Vasilis Samoladas
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Computational Geometry and Mesh Generation
Papers in
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- Data Management and Algorithms 10
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- Advanced Database Systems and Queries 8
- Peer-to-Peer Network Technologies 3
- Caching and Content Delivery 3
- Co-authors
- Lars ArgeJeffrey Scott VitterMinos GarofalakisDaniel KerenDaniel P. MirankerEftichios KoutroulisDezső SéraTamás Kerekes
- Journals
- Proceedings of the VLDB Endowment (2 papers)Journal of the ACM (1 paper)Algorithmica (1 paper)Information Systems (1 paper)ACM SIGMOD Record (1 paper)
- Partner nations
- GreeceUnited StatesIsrael
In The Last Decade
Vasilis Samoladas
18 papers receiving 233 citations
Peers
Comparison fields: 5 of 38
- Signal Processing 130
- Computer Graphics and Computer-Aided Design 38
- Computer Networks and Communications 127
- Artificial Intelligence 119
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Vasilis Samoladas
This map shows the geographic impact of Vasilis Samoladas'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 Samoladas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasilis Samoladas more than expected).
Fields of papers citing papers by Vasilis Samoladas
This network shows the impact of papers produced by Vasilis Samoladas. 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 Samoladas. The network helps show where Vasilis Samoladas may publish in the future.
Co-authors
The 25 scholars most cited alongside Vasilis Samoladas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 4 | |
| 4 | 2019 | 2 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 3 | |
| 7 | 2016 | 10 | |
| 8 | 2015 | 20 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 38 | |
| 11 | 2013 | 36 | |
| 12 | 2008 | 5 | |
| 13 | 2007 | 1 | |
| 14 | 2007 | 9 | |
| 15 | 2007 | 0 | |
| 16 | 2002 | 20 | |
| 17 | On indexing large databases for advanced data models | 2001 | 2 |
| 18 | 1999 | 69 | |
| 19 | 1998 | 16 |
About Vasilis Samoladas
Vasilis Samoladas is a scholar working on Signal Processing, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Information Systems and Management and Artificial Intelligence, having authored 19 papers that have together received 245 indexed citations. Recurring topics across this work include Data Management and Algorithms (10 papers), Advanced Database Systems and Queries (8 papers), Data Stream Mining Techniques (5 papers), Peer-to-Peer Network Technologies (3 papers), Caching and Content Delivery (3 papers), Recommender Systems and Techniques (3 papers), Computational Geometry and Mesh Generation (2 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Signal Processing (130 citations), Computer Graphics and Computer-Aided Design (38 citations), Computer Networks and Communications (127 citations), Artificial Intelligence (119 citations) and Computer Vision and Pattern Recognition (50 citations). Vasilis Samoladas has collaborated with scholars based in Greece, United States and Israel. Frequent co-authors include Lars Arge, Jeffrey Scott Vitter, Minos Garofalakis, Daniel Keren, Daniel P. Miranker, Eftichios Koutroulis, Dezső Séra, Tamás Kerekes, Remus Teodorescu and Christos H. Papadimitriou. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of the ACM, Algorithmica, Information Systems and ACM SIGMOD Record.
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.