M. Gevers

10.8k citations
220 papers · 7.3k indexed · 1 hit paper · h-index 43

M. Gevers

209 papers receiving 6.8k citations

Hit Papers

Iterative feedback tuning: theory and applications7581998202620072016250500750

Peers

M. Gevers
Comparison fields: 5 of 124
  • Control and Systems Engineering 6.1k
  • Statistics, Probability and Uncertainty 772
  • Statistical and Nonlinear Physics 600
  • Signal Processing 335
  • Computational Theory and Mathematics 444
Replace Håkan Hjalmarsson with:
Håkan Hjalmarsson Sweden
Paul M.J. Van den Hof Netherlands
K. Khorasani Canada
Bo Wahlberg Sweden
Wilson J. Rugh United States
Er‐Wei Bai United States
Brett Ninness Australia
Torsten Söderström Sweden
R.К. Mehra United States
S. Bittanti Italy
M. Gevers relative to Håkan Hjalmarsson Sweden Håkan Hjalmarsson's profile →
Citations per field
00.5×1.6×
Håkan Hjalmarsson · 1×
Citations per year

Countries citing papers authored by M. Gevers

Since Specialization
Citations

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

Fields of papers citing papers by M. Gevers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20223
3 20142
4 20078
5 200619
6 20039
7 200363
8
A comparison of iterative feedback tuning and classical PID tuning schemes
20024
9
Closed-loop model-free subspace-based LQG-design
199936
10 19987
11
Iterative Feedback Tuning: theory and applications in chemical process control
199713
12 199621
13 199531
14 199513
15 1995131
16
Connecting Identification and Robust Control: A New Challenge
199123
17 1988353
18 19874
19 198533
20 198062

About M. Gevers

M. Gevers is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Artificial Intelligence and Signal Processing, having authored 220 papers that have together received 7.3k indexed citations. Recurring topics across this work include Control Systems and Identification (164 papers), Fault Detection and Control Systems (100 papers), Advanced Control Systems Optimization (82 papers), Probabilistic and Robust Engineering Design (30 papers), Model Reduction and Neural Networks (26 papers), Stability and Control of Uncertain Systems (18 papers), Structural Health Monitoring Techniques (16 papers) and Neural Networks and Applications (16 papers). The work is most often cited by research in Control and Systems Engineering (6.1k citations), Statistics, Probability and Uncertainty (772 citations), Statistical and Nonlinear Physics (600 citations), Signal Processing (335 citations) and Computational Theory and Mathematics (444 citations). M. Gevers has collaborated with scholars based in Belgium, Australia and Brazil. Frequent co-authors include Håkan Hjalmarsson, Svante Gunnarsson, Georges Bastin, Brian D. O. Anderson, Graham C. Goodwin, Xavier Bombois, Roland Hildebrand, Gang Li, Lennart Ljung and Alexandre Sanfelice Bazanella. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, International Journal of Control, Systems & Control Letters and European Journal of Control.

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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