C. Canudas

665 citations
10 papers · 538 indexed · h-index 9
Topics
Adaptive Control of Nonlinear Systems (4 papers)Iterative Learning Control Systems (4 papers)Sensorless Control of Electric Motors (3 papers)
Journals
IEEE Transactions on Automatic ControlInternational Journal of ControlIEEE Journal on Robotics and Automation
Partner nations
SwitzerlandCanadaBrazil

In The Last Decade

C. Canudas

10 papers receiving 490 citations

Peers

C. Canudas
Comparison fields: 5 of 29
  • Control and Systems Engineering 460
  • Mechanical Engineering 192
  • Electrical and Electronic Engineering 164
  • Computer Vision and Pattern Recognition 66
  • Biomedical Engineering 58
Replace Chang‐Huan Liu with:
Chang‐Huan Liu Taiwan
Teruo Tsuji Japan
E. Ostertag France
Ricardo Campa Mexico
Siamak Esmaeilzadeh Khadem Iran
M. Feemster United States
P.-H. Shen Taiwan
Vrunda Joshi India
Haihua Mu China
C. Canudas relative to Chang‐Huan Liu Taiwan Chang‐Huan Liu's profile →
Citations per field
00.5×1.5×1.9×
Chang‐Huan Liu · 1×
Citations per year

Countries citing papers authored by C. Canudas

Since Specialization
Citations

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

Fields of papers citing papers by C. Canudas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Canudas

This figure shows the co-authorship network connecting the top 25 collaborators of C. Canudas. A scholar is included among the top collaborators of C. Canudas 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 C. Canudas. C. Canudas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 10
2
Quasicontinuous stabilizing controllers for nonholonomic systems : Design and robustness considerations
74
3 90
4 63
5 26
6 200
7
Adaptive Friction Compensation for Robot Manipulators
2
8 16
9 49
10 8

About C. Canudas

C. Canudas is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Networks and Communications, having authored 10 papers that have together received 538 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (4 papers), Iterative Learning Control Systems (4 papers) and Sensorless Control of Electric Motors (3 papers). The work is most often cited by research in Control and Systems Engineering (460 citations), Mechanical Engineering (192 citations) and Computer Vision and Pattern Recognition (66 citations). C. Canudas has collaborated with scholars based in Switzerland, Canada and Brazil. Frequent co-authors include Kalle Åström, Seleme Isaac Seleme, Roméo Ortega, de Mh Martin Wit, Mukul Agarwal, M. M’Saad, Ambarish Goswami and Karl Johan Åström. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Control and IEEE Journal on Robotics and Automation.

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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2026