Marina Tharayil

3.0k total citations · 1 hit paper
12 papers, 2.3k citations indexed

About

Marina Tharayil is a scholar working on Control and Systems Engineering, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Marina Tharayil has authored 12 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 5 papers in Mechanical Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Marina Tharayil's work include Iterative Learning Control Systems (6 papers), Advanced machining processes and optimization (4 papers) and Aeroelasticity and Vibration Control (3 papers). Marina Tharayil is often cited by papers focused on Iterative Learning Control Systems (6 papers), Advanced machining processes and optimization (4 papers) and Aeroelasticity and Vibration Control (3 papers). Marina Tharayil collaborates with scholars based in United States and France. Marina Tharayil's co-authors include Andrew G. Alleyne, Douglas A. Bristow, Ilya Kolmanovsky and Oleg Gusikhin and has published in prestigious journals such as IEEE/ASME Transactions on Mechatronics, IEEE Control Systems and Journal of Dynamic Systems Measurement and Control.

In The Last Decade

Marina Tharayil

12 papers receiving 2.3k citations

Hit Papers

A survey of iterative lea... 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Tharayil United States 6 2.2k 1.1k 543 122 93 12 2.3k
Douglas A. Bristow United States 20 2.7k 1.3× 2.0k 1.7× 811 1.5× 180 1.5× 122 1.3× 110 3.6k
Maxime Gautier France 29 2.6k 1.2× 1.2k 1.1× 725 1.3× 57 0.5× 60 0.6× 130 3.0k
Emre Sarıyıldız Australia 23 1.5k 0.7× 827 0.7× 758 1.4× 176 1.4× 57 0.6× 92 2.1k
Brian Armstrong-Hélouvry United States 9 2.2k 1.0× 1.9k 1.6× 264 0.5× 128 1.0× 67 0.7× 13 2.9k
Mikael Norrlöf Sweden 22 1.8k 0.8× 1.1k 1.0× 407 0.7× 73 0.6× 43 0.5× 94 2.0k
Maolin Jin South Korea 28 2.8k 1.3× 1.3k 1.1× 604 1.1× 194 1.6× 199 2.1× 85 3.4k
Jinoh Lee Italy 24 1.7k 0.8× 631 0.6× 852 1.6× 87 0.7× 96 1.0× 90 2.3k
P. R. Ouyang Canada 23 1.2k 0.5× 638 0.6× 454 0.8× 323 2.6× 51 0.5× 76 1.7k
Liangyong Wang China 16 733 0.3× 293 0.3× 382 0.7× 232 1.9× 98 1.1× 49 1.8k

Countries citing papers authored by Marina Tharayil

Since Specialization
Citations

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

Fields of papers citing papers by Marina Tharayil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Tharayil

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

All Works

12 of 12 papers shown
3.
Bristow, Douglas A., Andrew G. Alleyne, & Marina Tharayil. (2008). Optimizing Learning Convergence Speed and Converged Error for Precision Motion Control. Journal of Dynamic Systems Measurement and Control. 130(5). 9 indexed citations
4.
Bristow, Douglas A., Andrew G. Alleyne, & Marina Tharayil. (2007). A Time-Varying Q-Filter Design for Iterative Learning Control. Proceedings of the ... American Control Conference. 5503–5508. 3 indexed citations
5.
Bristow, Douglas A., Marina Tharayil, & Andrew G. Alleyne. (2006). A survey of iterative learning control. IEEE Control Systems. 26(3). 96–114. 2254 indexed citations breakdown →
6.
Tharayil, Marina. (2005). Switched Q -Filters in Repetitive Control and Iterative Learning Control. 3 indexed citations
7.
Tharayil, Marina & Andrew G. Alleyne. (2004). A time-varying iterative learning control scheme. 3782–3787 vol.4. 10 indexed citations
8.
Tharayil, Marina & Andrew G. Alleyne. (2004). Modeling and Control for Smart Mesoflap Aeroelastic Control. IEEE/ASME Transactions on Mechatronics. 9(1). 30–39. 21 indexed citations
9.
Tharayil, Marina & Andrew G. Alleyne. (2004). Design and Convergence of a Time-Varying Iterative Learning Control Law. 91–97. 5 indexed citations
10.
Tharayil, Marina & Andrew G. Alleyne. (2003). A generalized PID error governing scheme for SMART/SBLI control. 1. 346–351. 20 indexed citations
11.
Tharayil, Marina & Andrew G. Alleyne. (2002). ACTIVE SUPERSONIC FLOW CONTROL USING HYSTERESIS COMPENSATION AND ERROR GOVERNOR. IFAC Proceedings Volumes. 35(1). 205–210. 5 indexed citations
12.
Alleyne, Andrew G. & Marina Tharayil. (2001). Semi active internal model control for passive disturbance rejection. 117. 1438–1443 vol.2. 5 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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