Daniel Warneke

1.3k citations
17 papers · 845 · 1 hit paper · h-index 11

Impact in

Papers in

    • Distributed and Parallel Computing Systems 9
    • Advanced Data Storage Technologies 7
    • Advanced Database Systems and Queries 3
    • Caching and Content Delivery 2
    • Peer-to-Peer Network Technologies 2
    • Cloud Computing and Resource Management 13

Daniel Warneke

17 papers receiving 763 citations

Daniel Warneke's Hit Papers

The Stratosphere platform for big data analytics 2014 · 258 citations
2580+4+8Years since publication50100150200250

Peers

Daniel Warneke
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
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Daniel Warneke relative to Fabian Hueske Germany Fabian Hueske's profile →
Citations per field
00.5×1.5×
Fabian Hueske · 1×
Citations per year

Countries citing papers authored by Daniel Warneke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Warneke Line = papers co-authored together Daniel Warneke links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
The Stratosphere platform for big data analytics
Hit paper breakdown →
2014258
2 2011194
3 2010168
4 200977
5 201030
6 200819
7 201118
8
MapReduce and PACT - Comparing Data Parallel Programming Models.
201117
9 201317
10 201214
11 201012
12 201110
13 20134
14 20133
15 20112
16 20111
17 20091

About Daniel Warneke

Daniel Warneke is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Hardware and Architecture and Computer Vision and Pattern Recognition, 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), Scientific Computing and Data Management (3 papers), Advanced Database Systems and Queries (3 papers), Caching and Content Delivery (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (668 citations), Information Systems (589 citations), Information Systems and Management (128 citations), Hardware and Architecture (69 citations) and Computer Vision and Pattern Recognition (156 citations). Daniel Warneke has collaborated with scholars based in Germany and United States. Frequent co-authors include Odej Kao, Stephan Ewen, Volker Markl, Fabian Hueske, Dominic Battré, A. Alexandrov, Sebastian Schelter, Kostas Tzoumas, Ulf Leser and Rico Bergmann. 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.

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