Hans De Meyer
Impact in
- Numerical Analysis top 0.5%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
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- Multi-Criteria Decision Making
Papers in
-
- Numerical methods for differential equations 39
- Differential Equations and Numerical Methods 16
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- Rough Sets and Fuzzy Logic 31
- Advanced Algebra and Logic 20
- Co-authors
- Bernard De Baets (112 shared papers)G. Vanden Berghe (47 shared papers)L.Gr. Ixaru (11 shared papers)Maarten Van Daele (25 shared papers)Greet Vanden Berghe (28 shared papers)Tanja Van Hecke (9 shared papers)Peter Dawyndt (5 shared papers)J. Van der Jeugt (13 shared papers)
In The Last Decade
Hans De Meyer
193 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 144
- Numerical Analysis 1.2k
- Management Science and Operations Research 935
- Computational Theory and Mathematics 1.2k
- Statistics and Probability 472
- Modeling and Simulation 203
Countries citing papers authored by Hans De Meyer
This map shows the geographic impact of Hans De Meyer'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 Hans De Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans De Meyer more than expected).
Fields of papers citing papers by Hans De Meyer
This network shows the impact of papers produced by Hans De Meyer. 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 Hans De Meyer. The network helps show where Hans De Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans De Meyer, 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 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 141 | |
| 2 | 2000 | 119 | |
| 3 | 2004 | 108 | |
| 4 | 2002 | 92 | |
| 5 | 2002 | 80 | |
| 6 | 2006 | 74 | |
| 7 | 2003 | 66 | |
| 8 | 2001 | 65 | |
| 9 | 2001 | 65 | |
| 10 | 2003 | 61 | |
| 11 | 1997 | 61 | |
| 12 | 2011 | 60 | |
| 13 | 2008 | 59 | |
| 14 | 2007 | 59 | |
| 15 | 2005 | 57 | |
| 16 | 1997 | 54 | |
| 17 | 2002 | 52 | |
| 18 | 2004 | 51 | |
| 19 | 2001 | 49 | |
| 20 | 1998 | 49 |
About Hans De Meyer
Hans De Meyer is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability and Signal Processing, having authored 204 papers that have together received 3.6k indexed citations. Recurring topics across this work include Numerical methods for differential equations (39 papers), Multi-Criteria Decision Making (31 papers), Rough Sets and Fuzzy Logic (31 papers), Financial Risk and Volatility Modeling (22 papers), Advanced Algebra and Logic (20 papers), Electromagnetic Simulation and Numerical Methods (19 papers), Fuzzy Systems and Optimization (17 papers) and Differential Equations and Numerical Methods (16 papers). The work is most often cited by research in Numerical Analysis (1.2k citations), Management Science and Operations Research (935 citations), Computational Theory and Mathematics (1.2k citations), Statistics and Probability (472 citations) and Modeling and Simulation (203 citations). Hans De Meyer has collaborated with scholars based in Belgium, Spain and Slovakia. Frequent co-authors include Bernard De Baets, G. Vanden Berghe, L.Gr. Ixaru, Maarten Van Daele, Greet Vanden Berghe, Tanja Van Hecke, Peter Dawyndt, J. Van der Jeugt, Veerle Fack and Micheline Lesaffre. Their work appears in journals such as Fuzzy Sets and Systems, Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications, Information Sciences and Computer Physics Communications.
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.