David Defour
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Numerical Methods and Algorithms
- Polynomial and algebraic computation
Papers in
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- Numerical Methods and Algorithms 20
- Matrix Theory and Algorithms 3
- Polynomial and algebraic computation 2
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- Parallel Computing and Optimization Techniques 10
- Co-authors
- Jean‐Michel Muller (7 shared papers)Florent de Dinechin (5 shared papers)Stef Graillat (4 shared papers)Roman Iakymchuk (4 shared papers)Federico Milano (3 shared papers)Eric Petit (4 shared papers)Nathalie Revol (3 shared papers)Christoph Lauter (2 shared papers)
In The Last Decade
David Defour
25 papers receiving 241 citations
Peers
Comparison fields: 5 of 57
- Hardware and Architecture 82
- Computational Theory and Mathematics 157
- Signal Processing 54
- Software 6
- Statistical and Nonlinear Physics 17
Countries citing papers authored by David Defour
This map shows the geographic impact of David Defour'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 David Defour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Defour more than expected).
Fields of papers citing papers by David Defour
This network shows the impact of papers produced by David Defour. 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 David Defour. The network helps show where David Defour may publish in the future.
Co-authors
The 25 scholars most cited alongside David Defour, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 40 | |
| 2 | 2005 | 22 | |
| 3 | CR-LIBM A library of correctly rounded elementary functions in double-precision | 2006 | 21 |
| 4 | 2019 | 18 | |
| 5 | 1994 | 16 | |
| 6 | 2003 | 16 | |
| 7 | 2017 | 15 | |
| 8 | 2004 | 13 | |
| 9 | 2017 | 11 | |
| 10 | Optimisation of wastewater treatment plant design and operation using simulation and cost analysis | 1999 | 10 |
| 11 | Fast correct rounding of elementary functions in double precision using double-extended arithmetic | 2004 | 9 |
| 12 | 2003 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2014 | 7 | |
| 16 | 2011 | 7 | |
| 17 | 2001 | 7 | |
| 18 | 2016 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2021 | 3 |
About David Defour
David Defour is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 28 papers that have together received 258 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (20 papers), Parallel Computing and Optimization Techniques (10 papers), Digital Filter Design and Implementation (8 papers), Advanced Data Storage Technologies (4 papers), Cryptography and Residue Arithmetic (3 papers), Matrix Theory and Algorithms (3 papers), Advancements in PLL and VCO Technologies (3 papers) and Polynomial and algebraic computation (2 papers). The work is most often cited by research in Hardware and Architecture (82 citations), Computational Theory and Mathematics (157 citations), Signal Processing (54 citations), Software (6 citations) and Statistical and Nonlinear Physics (17 citations). David Defour has collaborated with scholars based in France, Ireland and Belgium. Frequent co-authors include Jean‐Michel Muller, Florent de Dinechin, Stef Graillat, Roman Iakymchuk, Federico Milano, Eric Petit, Nathalie Revol, Christoph Lauter, Peter Kornerup and Nicolas Brisebarre. Their work appears in journals such as IEEE Transactions on Computers, Journal of Parallel and Distributed Computing, IEEE Transactions on Emerging Topics in Computing, Water Science & Technology and Numerical Algorithms.
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.