Marcus Paradies
Impact in
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- Advanced Database Systems and Queries
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 10
- Advanced Data Storage Technologies 5
- Caching and Content Delivery 3
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- Graph Theory and Algorithms 10
- Co-authors
- Wolfgang Lehner (6 shared papers)Christof Bornhövd (4 shared papers)Michael Rudolf (3 shared papers)Hannes Voigt (3 shared papers)Peter Boncz (2 shared papers)Pablo Barceló (1 shared paper)Juan Sequeda (1 shared paper)Claudio Gutiérrez (1 shared paper)
- Journals
- CEAS Aeronautical Journal (1 paper)Datenbank-Spektrum (1 paper)Research Notes of the AAS (1 paper)Conference on Innovative Data Systems Research (1 paper)Qucosa (Saxon State and University Library Dresden) (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Marcus Paradies
16 papers receiving 179 citations
Peers
Comparison fields: 5 of 17
- Computer Networks and Communications 139
- Signal Processing 64
- Computer Vision and Pattern Recognition 121
- Artificial Intelligence 82
- Management Science and Operations Research 22
Countries citing papers authored by Marcus Paradies
This map shows the geographic impact of Marcus Paradies'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 Marcus Paradies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Paradies more than expected).
Fields of papers citing papers by Marcus Paradies
This network shows the impact of papers produced by Marcus Paradies. 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 Marcus Paradies. The network helps show where Marcus Paradies may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Paradies, 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 | 2018 | 73 | |
| 2 | The Graph Story of the SAP HANA Database. | 2013 | 36 |
| 3 | 2015 | 18 | |
| 4 | 2018 | 14 | |
| 5 | 2010 | 12 | |
| 6 | 2022 | 8 | |
| 7 | 2013 | 8 | |
| 8 | 2014 | 4 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 3 | |
| 11 | 2017 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2025 | 1 | |
| 14 | CryoDrill: Near-Data Processing in Deep and Cold Storage Hierarchies. | 2019 | 1 |
| 15 | 2019 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2010 | 0 | |
| 20 | 2021 | 0 |
About Marcus Paradies
Marcus Paradies is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Signal Processing, having authored 20 papers that have together received 188 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Graph Theory and Algorithms (10 papers), Advanced Data Storage Technologies (5 papers), Data Management and Algorithms (4 papers), Cloud Computing and Resource Management (3 papers), Caching and Content Delivery (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Computer Networks and Communications (139 citations), Signal Processing (64 citations), Computer Vision and Pattern Recognition (121 citations), Artificial Intelligence (82 citations) and Management Science and Operations Research (22 citations). Marcus Paradies has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Wolfgang Lehner, Christof Bornhövd, Michael Rudolf, Hannes Voigt, Peter Boncz, Pablo Barceló, Juan Sequeda, Claudio Gutiérrez, George Fletcher and Oskar van Rest. Their work appears in journals such as CEAS Aeronautical Journal, Datenbank-Spektrum, Research Notes of the AAS, Conference on Innovative Data Systems Research 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.