Michael Basin

8.6k citations
334 papers · 6.9k indexed · 3 hit papers · h-index 44

Michael Basin

296 papers receiving 6.8k citations

Hit Papers

Two-Dimensional Dissipative Control and Filtering for Roe...3192013202620172021100200300

Peers

Michael Basin
Comparison fields: 5 of 114
  • Control and Systems Engineering 5.8k
  • Computer Networks and Communications 2.2k
  • Computational Theory and Mathematics 708
  • Artificial Intelligence 1.1k
  • Statistical and Nonlinear Physics 403
Replace Xiaojie Su with:
Xiaojie Su China
Jan Lunze Germany
PooGyeon Park South Korea
Cheng‐Chew Lim Australia
Wook Hyun Кwon South Korea
Anders Rantzer Sweden
Xiao‐Heng Chang China
Geir E. Dullerud United States
Shuping He China
José C. Geromel Brazil
Michael Basin relative to Xiaojie Su China Xiaojie Su's profile →
Citations per field
00.5×1.5×
Xiaojie Su · 1×
Citations per year

Countries citing papers authored by Michael Basin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Basin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20251
5 20242
6 20240
7 20241
8 20242
9 20243
10 202311
11 20235
12 202319
13 202232
14 202260
15 202063
16 201920
17 201828
18 20170
19 20142
20 20144

About Michael Basin

Michael Basin is a scholar working on Control and Systems Engineering, Computational Mathematics, Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, having authored 334 papers that have together received 6.9k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (158 papers), Adaptive Control of Nonlinear Systems (122 papers), Fault Detection and Control Systems (101 papers), Target Tracking and Data Fusion in Sensor Networks (81 papers), Advanced Control Systems Optimization (67 papers), Control Systems and Identification (56 papers), Iterative Learning Control Systems (25 papers) and Stability and Controllability of Differential Equations (23 papers). The work is most often cited by research in Control and Systems Engineering (5.8k citations), Computer Networks and Communications (2.2k citations), Computational Theory and Mathematics (708 citations), Artificial Intelligence (1.1k citations) and Statistical and Nonlinear Physics (403 citations). Michael Basin has collaborated with scholars based in Mexico, China and Russia. Frequent co-authors include Peng Shi, Yuri Shtessel, Pablo Rodríguez-Ramírez, Dario Calderon‐Alvarez, Choon Ki Ahn, Jesús Rodríguez-González, Ligang Wu, Mikhail Skliar, Chandrasekhara Bharath Panathula and Leonid Fridman. Their work appears in journals such as Journal of the Franklin Institute, International Journal of Systems Science, IEEE Transactions on Automatic Control, IET Control Theory and Applications and IEEE Transactions on Industrial Electronics.

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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