H. De Meyer

4.4k citations
183 papers · 3.2k · h-index 34

Impact in

Papers in

H. De Meyer

175 papers receiving 3.0k citations

Peers

H. De Meyer
Comparison fields: 5 of 138
  • Numerical Analysis 1.1k
  • Computational Theory and Mathematics 1.0k
  • Management Science and Operations Research 764
  • Statistics and Probability 411
  • Modeling and Simulation 196
Replace W. J. Thron with:
W. J. Thron United States
G. A. Garreau Nigeria
Tom M. Apostol United States
William B. Jones United States
W. J. Studden United States
H. Woźniakowski United States
Michel Ledoux France
T. J. Rivlin United States
Ky Fan United States
J. F. Traub United States
H. De Meyer relative to W. J. Thron United States W. J. Thron's profile →
Citations per field
00.5×
W. J. Thron · 1×
Citations per year

Countries citing papers authored by H. De Meyer

Since Specialization
Citations

This map shows the geographic impact of H. 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 H. 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 H. De Meyer more than expected).

Fields of papers citing papers by H. De Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. 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 H. De Meyer. The network helps show where H. De Meyer may publish in the future.

Co-authors

The 25 scholars most cited alongside H. De Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. De Meyer Line = papers co-authored together H. De Meyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999131
2 2000111
3 200494
4 200287
5 200278
6 200163
7 199761
8 200659
9 201159
10 200154
11 199754
12 200753
13 200352
14 199849
15 200349
16 200848
17 198848
18 199548
19 200548
20 200146

About H. De Meyer

H. De Meyer is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Management Science and Operations Research, Statistics and Probability and Signal Processing, having authored 183 papers that have together received 3.2k indexed citations. Recurring topics across this work include Numerical methods for differential equations (37 papers), Multi-Criteria Decision Making (28 papers), Rough Sets and Fuzzy Logic (27 papers), Electromagnetic Simulation and Numerical Methods (19 papers), Financial Risk and Volatility Modeling (19 papers), Advanced Algebra and Logic (17 papers), Differential Equations and Numerical Methods (15 papers) and Fuzzy Systems and Optimization (15 papers). The work is most often cited by research in Numerical Analysis (1.1k citations), Computational Theory and Mathematics (1.0k citations), Management Science and Operations Research (764 citations), Statistics and Probability (411 citations) and Modeling and Simulation (196 citations). H. De Meyer has collaborated with scholars based in Belgium, Spain and Czechia. Frequent co-authors include Bernard De Baets, G. Vanden Berghe, L.Gr. Ixaru, Maarten Van Daele, Greet Vanden Berghe, Tanja Van Hecke, J. Van der Jeugt, Peter Dawyndt, Veerle Fack and P. Matthys. 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.

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