A. Pogromsky

4.1k total citations
131 papers, 2.9k citations indexed

About

A. Pogromsky is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, A. Pogromsky has authored 131 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Control and Systems Engineering, 48 papers in Statistical and Nonlinear Physics and 46 papers in Computer Networks and Communications. Recurrent topics in A. Pogromsky's work include Nonlinear Dynamics and Pattern Formation (40 papers), Chaos control and synchronization (35 papers) and Control and Stability of Dynamical Systems (32 papers). A. Pogromsky is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (40 papers), Chaos control and synchronization (35 papers) and Control and Stability of Dynamical Systems (32 papers). A. Pogromsky collaborates with scholars based in Netherlands, Russia and Norway. A. Pogromsky's co-authors include Henk Nijmeijer, Аlexander L. Fradkov, Alexey S. Matveev, Nathan van de Wouw, Alexey Pavlov, I. I. Blekhman, Г. А. Леонов, Witold Respondek, Anton Shiriaev and Torkel Glad and has published in prestigious journals such as Nature Materials, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

A. Pogromsky

127 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Pogromsky Netherlands 25 1.4k 1.2k 1.1k 231 191 131 2.9k
ءMohammad Haeri Iran 35 1.3k 1.0× 2.3k 1.9× 1.7k 1.6× 109 0.5× 275 1.4× 241 5.0k
Binoy Krishna Roy India 31 909 0.7× 950 0.8× 1.5k 1.3× 86 0.4× 181 0.9× 177 2.7k
Koen Engelborghs Belgium 22 673 0.5× 614 0.5× 436 0.4× 103 0.4× 122 0.6× 35 2.0k
Jin Zhou China 25 1.7k 1.2× 478 0.4× 769 0.7× 147 0.6× 63 0.3× 136 2.2k
Boris Andrievsky Russia 23 757 0.6× 1.2k 1.0× 573 0.5× 53 0.2× 126 0.7× 186 1.9k
Wim Michiels Belgium 33 1.2k 0.9× 3.0k 2.5× 609 0.6× 51 0.2× 317 1.7× 202 4.5k
F. Garofalo Italy 23 1.0k 0.7× 798 0.7× 677 0.6× 154 0.7× 164 0.9× 83 2.1k
Jianhua Yang China 26 610 0.4× 614 0.5× 1.2k 1.1× 139 0.6× 410 2.1× 159 2.3k
Thomas Meurer Germany 23 307 0.2× 1.4k 1.1× 242 0.2× 48 0.2× 260 1.4× 180 1.9k

Countries citing papers authored by A. Pogromsky

Since Specialization
Citations

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

Fields of papers citing papers by A. Pogromsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Pogromsky

This figure shows the co-authorship network connecting the top 25 collaborators of A. Pogromsky. A scholar is included among the top collaborators of A. Pogromsky 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 A. Pogromsky. A. Pogromsky 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.
Scarciotti, Giordano, et al.. (2024). Optimal Model Reduction by Time-Domain Moment Matching for Lur'e-Type Models. IEEE Transactions on Automatic Control. 69(12). 8820–8827. 3 indexed citations
2.
Efimov, Denis, et al.. (2023). Remote State Estimation of Steered Systems With Limited Communications: An Event-Triggered Approach. IEEE Transactions on Automatic Control. 69(7). 4199–4214. 4 indexed citations
3.
Tóth, Roland, et al.. (2023). Kernel-Based Learning of Stable Nonlinear State-Space Models. TU/e Research Portal. 2897–2902. 2 indexed citations
4.
Pogromsky, A., et al.. (2022). Control-Oriented Models for Hyperelastic Soft Robots Through Differential Geometry of Curves. Soft Robotics. 10(1). 129–148. 15 indexed citations
5.
Vantomme, Ghislaine, Anne Hélène Gelebart, E. W. Meijer, et al.. (2021). Coupled liquid crystalline oscillators in Huygens’ synchrony. Nature Materials. 20(12). 1702–1706. 99 indexed citations
6.
Efimov, Denis, et al.. (2021). Observing a Unicycle Robot with Data Rate Constraints: a Case Study. 2021 60th IEEE Conference on Decision and Control (CDC). 2 indexed citations
7.
Pogromsky, A., et al.. (2020). A Computational Design Framework for Pressure-driven Soft Robots through Nonlinear Topology Optimization. TU/e Research Portal. 633–638. 26 indexed citations
8.
Matveev, Alexey S., et al.. (2019). Comprehending Complexity: Data-Rate Constraints in Large-Scale Networks. IEEE Transactions on Automatic Control. 64(10). 4252–4259. 8 indexed citations
9.
Pogromsky, A., et al.. (2019). Data-Rate Constrained Observers of Nonlinear Systems. Entropy. 21(3). 282–282. 10 indexed citations
10.
Matveev, Alexey S. & A. Pogromsky. (2017). Two Lyapunov methods in nonlinear state estimation via finite capacity communication channels. IFAC-PapersOnLine. 50(1). 4132–4137. 4 indexed citations
11.
Pogromsky, A., et al.. (2017). A small-gain-theorem-like approach to nonlinear observability via finite capacity channels. IFAC-PapersOnLine. 50(1). 15397–15402. 1 indexed citations
12.
Леонов, Г. А., A. Pogromsky, Konstantin E. Starkov, et al.. (2013). Nonlinear problems in control of manufacturing systems. IFAC Proceedings Volumes. 46(9). 33–42. 3 indexed citations
13.
Pogromsky, A., et al.. (2012). Performance analysis of re-entrant manufacturing networks under surplus-based production control. International Journal of Production Research. 51(5). 1563–1586. 2 indexed citations
14.
Andrievsky, Boris, A. Pogromsky, & Jacobus E. Rooda. (2011). Aircraft flight control with convergence-based anti-windup strategy. 10 indexed citations
15.
Pogromsky, A., et al.. (2011). Performance Analysis Of A Flexible Manufacturing Line Operated Under Surplus-Based Production Control. TU/e Research Portal. 5(11). 2252–2258.
16.
Udding, Jan Tijmen, et al.. (2010). Modeling and Control of the AGV System in an Automated Container Terminal. 3 indexed citations
17.
Pogromsky, A., et al.. (2009). Scheduling with sequence dependent setup times in application to Magnetic Resonance Imaging scans processing. TU/e Research Portal. 867–872. 7 indexed citations
18.
Huijberts, H.J.C., Henk Nijmeijer, & A. Pogromsky. (1999). Discrete-time observers and synchronization. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9902(5). 427–443. 7 indexed citations
19.
Pogromsky, A.. (1999). Controlled synchronization of dynamical systems based on passivity technique. IFAC Proceedings Volumes. 32(2). 2041–2046. 1 indexed citations
20.
Pogromsky, A.. (1995). Identification Based Adaptive Control of Chaotic Continuous-Time Systems. IFAC Proceedings Volumes. 28(8). 579–584. 3 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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