Daniel Funke
Impact in
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- Computational Geometry and Mesh Generation
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
Papers in
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- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 2
- IoT and Edge/Fog Computing 1
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- Advanced Multi-Objective Optimization Algorithms 2
- Co-authors
- Florian Kerschbaum (1 shared paper)Peter Sanders (3 shared papers)I. Shapoval (2 shared papers)Dennis Schieferdecker (1 shared paper)M. Clemencic (2 shared papers)Fabian Brosig (1 shared paper)G. Quast (1 shared paper)B. Hegner (2 shared papers)
- Journals
- Algorithmica (1 paper)Lecture notes in computer science (1 paper)Journal of Physics Conference Series (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Daniel Funke
8 papers receiving 34 citations
Peers
Comparison fields: 5 of 21
- Computer Graphics and Computer-Aided Design 4
- Nuclear and High Energy Physics 10
- Computer Networks and Communications 17
- Hardware and Architecture 5
- Artificial Intelligence 13
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 14 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 | 2010 | 11 | |
| 2 | 2014 | 7 | |
| 3 | 2015 | 6 | |
| 4 | 2017 | 5 | |
| 5 | 2021 | 3 | |
| 6 | 2012 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2015 | 1 |
About Daniel Funke
Daniel Funke is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Hardware and Architecture, Communication and Sociology and Political Science, having authored 8 papers that have together received 36 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Distributed and Parallel Computing Systems (2 papers), Cloud Computing and Resource Management (1 paper), IoT and Edge/Fog Computing (1 paper), Media Influence and Politics (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (4 citations), Nuclear and High Energy Physics (10 citations), Computer Networks and Communications (17 citations), Hardware and Architecture (5 citations) and Artificial Intelligence (13 citations). Daniel Funke has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Florian Kerschbaum, Peter Sanders, I. Shapoval, Dennis Schieferdecker, M. Clemencic, Fabian Brosig, G. Quast, B. Hegner, D. Piparo and T. Hauth. Their work appears in journals such as Algorithmica, Lecture notes in computer science, Journal of Physics Conference Series and CERN Document Server (European Organization for Nuclear Research).
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.