Daniel Große
Impact in
- Hardware and Architecture top 1%
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
- Software top 2%
- Software Testing and Debugging Techniques
Papers in ⓘ
-
- Embedded Systems Design Techniques 46
- VLSI and Analog Circuit Testing 41
- Parallel Computing and Optimization Techniques 12
- Software 36
- Software Testing and Debugging Techniques 27
- Co-authors
- Rolf Drechsler (108 shared papers)Robert Wille (22 shared papers)Gerhard W. Dueck (9 shared papers)Hoang M. Le (21 shared papers)Vladimir Herdt (18 shared papers)Bruce J. Turner (2 shared papers)Mathias Soeken (10 shared papers)Ulrich Kühne (13 shared papers)
In The Last Decade
Daniel Große
141 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 68
- Hardware and Architecture 663
- Software 265
- Computational Theory and Mathematics 845
- Artificial Intelligence 567
- Electrical and Electronic Engineering 626
Countries citing papers authored by Daniel Große
This map shows the geographic impact of Daniel Große'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 Große with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Große more than expected).
Fields of papers citing papers by Daniel Große
This network shows the impact of papers produced by Daniel Große. 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 Große. The network helps show where Daniel Große may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Große, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 107 | |
| 2 | 1980 | 61 | |
| 3 | 2016 | 49 | |
| 4 | 2009 | 47 | |
| 5 | 2019 | 47 | |
| 6 | 2010 | 45 | |
| 7 | 2016 | 43 | |
| 8 | 2007 | 43 | |
| 9 | 2018 | 41 | |
| 10 | 2020 | 40 | |
| 11 | 2013 | 39 | |
| 12 | 2009 | 37 | |
| 13 | 2003 | 35 | |
| 14 | 2009 | 34 | |
| 15 | 2007 | 32 | |
| 16 | 2018 | 32 | |
| 17 | 2007 | 30 | |
| 18 | 2008 | 30 | |
| 19 | 2009 | 29 | |
| 20 | 2019 | 29 |
About Daniel Große
Daniel Große is a scholar working on Hardware and Architecture, Software, Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 150 papers that have together received 1.8k indexed citations. Recurring topics across this work include Formal Methods in Verification (54 papers), Embedded Systems Design Techniques (46 papers), VLSI and Analog Circuit Testing (41 papers), Software Testing and Debugging Techniques (27 papers), Radiation Effects in Electronics (20 papers), Quantum Computing Algorithms and Architecture (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Quantum-Dot Cellular Automata (11 papers). The work is most often cited by research in Hardware and Architecture (663 citations), Software (265 citations), Computational Theory and Mathematics (845 citations), Artificial Intelligence (567 citations) and Electrical and Electronic Engineering (626 citations). Daniel Große has collaborated with scholars based in Germany, Austria and Canada. Frequent co-authors include Rolf Drechsler, Robert Wille, Gerhard W. Dueck, Hoang M. Le, Vladimir Herdt, Bruce J. Turner, Mathias Soeken, Ulrich Kühne, Alireza Mahzoon and U. Fischer. Their work appears in journals such as Fusion Engineering and Design, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Evolution, Journal of Systems Architecture and International Journal on Software Tools for Technology Transfer.
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.