Daniel Warneke
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- Distributed and Parallel Computing Systems 9
- Advanced Data Storage Technologies 7
- Advanced Database Systems and Queries 3
- Peer-to-Peer Network Technologies 2
- Information Systems top 1%
- Cloud Computing and Resource Management 13
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- Scientific Computing and Data Management 3
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 3
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- Graph Theory and Algorithms 2
- Co-authors
- Odej KaoVolker MarklStephan EwenFabian HueskeDominic BattréA. AlexandrovSebastian SchelterKostas Tzoumas
- Journals
- The VLDB Journal (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Journal of Grid Computing (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniel Warneke
17 papers receiving 763 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 668
- Information Systems 589
- Information Systems and Management 128
- Hardware and Architecture 69
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Daniel Warneke
This map shows the geographic impact of Daniel Warneke'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 Daniel Warneke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Warneke more than expected).
Fields of papers citing papers by Daniel Warneke
This network shows the impact of papers produced by Daniel Warneke. 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 Daniel Warneke. The network helps show where Daniel Warneke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Warneke, 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 Stratosphere platform for big data analyticsbreakdown → | 2014 | 258 |
| 2 | 2013 | 3 | |
| 3 | 2013 | 17 | |
| 4 | 2013 | 4 | |
| 5 | 2012 | 14 | |
| 6 | MapReduce and PACT - Comparing Data Parallel Programming Models. | 2011 | 17 |
| 7 | 2011 | 1 | |
| 8 | 2011 | 2 | |
| 9 | 2011 | 18 | |
| 10 | 2011 | 10 | |
| 11 | 2011 | 194 | |
| 12 | 2010 | 30 | |
| 13 | 2010 | 168 | |
| 14 | 2010 | 12 | |
| 15 | 2009 | 1 | |
| 16 | 2009 | 77 | |
| 17 | 2008 | 19 |
About Daniel Warneke
Daniel Warneke is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 17 papers that have together received 845 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (13 papers), Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (7 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Database Systems and Queries (3 papers), Scientific Computing and Data Management (3 papers), Peer-to-Peer Network Technologies (2 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Computer Networks and Communications (668 citations), Information Systems (589 citations) and Information Systems and Management (128 citations). Daniel Warneke has collaborated with scholars based in Germany and United States. Frequent co-authors include Odej Kao, Volker Markl, Stephan Ewen, Fabian Hueske, Dominic Battré, A. Alexandrov, Sebastian Schelter, Kostas Tzoumas, Johann-Christoph Freytag and Arvid Heise. Their work appears in journals such as The VLDB Journal, IEEE Transactions on Parallel and Distributed Systems, Journal of Grid Computing, Proceedings of the VLDB Endowment and Journal of Advances in Information Technology.
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.