David Broneske

519 citations
65 papers · 194 · h-index 8

Impact in

Papers in

    • Advanced Database Systems and Queries 18
    • Advanced Data Storage Technologies 14
    • Distributed systems and fault tolerance 6
    • Caching and Content Delivery 4
    • Cloud Computing and Resource Management 9
    • Data Mining Algorithms and Applications 6

David Broneske

51 papers receiving 184 citations

Peers

David Broneske
Comparison fields: 5 of 54
  • Computer Networks and Communications 101
  • Signal Processing 47
  • Hardware and Architecture 20
  • Information Systems 65
  • Health Informatics 3
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Citations per year

Countries citing papers authored by David Broneske

Since Specialization
Citations

This map shows the geographic impact of David Broneske'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 David Broneske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Broneske more than expected).

Fields of papers citing papers by David Broneske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Broneske. 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 David Broneske. The network helps show where David Broneske may publish in the future.

Co-authors

The 25 scholars most cited alongside David Broneske, 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 David Broneske Line = papers co-authored together David Broneske links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201414
2 201813
3 201812
4 201712
5 202111
6 20249
7
Toward GPU Accelerated Data Stream Processing
20159
8 20187
9 20186
10 20186
11 20216
12 20245
13
Hardware-Sensitive Scan Operator Variants for Compiled Selection Pipelines.
20175
14 20175
15
Challenges in Finding an Appropriate Multi-Dimensional Index Structure with Respect to Specific Use Cases
20125
16 20244
17 20234
18 20234
19 20174
20 20224

About David Broneske

David Broneske is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Hardware and Architecture, having authored 65 papers that have together received 194 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (18 papers), Advanced Data Storage Technologies (14 papers), Data Management and Algorithms (10 papers), Cloud Computing and Resource Management (9 papers), Parallel Computing and Optimization Techniques (9 papers), Data Mining Algorithms and Applications (6 papers), Distributed systems and fault tolerance (6 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (101 citations), Signal Processing (47 citations), Hardware and Architecture (20 citations), Information Systems (65 citations) and Health Informatics (3 citations). David Broneske has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Gunter Saake, Veit Köppen, Max Heimel, Pierrette Bouillon, Sebastian Breß, Thilo Pionteck, Andreas Meister, Robert Heyer, Jan Karem Höhne and Jürgen Teich. Their work appears in journals such as Distributed and Parallel Databases, Scientific Reports, Journal of Systems and Software, Proceedings of the VLDB Endowment and ACM Transactions on Storage.

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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