Daniel Funke
Impact in
-
- Computational Geometry and Mesh Generation
-
- Parallel Computing and Optimization Techniques
Papers in
-
- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 2
- Distributed systems and fault tolerance 1
-
- Parallel Computing and Optimization Techniques 2
- Co-authors
- Peter Sanders (3 shared papers)T. Hauth (1 shared paper)Dennis Schieferdecker (1 shared paper)M. Clemencic (2 shared papers)Vincenzo Innocente (1 shared paper)I. Shapoval (2 shared papers)Fabian Brosig (1 shared paper)D. Piparo (2 shared papers)
- Journals
- Algorithmica (1 paper)Journal of Physics Conference Series (2 papers)CERN Bulletin (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Daniel Funke
5 papers receiving 20 citations
Peers
Comparison fields: 5 of 14
- Computer Graphics and Computer-Aided Design 4
- Hardware and Architecture 5
- Nuclear and High Energy Physics 9
- Computer Networks and Communications 12
- Computer Vision and Pattern Recognition 4
Countries citing papers authored by Daniel Funke
This map shows the geographic impact of Daniel Funke'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 Funke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Funke more than expected).
Fields of papers citing papers by Daniel Funke
This network shows the impact of papers produced by Daniel Funke. 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 Funke. The network helps show where Daniel Funke may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel Funke, 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 | 2014 | 7 | |
| 2 | 2015 | 5 | |
| 3 | 2017 | 5 | |
| 4 | 2012 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2015 | 0 |
About Daniel Funke
Daniel Funke is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Information Systems and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 20 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Data Management and Algorithms (1 paper), Cloud Computing and Resource Management (1 paper), Distributed systems and fault tolerance (1 paper), Advanced Numerical Analysis Techniques (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (4 citations), Hardware and Architecture (5 citations), Nuclear and High Energy Physics (9 citations), Computer Networks and Communications (12 citations) and Computer Vision and Pattern Recognition (4 citations). Daniel Funke has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Peter Sanders, T. Hauth, Dennis Schieferdecker, M. Clemencic, Vincenzo Innocente, I. Shapoval, Fabian Brosig, D. Piparo, Pere Mato and Michael Havbro Faber. Their work appears in journals such as Algorithmica, Journal of Physics Conference Series and CERN Bulletin.
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.