrios, et al.. (2015). Predicting the Evolution of Communities in Social Networks. 1–6. 16 indexed citations

12.

Paliouras, George, et al.. (2014). Spam Filtering. 1–12. 10 indexed citations

13.

Artikis, Alexander, et al.. (2013). Event recognition for assisted independent living. 1–5. 3 indexed citations

14.

Karampiperis, Pythagoras, et al.. (2011). ER designer toolkit. 1–5. 2 indexed citations

15.

Vogiatzis, Dimitrios, et al.. (2010). Expert based prediction of user preferences. 112–117. 3 indexed citations

16.

Zavitsanos, Elias, George Paliouras, & George A. Vouros. (2010). Gold Standard Evaluation of Ontology Learning Methods through Ontology Transformation and Alignment. IEEE Transactions on Knowledge and Data Engineering. 23(11). 1635–1648. 34 indexed citations

17.

Pierrakos, Dimitrios & George Paliouras. (2009). Personalizing Web Directories with the Aid of Web Usage Data. IEEE Transactions on Knowledge and Data Engineering. 22(9). 1331–1344. 18 indexed citations

18.

Abbott, Barbara, Annette Herskovits, Philip L. Peterson, et al.. (1996). Book reviews. Minds and Machines. 6(2). 239–285. 1 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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