George Paliouras
- Artificial Intelligence
- Information Systems
- Statistical and Nonlinear Physics
- Psychiatry and Mental health
- Molecular Biology
- Co-authors
- George A. VourosElias ZavitsanosDimitrios PierrakosDimitrios VogiatzisSpyridoula VarlokostaGrigorios TzortzisMaría-Esther VidalPeter Garrard
- Topics
- Topic Modeling (3 papers)Text Readability and Simplification (3 papers)Semantic Web and Ontologies (3 papers)
- Journals
- Journal of Clinical OncologyIEEE Transactions on Knowledge and Data EngineeringApplied Sciences
- Partner nations
- GreeceUnited KingdomSlovakia
In The Last Decade
George Paliouras
16 papers receiving 135 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 81
- Information Systems 44
- Statistical and Nonlinear Physics 27
- Psychiatry and Mental health 21
- Molecular Biology 18
Countries citing papers authored by George Paliouras
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 26 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 34 | |
| 17 | 18 | |
| 18 | 1 |
About George Paliouras
George Paliouras is a scholar working on Artificial Intelligence, Geriatrics and Gerontology and Statistical and Nonlinear Physics, having authored 18 papers that have together received 148 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Text Readability and Simplification (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (81 citations), Statistical and Nonlinear Physics (27 citations) and Information Systems (44 citations). George Paliouras has collaborated with scholars based in Greece, United Kingdom and Slovakia. Frequent co-authors include George A. Vouros, Elias Zavitsanos, Dimitrios Pierrakos, Dimitrios Vogiatzis, Spyridoula Varlokosta, Grigorios Tzortzis, María-Esther Vidal, Peter Garrard, Fotis Aisopos and Dietmar Fernández‐Orth. Their work appears in journals such as Journal of Clinical Oncology, IEEE Transactions on Knowledge and Data Engineering and Applied Sciences.
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.