Ivan Markovsky

6.3k total citations · 4 hit papers
133 papers, 4.1k citations indexed

About

Ivan Markovsky is a scholar working on Control and Systems Engineering, Applied Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ivan Markovsky has authored 133 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Control and Systems Engineering, 62 papers in Applied Mathematics and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ivan Markovsky's work include Control Systems and Identification (69 papers), Statistical and numerical algorithms (61 papers) and Fault Detection and Control Systems (33 papers). Ivan Markovsky is often cited by papers focused on Control Systems and Identification (69 papers), Statistical and numerical algorithms (61 papers) and Fault Detection and Control Systems (33 papers). Ivan Markovsky collaborates with scholars based in Belgium, United Kingdom and Spain. Ivan Markovsky's co-authors include Sabine Van Huffel, Paolo Rapisarda, Jan C. Willems, Florian Dörfler, Konstantin Usevich, Alexander Kukush, Bart De Moor, Eric Rogers, Christopher Freeman and Jeremy Coulson and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.

In The Last Decade

Ivan Markovsky

124 papers receiving 3.8k citations

Hit Papers

Overview of total least-squares methods 2004 2026 2011 2018 2007 2004 2021 2022 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Overview of total least-squares methods
    2007 684 citations Ivan Markovsky, Sabine Van Huffel Signal Processing profile →
  2. A note on persistency of excitation
    2004 632 citations Jan C. Willems, Ivan Markovsky et al. profile →
  3. Behavioral systems theory in data-driven analysis, signal processing, and control
    2021 174 citations Ivan Markovsky et al. profile →
  4. Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations
    2022 121 citations Ivan Markovsky et al. IEEE Transactions on Automatic Control profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Markovsky Belgium 27 2.2k 963 553 503 401 133 4.1k
Torsten Söderström Sweden 30 4.2k 1.9× 479 0.5× 380 0.7× 1.1k 2.1× 1.3k 3.3× 181 6.5k
Tao Qian Macao 26 585 0.3× 1.3k 1.4× 846 1.5× 280 0.6× 107 0.3× 214 2.6k
Bo Wahlberg Sweden 31 3.4k 1.6× 118 0.1× 509 0.9× 694 1.4× 552 1.4× 229 4.8k
Irwin W. Sandberg United States 32 3.1k 1.4× 310 0.3× 603 1.1× 412 0.8× 2.0k 5.0× 222 6.8k
Dingyü Xue China 32 4.7k 2.2× 224 0.2× 529 1.0× 150 0.3× 408 1.0× 176 6.6k
Robert R. Bitmead Australia 36 2.7k 1.2× 103 0.1× 251 0.5× 1.0k 2.0× 756 1.9× 226 4.6k
Brett Ninness Australia 30 3.0k 1.4× 104 0.1× 162 0.3× 387 0.8× 708 1.8× 138 3.9k
M. Pawlak Canada 26 943 0.4× 139 0.1× 1.2k 2.1× 179 0.4× 471 1.2× 125 2.6k
Mansour Eslami United States 15 1.9k 0.9× 74 0.1× 270 0.5× 277 0.6× 1.4k 3.5× 71 4.5k
N.K. Bose United States 32 559 0.3× 196 0.2× 1.4k 2.5× 328 0.7× 556 1.4× 119 3.3k

Countries citing papers authored by Ivan Markovsky

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Markovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Markovsky

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

All Works

20 of 20 papers shown
1.
Markovsky, Ivan, et al.. (2025). Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting. IEEE Transactions on Automatic Control. 70(11). 7588–7595.
2.
Yan, Jiaqi, Ivan Markovsky, & John Lygeros. (2025). Secure Data Reconstruction: A Direct Data-Driven Approach. IEEE Transactions on Automatic Control. 70(12). 8361–8367. 1 indexed citations
3.
Usevich, Konstantin, Jonathan Gillard, Philippe Dreesen, & Ivan Markovsky. (2025). Structured Nuclear Norm Matrix Completion: Guaranteeing Exact Recovery via Block‐Column Scaling. Numerical Linear Algebra with Applications. 32(4).
4.
Markovsky, Ivan, et al.. (2024). Identification from data with periodically missing output samples. Automatica. 169. 111869–111869. 1 indexed citations
5.
Markovsky, Ivan, et al.. (2024). A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems. IEEE Control Systems Letters. 8. 1847–1852. 1 indexed citations
6.
Markovsky, Ivan, et al.. (2024). Data-Based System Representations From Irregularly Measured Data. IEEE Transactions on Automatic Control. 70(1). 143–158. 3 indexed citations
7.
Markovsky, Ivan, et al.. (2023). Finite-data nonparametric frequency response evaluation without leakage. Automatica. 159. 111351–111351. 5 indexed citations
8.
Markovsky, Ivan, et al.. (2019). Compressed Ultrasound Signal Reconstruction Using a Low-Rank and Joint-Sparse Representation Model. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 66(7). 1232–1245. 1 indexed citations
9.
Guglielmi, Nicola, et al.. (2019). Computing Approximate Common Factors of Matrix Polynomials.. arXiv (Cornell University). 1 indexed citations
10.
Markovsky, Ivan, et al.. (2019). Input parameters estimation from time-varying measurements. Measurement. 153. 107418–107418. 4 indexed citations
11.
Usevich, Konstantin & Ivan Markovsky. (2015). Adjusted least squares fitting of algebraic hypersurfaces. Linear Algebra and its Applications. 502. 243–274. 5 indexed citations
12.
Usevich, Konstantin & Ivan Markovsky. (2013). Variable projection methods for approximate (greatest) common divisor\n computations. arXiv (Cornell University). 8 indexed citations
13.
Usevich, Konstantin & Ivan Markovsky. (2013). Variable projection for affinely structured low-rank approximation in weighted 2-norms. Journal of Computational and Applied Mathematics. 272. 430–448. 25 indexed citations
14.
Markovsky, Ivan & Konstantin Usevich. (2013). Software for weighted structured low-rank approximation. Journal of Computational and Applied Mathematics. 256. 278–292. 43 indexed citations
15.
Markovsky, Ivan. (2013). Recent progress on variable projection methods for structured low-rank approximation. Signal Processing. 96. 406–419. 14 indexed citations
16.
Markovsky, Ivan, et al.. (2011). Recursive Identification of Hammerstein Structure. ePrints Soton (University of Southampton). 1 indexed citations
17.
Markovsky, Ivan & Sabine Van Huffel. (2006). On weighted structured total Least squares. Lecture notes in computer science. 3743. 695–702. 13 indexed citations
18.
Kukush, Alexander, et al.. (2006). On the conic section fitting problem. Journal of Multivariate Analysis. 98(3). 588–624. 7 indexed citations
19.
Markovsky, Ivan, Jan C. Willems, Sabine Van Huffel, & Bart De Moor. (2006). Exact and Approximate Modeling of Linear Systems: A Behavioral Approach (Mathematical Modeling and Computation) (Mathematical Modeling and Computation). Society for Industrial and Applied Mathematics eBooks. 162(9). 2769–2774. 20 indexed citations
20.
Lemmon, Michael, et al.. (1999). Supervisory hybrid systems. IEEE Control Systems. 19(4). 42–55. 73 indexed citations

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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