Konstantinos Karanasos
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- Advanced Database Systems and Queries 15
- Advanced Data Storage Technologies 8
- Software System Performance and Reliability 4
- Information Systems top 1%
- Cloud Computing and Resource Management 18
- Signal Processing top 5%
- Data Management and Algorithms 9
- Hardware and Architecture top 10%
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- Scientific Computing and Data Management 10
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- Graph Theory and Algorithms 5
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- Semantic Web and Ontologies 5
Konstantinos Karanasos
33 papers receiving 694 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 599
- Information Systems 495
- Signal Processing 133
- Hardware and Architecture 80
- Information Systems and Management 74
Countries citing papers authored by Konstantinos Karanasos
This map shows the geographic impact of Konstantinos Karanasos'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 Konstantinos Karanasos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantinos Karanasos more than expected).
Fields of papers citing papers by Konstantinos Karanasos
This network shows the impact of papers produced by Konstantinos Karanasos. 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 Konstantinos Karanasos. The network helps show where Konstantinos Karanasos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Konstantinos Karanasos, 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 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 22 | |
| 8 | Unearthing inter-job dependencies for better cluster scheduling. | 2020 | 5 |
| 9 | 2020 | 8 | |
| 10 | Hydra: a federated resource manager for data-center scale analytics | 2019 | 20 |
| 11 | 2018 | 14 | |
| 12 | 2018 | 36 | |
| 13 | Mercury: hybrid centralized and distributed scheduling in large shared clusters | 2015 | 78 |
| 14 | WANalytics: Analytics for a geo-distributed data-intensive world | 2015 | 61 |
| 15 | 2011 | 30 | |
| 16 | 2011 | 10 | |
| 17 | 2010 | 12 | |
| 18 | Materialized View-Based Processing of RDF Queries | 2010 | 2 |
| 19 | 2010 | 5 | |
| 20 | P2P Views Over Annotated Documents | 2009 | 1 |
About Konstantinos Karanasos
Konstantinos Karanasos is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 33 papers that have together received 716 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (18 papers), Advanced Database Systems and Queries (15 papers), Scientific Computing and Data Management (10 papers), Data Management and Algorithms (9 papers), Advanced Data Storage Technologies (8 papers), Graph Theory and Algorithms (5 papers), Semantic Web and Ontologies (5 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Computer Networks and Communications (599 citations), Information Systems (495 citations) and Signal Processing (133 citations). Konstantinos Karanasos has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Sriram Rao, Carlo Curino, Ashish Vulimiri, George Varghese, Alekh Jindal, Hiren Patel, Jitendra Padhye, P. Brighten Godfrey, Ioana Manolescu and Peter Pietzuch. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and The VLDB 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.