Daniel J. Grosse
Impact in
- Hardware and Architecture top 0.5%
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
- Computational Theory and Mathematics top 0.5%
- Quantum-Dot Cellular Automata
- Formal Methods in Verification
Papers in
-
- Embedded Systems Design Techniques 80
- VLSI and Analog Circuit Testing 7
-
- Formal Methods in Verification 66
- Quantum-Dot Cellular Automata 20
- Co-authors
- Rolf Drechsler (151 shared papers)Robert Wille (30 shared papers)Gerhard W. Dueck (11 shared papers)Hoang M. Le (29 shared papers)Vladimir Herdt (30 shared papers)Mathias Soeken (13 shared papers)Alireza Mahzoon (7 shared papers)Ulrich Kühne (16 shared papers)
In The Last Decade
Daniel J. Grosse
188 papers receiving 2.8k citations
Daniel J. Grosse's Hit Papers
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 780
- Computational Theory and Mathematics 1.2k
- Software 307
- Artificial Intelligence 579
- Electrical and Electronic Engineering 382
Countries citing papers authored by Daniel J. Grosse
This map shows the geographic impact of Daniel J. 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 J. 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 J. Grosse more than expected).
Fields of papers citing papers by Daniel J. Grosse
This network shows the impact of papers produced by Daniel J. 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 J. Grosse. The network helps show where Daniel J. Grosse may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. 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 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RevLib: An Online Resource for Reversible Functions and Reversible Circuits Hit paper breakdown → | 2008 | 402 |
| 2 | 2009 | 139 | |
| 3 | 1980 | 68 | |
| 4 | 2009 | 66 | |
| 5 | 2010 | 59 | |
| 6 | 2016 | 57 | |
| 7 | 2016 | 55 | |
| 8 | 2019 | 51 | |
| 9 | 2020 | 50 | |
| 10 | 2018 | 45 | |
| 11 | 2007 | 43 | |
| 12 | 2009 | 43 | |
| 13 | 2018 | 43 | |
| 14 | 2013 | 42 | |
| 15 | 2009 | 41 | |
| 16 | 2016 | 41 | |
| 17 | 2007 | 40 | |
| 18 | 2019 | 39 | |
| 19 | 2003 | 38 | |
| 20 | 2008 | 38 |
About Daniel J. Grosse
Daniel J. Grosse is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Software, Artificial Intelligence and Electrical and Electronic Engineering, having authored 196 papers that have together received 2.9k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (80 papers), Formal Methods in Verification (66 papers), Software Testing and Debugging Techniques (36 papers), Quantum-Dot Cellular Automata (20 papers), Low-power high-performance VLSI design (11 papers), Fusion materials and technologies (10 papers), Nuclear reactor physics and engineering (9 papers) and VLSI and Analog Circuit Testing (7 papers). The work is most often cited by research in Hardware and Architecture (780 citations), Computational Theory and Mathematics (1.2k citations), Software (307 citations), Artificial Intelligence (579 citations) and Electrical and Electronic Engineering (382 citations). Daniel J. 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, Mathias Soeken, Alireza Mahzoon, Ulrich Kühne, Bruce J. Turner and Frank Sill Torres. Their work appears in journals such as Fusion Engineering and Design, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Systems Architecture, International Journal on Software Tools for Technology Transfer and Lecture notes in computer science.
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.