Yannis Stavrakas
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Computer Vision and Pattern Recognition
- Co-authors
- Yannis VassiliouFrançois RousseauMichalis VazirgiannisPolykarpos MeladianosGiannis NikolentzosGeorge PapastefanatosManolis GergatsoulisSanjay Singh
- Topics
- Semantic Web and Ontologies (13 papers)Advanced Database Systems and Queries (9 papers)Web Data Mining and Analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the VLDB EndowmentComputer Communications
In The Last Decade
Yannis Stavrakas
24 papers receiving 155 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 98
- Information Systems 67
- Computer Networks and Communications 34
- Statistical and Nonlinear Physics 25
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by Yannis Stavrakas
This map shows the geographic impact of Yannis Stavrakas'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 Yannis Stavrakas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yannis Stavrakas more than expected).
Fields of papers citing papers by Yannis Stavrakas
This network shows the impact of papers produced by Yannis Stavrakas. 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 Yannis Stavrakas. The network helps show where Yannis Stavrakas may publish in the future.
Co-authorship network of co-authors of Yannis Stavrakas
This figure shows the co-authorship network connecting the top 25 collaborators of Yannis Stavrakas. A scholar is included among the top collaborators of Yannis Stavrakas 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 Yannis Stavrakas. Yannis Stavrakas 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 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 35 | |
| 6 | 23 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | Diachronic Linked Data: Capturing the Evolution of Structured Interrelated Information on the Web. | 2 |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | A Platform for Supporting Data Analytics on Twitter: Challenges and Objectives. | 4 |
| 16 | 2 | |
| 17 | Entity Extraction and Consolidation for Social Web Content Preservation | 4 |
| 18 | 0 | |
| 19 | 7 | |
| 20 | 2 |
About Yannis Stavrakas
Yannis Stavrakas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 26 papers that have together received 171 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Advanced Database Systems and Queries (9 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (98 citations), Information Systems (67 citations) and Statistical and Nonlinear Physics (25 citations). Yannis Stavrakas has collaborated with scholars based in Greece, France and Germany. Frequent co-authors include Yannis Vassiliou, François Rousseau, Michalis Vazirgiannis, Polykarpos Meladianos, Giannis Nikolentzos, George Papastefanatos, Manolis Gergatsoulis, Sanjay Singh, Vassilis Plachouras and Konstantinos P. Ferentinos. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the VLDB Endowment and Computer Communications.
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.