Jonathan Dees
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in ⓘ
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- Data Quality and Management 4
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- Data Management and Algorithms 2
- Time Series Analysis and Forecasting 1
- Co-authors
- Norman May (1 shared paper)Franz Färber (1 shared paper)Wolfgang Lehner (2 shared papers)Ingo Müller (1 shared paper)Peter Sanders (2 shared papers)Martin Weidner (2 shared papers)Ismail Oukid (2 shared papers)Max Heimel (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)Datenbank-Spektrum (1 paper)Qucosa (Saxon State and University Library Dresden) (1 paper)
In The Last Decade
Jonathan Dees
4 papers receiving 202 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 173
- Hardware and Architecture 38
- Signal Processing 44
- Information Systems 88
- Information Systems and Management 11
Countries citing papers authored by Jonathan Dees
This map shows the geographic impact of Jonathan Dees'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 Jonathan Dees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Dees more than expected).
Fields of papers citing papers by Jonathan Dees
This network shows the impact of papers produced by Jonathan Dees. 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 Jonathan Dees. The network helps show where Jonathan Dees may publish in the future.
Co-authors
The 12 scholars most cited alongside Jonathan Dees, 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 | The SAP HANA Database - An Architecture Overview | 2012 | 188 |
| 2 | 2013 | 13 | |
| 3 | 2013 | 12 | |
| 4 | 2015 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 |
About Jonathan Dees
Jonathan Dees is a scholar working on Management Science and Operations Research, Signal Processing, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 6 papers that have together received 214 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Data Quality and Management (4 papers), Data Management and Algorithms (2 papers), Advanced Data Storage Technologies (2 papers), Cloud Computing and Resource Management (2 papers), Time Series Analysis and Forecasting (1 paper), Algorithms and Data Compression (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (173 citations), Hardware and Architecture (38 citations), Signal Processing (44 citations), Information Systems (88 citations) and Information Systems and Management (11 citations). Jonathan Dees has collaborated with scholars based in Germany and Denmark. Frequent co-authors include Norman May, Franz Färber, Wolfgang Lehner, Ingo Müller, Peter Sanders, Martin Weidner, Ismail Oukid, Max Heimel, Sebastian Breß and Franz Faerber. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Data(base) Engineering Bulletin, Datenbank-Spektrum and Qucosa (Saxon State and University Library Dresden).
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.