Michaël Rademaker

37 papers receiving 665 citations

Peers

Michaël Rademaker
Comparison fields: 5 of 86
  • Speech and Hearing 130
  • Management Science and Operations Research 110
  • Economics and Econometrics 114
  • Analytical Chemistry 35
  • Pharmacology 45
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Jongwoo Song South Korea
Germán Aneiros Spain
Paola Zuccolotto Italy
Francesco Molà Italy
Anne Ruiz‐Gazen France
Po‐An Chen Taiwan
Henrique Ferraz de Arruda Brazil
Simone Borra Italy
María Pilar Frías Spain
César A. Astudillo Chile
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201588
2 201060
3 201345
4 201043
5 202240
6 201638
7 201137
8 200929
9 200926
10 201425
11 200924
12 200820
13 201020
14 201018
15 201018
16 201118
17 201618
18
BeneLearn 2012 : proceedings of the 21st Belgian-Dutch conference on machine learning
201215
19 201215
20 201011

About Michaël Rademaker

Michaël Rademaker is a scholar working on Speech and Hearing, Management Science and Operations Research, Economics and Econometrics, Environmental Engineering and Computational Theory and Mathematics, having authored 40 papers that have together received 706 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (11 papers), Multi-Criteria Decision Making (9 papers), Noise Effects and Management (6 papers), Machine Learning and Data Classification (4 papers), Air Quality Monitoring and Forecasting (4 papers), Rough Sets and Fuzzy Logic (3 papers), Machine Fault Diagnosis Techniques (2 papers) and Data Mining and Machine Learning Applications (2 papers). The work is most often cited by research in Speech and Hearing (130 citations), Management Science and Operations Research (110 citations), Economics and Econometrics (114 citations), Analytical Chemistry (35 citations) and Pharmacology (45 citations). Michaël Rademaker has collaborated with scholars based in Belgium, Spain and United Kingdom. Frequent co-authors include Bernard De Baets C, Dick B. Botteldooren, Hans De Meyer, Timothy Van Renterghem, Pascal Boeckx, Raúl Pérez‐Fernández, Kassaye Tolessa, Guido Van Huylenbroeck, Arnaud Can and Martine Van Poppel. Their work appears in journals such as Environmental Modelling & Software, The Science of The Total Environment, Information Fusion, International Journal of Approximate Reasoning and Fuzzy Sets and Systems.

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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