Vasilis Vassalos
- Computer Networks and Communications top 1%
- Artificial Intelligence top 1%
- Signal Processing top 1%
- Information Systems top 1%
- Management Science and Operations Research top 5%
- Co-authors
- Yannis PapakonstantinouHéctor García-MolinaJeffrey D. UllmanDallan QuassYehoshua SagivJennifer WidomAnand RajaramanRamana Yerneni
- Topics
- Advanced Database Systems and Queries (39 papers)Semantic Web and Ontologies (29 papers)Data Management and Algorithms (26 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringCalifornia Management ReviewMachine Learning
- Partner nations
- GreeceUnited StatesFrance
In The Last Decade
Vasilis Vassalos
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 54
- Computer Networks and Communications 1.1k
- Artificial Intelligence 922
- Signal Processing 540
- Information Systems 514
- Management Science and Operations Research 127
Countries citing papers authored by Vasilis Vassalos
This map shows the geographic impact of Vasilis Vassalos'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 Vasilis Vassalos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasilis Vassalos more than expected).
Fields of papers citing papers by Vasilis Vassalos
This network shows the impact of papers produced by Vasilis Vassalos. 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 Vasilis Vassalos. The network helps show where Vasilis Vassalos may publish in the future.
Co-authorship network of co-authors of Vasilis Vassalos
This figure shows the co-authorship network connecting the top 25 collaborators of Vasilis Vassalos. A scholar is included among the top collaborators of Vasilis Vassalos 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 Vasilis Vassalos. Vasilis Vassalos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 17 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | Querying Expressive DL Ontologies under the ICAR Semantics. | 0 |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 29 | |
| 16 | 2 | |
| 17 | 28 | |
| 18 | Query Rewriting using Semistructured Views | 18 |
| 19 | Incremental Maintenance for Materialized Views over Semistructured Data | 68 |
| 20 | Query rewriting for semistructured data (extended version) | 2 |
About Vasilis Vassalos
Vasilis Vassalos is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (39 papers), Semantic Web and Ontologies (29 papers) and Data Management and Algorithms (26 papers). The work is most often cited by research in Signal Processing (540 citations), Computer Networks and Communications (1.1k citations) and Artificial Intelligence (922 citations). Vasilis Vassalos has collaborated with scholars based in Greece, United States and France. Frequent co-authors include Yannis Papakonstantinou, Héctor García-Molina, Jeffrey D. Ullman, Dallan Quass, Yehoshua Sagiv, Jennifer Widom, Anand Rajaraman, Ramana Yerneni, Svetlozar Nestorov and Antonios Deligiannakis. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, California Management Review and Machine Learning.
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.