Georgios Siolas
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Computer Networks and Communications
- Co-authors
- Andreas StafylopatisRolandos Alexandros PotamiasGeorgios AlexandridisGerasimos SpanakisNikolaos GalatsanosIlianna KolliaAristidis LikasGeorge Caridakis
- Topics
- Topic Modeling (7 papers)Text and Document Classification Technologies (6 papers)Natural Language Processing Techniques (5 papers)
- Partner nations
- GreeceItalyUnited Kingdom
In The Last Decade
Georgios Siolas
24 papers receiving 265 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 202
- Information Systems 64
- Computer Vision and Pattern Recognition 40
- Sociology and Political Science 25
- Computer Networks and Communications 24
Countries citing papers authored by Georgios Siolas
This map shows the geographic impact of Georgios Siolas'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 Georgios Siolas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgios Siolas more than expected).
Fields of papers citing papers by Georgios Siolas
This network shows the impact of papers produced by Georgios Siolas. 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 Georgios Siolas. The network helps show where Georgios Siolas may publish in the future.
Co-authorship network of co-authors of Georgios Siolas
This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Siolas. A scholar is included among the top collaborators of Georgios Siolas 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 Georgios Siolas. Georgios Siolas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | Improving Social Recommendations by applying a Personalized Item Clustering Policy. | 2 |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 19 | |
| 20 | 1 |
About Georgios Siolas
Georgios Siolas is a scholar working on Medical Laboratory Technology, Artificial Intelligence and Information Systems, having authored 24 papers that have together received 285 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Text and Document Classification Technologies (6 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (202 citations), Information Systems (64 citations) and Computer Vision and Pattern Recognition (40 citations). Georgios Siolas has collaborated with scholars based in Greece, Italy and United Kingdom. Frequent co-authors include Andreas Stafylopatis, Rolandos Alexandros Potamias, Georgios Alexandridis, Gerasimos Spanakis, Nikolaos Galatsanos, Ilianna Kollia, Aristidis Likas, George Caridakis, Phivos Mylonas and Stavroula–Evita Fotinea. Their work appears in journals such as Neural Computing and Applications, Data Mining and Knowledge Discovery and The Computer Journal.
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.