Wim Michiels

345 total papers · 7.2k total citations
200 papers, 4.4k citations indexed

About

Wim Michiels is a scholar working on Control and Systems Engineering, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Wim Michiels has authored 200 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Control and Systems Engineering, 65 papers in Numerical Analysis and 58 papers in Computational Theory and Mathematics. Recurrent topics in Wim Michiels's work include Stability and Control of Uncertain Systems (94 papers), Numerical methods for differential equations (50 papers) and Matrix Theory and Algorithms (49 papers). Wim Michiels is often cited by papers focused on Stability and Control of Uncertain Systems (94 papers), Numerical methods for differential equations (50 papers) and Matrix Theory and Algorithms (49 papers). Wim Michiels collaborates with scholars based in Belgium, France and Czechia. Wim Michiels's co-authors include Silviu‐Iulian Niculescu, Sabine Mondié, Tomáš Vyhlídal, Chaouki T. Abdallah, Rifat Sipahi, Dirk Roose, Elias Jarlebring, Karl Meerbergen, Keqin Gu and Koen Engelborghs and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Physical Review A.

In The Last Decade

Wim Michiels

189 papers receiving 4.3k citations

Hit Papers

Stability and Stabilizati... 2008 2026 2014 2020 2011 2008 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wim Michiels 3.0k 1.2k 754 724 604 200 4.4k
Bassam Bamieh 2.6k 0.9× 1.0k 0.9× 398 0.5× 225 0.3× 701 1.2× 170 4.6k
Martin Weiß 3.6k 1.2× 480 0.4× 620 0.8× 447 0.6× 710 1.2× 75 5.2k
Shinji Hara 5.3k 1.8× 923 0.8× 836 1.1× 623 0.9× 424 0.7× 393 7.3k
P. Dorato 4.3k 1.4× 919 0.8× 750 1.0× 289 0.4× 350 0.6× 122 5.2k
G. Zames 4.4k 1.5× 417 0.4× 769 1.0× 585 0.8× 775 1.3× 73 5.6k
Rifat Sipahi 2.2k 0.7× 1.0k 0.9× 293 0.4× 329 0.5× 395 0.7× 151 3.4k
M. Vidyasagar 6.8k 2.3× 786 0.7× 838 1.1× 732 1.0× 962 1.6× 128 8.5k
Michael G. Safonov 6.4k 2.1× 546 0.5× 1.0k 1.3× 949 1.3× 1.4k 2.3× 230 8.1k
Geir E. Dullerud 3.1k 1.0× 1.3k 1.1× 693 0.9× 250 0.3× 432 0.7× 175 4.5k
Bin Zhou 5.1k 1.7× 1.9k 1.6× 1.7k 2.3× 881 1.2× 370 0.6× 320 7.0k

Countries citing papers authored by Wim Michiels

Since Specialization
Citations

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

Fields of papers citing papers by Wim Michiels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Michiels

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Michiels. A scholar is included among the top collaborators of Wim Michiels based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wim Michiels. Wim Michiels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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