Michaël Rademaker

37 papers receiving 650 citations

Peers

Michaël Rademaker
Comparison fields: 5 of 115
  • Speech and Hearing 137
  • Management Science and Operations Research 167
  • Computational Theory and Mathematics 122
  • Health, Toxicology and Mutagenesis 83
  • Signal Processing 63
Replace J. Martı́n with:
J. Martı́n Spain
Raquel Martínez‐España Spain
Robert A. Lordo United States
M. Julia Flores Spain
Samantha Riccadonna Italy
Meng Hu China
Andrés Bueno-Crespo Spain
Marcos Gestal Spain
Maryam Tayefeh Mahmoudi Iran
Zhaoyuan Wang China
Michaël Rademaker relative to J. Martı́n Spain J. Martı́n's profile →
Citations per field
00.5×7.6×
J. Martı́n · 1×
Citations per year

Countries citing papers authored by Michaël Rademaker

Since Specialization
Citations

This map shows the geographic impact of Michaël Rademaker'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 Michaël Rademaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Rademaker more than expected).

Fields of papers citing papers by Michaël Rademaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaël Rademaker. 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 Michaël Rademaker. The network helps show where Michaël Rademaker may publish in the future.

Co-authors

The 25 scholars most cited alongside Michaël Rademaker, 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 Michaël Rademaker Line = papers co-authored together Michaël Rademaker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201588
2 201059
3 201345
4 201040
5 201637
6 201135
7 202233
8 200929
9 200926
10 201425
11 200924
12 201020
13 200820
14 201119
15 201618
16 201018
17 201017
18
BeneLearn 2012 : proceedings of the 21st Belgian-Dutch conference on machine learning
201214
19 201214
20 201011

About Michaël Rademaker

Michaël Rademaker is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence and Automotive Engineering, having authored 38 papers that have together received 690 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (10 papers), Game Theory and Voting Systems (8 papers), Advanced Algebra and Logic (7 papers), Rough Sets and Fuzzy Logic (6 papers), Economic and Environmental Valuation (4 papers), Noise Effects and Management (4 papers), History and advancements in chemistry (4 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Speech and Hearing (137 citations), Management Science and Operations Research (167 citations), Computational Theory and Mathematics (122 citations), Health, Toxicology and Mutagenesis (83 citations) and Signal Processing (63 citations). Michaël Rademaker has collaborated with scholars based in Belgium, Spain and United Kingdom. Frequent co-authors include Bernard De Baets, Dick Botteldooren, H. De Meyer, Kassaye Tolessa, Pascal Boeckx, Raúl Pérez‐Fernández, Timothy Van Renterghem, Guido Van Huylenbroeck, Arnaud Can and Martine Van Poppel. Their work appears in journals such as Fuzzy Sets and Systems, Information Fusion, International Journal of Approximate Reasoning, Information Sciences and Environmental Modelling & Software.

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.

Explore authors with similar magnitude of impact