Daniel Funke
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
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- scientometrics and bibliometrics research
Papers in
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- Computational Geometry and Mesh Generation 2
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Peter W. Sanders (5 shared papers)Florian Kerschbaum (1 shared paper)Manuel Penschuck (1 shared paper)Darren Strash (1 shared paper)Christian Schulz (1 shared paper)Dennis Schieferdecker (1 shared paper)Gunter Quast (1 shared paper)Vincenzo Innocente (1 shared paper)
- Journals
- Physical Review Letters (1 paper)Journal of Parallel and Distributed Computing (1 paper)Algorithmica (1 paper)Lecture notes in computer science (2 papers)Journal of Physics Conference Series (2 papers)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Daniel Funke
10 papers receiving 930 citations
Daniel Funke's Hit Papers
Peers
Comparison fields: 5 of 61
- Nuclear and High Energy Physics 829
- Statistics, Probability and Uncertainty 39
- Hardware and Architecture 28
- Astronomy and Astrophysics 62
- Statistical and Nonlinear Physics 24
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 16 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 | Combined Measurement of the Higgs Boson Mass in p p Collisions at s = 7 and 8 TeV with the ATLAS and CMS Experiments Hit paper breakdown → | 2015 | 965 |
| 2 | 2018 | 42 | |
| 3 | 2014 | 14 | |
| 4 | 2010 | 12 | |
| 5 | 2017 | 7 | |
| 6 | 2015 | 6 | |
| 7 | 2015 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2012 | 1 |
About Daniel Funke
Daniel Funke is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture, Nuclear and High Energy Physics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Computational Geometry and Mesh Generation (2 papers), Privacy-Preserving Technologies in Data (1 paper), Cloud Computing and Resource Management (1 paper), Particle physics theoretical and experimental studies (1 paper), Cryptography and Data Security (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (829 citations), Statistics, Probability and Uncertainty (39 citations), Hardware and Architecture (28 citations), Astronomy and Astrophysics (62 citations) and Statistical and Nonlinear Physics (24 citations). Daniel Funke has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Peter W. Sanders, Florian Kerschbaum, Manuel Penschuck, Darren Strash, Christian Schulz, Dennis Schieferdecker, Gunter Quast, Vincenzo Innocente, T. Hauth and Danilo Piparo. Their work appears in journals such as Physical Review Letters, Journal of Parallel and Distributed Computing, Algorithmica, Lecture notes in computer science and Journal of Physics Conference Series.
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.