Shubhendu Bhasin

2.7k total citations · 1 hit paper
96 papers, 2.0k citations indexed

About

Shubhendu Bhasin is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Shubhendu Bhasin has authored 96 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Control and Systems Engineering, 34 papers in Computational Theory and Mathematics and 14 papers in Biomedical Engineering. Recurrent topics in Shubhendu Bhasin's work include Adaptive Control of Nonlinear Systems (64 papers), Adaptive Dynamic Programming Control (34 papers) and Advanced Control Systems Optimization (24 papers). Shubhendu Bhasin is often cited by papers focused on Adaptive Control of Nonlinear Systems (64 papers), Adaptive Dynamic Programming Control (34 papers) and Advanced Control Systems Optimization (24 papers). Shubhendu Bhasin collaborates with scholars based in India, United States and Vietnam. Shubhendu Bhasin's co-authors include Warren E. Dixon, Rushikesh Kamalapurkar, Sayan Basu Roy, M. Johnson, Indra Narayan Kar, Frank L. Lewis, Kyriakos G. Vamvoudakis, Huyen T. Dinh, Nitin Sharma and S. K. Jha and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Shubhendu Bhasin

88 papers receiving 1.9k citations

Hit Papers

A novel actor–critic–iden... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shubhendu Bhasin India 22 1.4k 961 493 301 296 96 2.0k
Rushikesh Kamalapurkar United States 20 1.3k 0.9× 1.2k 1.3× 711 1.4× 306 1.0× 286 1.0× 72 2.0k
Travis Dierks United States 19 1.5k 1.0× 1.0k 1.1× 447 0.9× 241 0.8× 256 0.9× 40 2.0k
Ali Karimpour Iran 15 587 0.4× 562 0.6× 320 0.6× 179 0.6× 294 1.0× 56 1.1k
Jin Bae Park South Korea 23 1.2k 0.8× 274 0.3× 324 0.7× 114 0.4× 437 1.5× 124 1.7k
Yiting Dong United States 11 1.7k 1.2× 477 0.5× 237 0.5× 379 1.3× 142 0.5× 21 2.1k
Aydın Yeşildirek United States 11 1.7k 1.2× 306 0.3× 632 1.3× 110 0.4× 93 0.3× 36 1.9k
Seong-Ik Han South Korea 20 1.2k 0.9× 235 0.2× 203 0.4× 137 0.5× 153 0.5× 75 1.5k
Linghuan Kong China 23 1.2k 0.8× 349 0.4× 166 0.3× 169 0.6× 90 0.3× 55 1.5k
Eng Hock Tay Singapore 6 2.1k 1.5× 630 0.7× 138 0.3× 103 0.3× 119 0.4× 11 2.3k
Pengfei Yan China 16 364 0.3× 433 0.5× 254 0.5× 135 0.4× 200 0.7× 50 1.1k

Countries citing papers authored by Shubhendu Bhasin

Since Specialization
Citations

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

Fields of papers citing papers by Shubhendu Bhasin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhendu Bhasin

This figure shows the co-authorship network connecting the top 25 collaborators of Shubhendu Bhasin. A scholar is included among the top collaborators of Shubhendu Bhasin 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 Shubhendu Bhasin. Shubhendu Bhasin 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.
Bhasin, Shubhendu, et al.. (2025). Lagrangian-based online safe reinforcement learning for state-constrained systems. Automatica. 179. 112458–112458.
2.
Dani, Ashwin P. & Shubhendu Bhasin. (2025). Adaptive Actor-Critic Based Optimal Regulation for Drift-Free Nonlinear Systems. SHILAP Revista de lepidopterología. 4. 117–129.
3.
Ghosh, Soumya, et al.. (2025). Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges. Frontiers in Human Neuroscience. 19. 1532783–1532783.
4.
Bhasin, Shubhendu, et al.. (2023). BiCurNet: Premovement EEG-Based Neural Decoder for Biceps Curl Trajectory Estimation. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 4 indexed citations
5.
Patil, Omkar Sudhir, et al.. (2022). Adaptive Control of Time-Varying Parameter Systems With Asymptotic Tracking. IEEE Transactions on Automatic Control. 67(9). 4809–4815. 24 indexed citations
6.
Nath, Anirudh, et al.. (2022). Control-Oriented Physics-Based Modeling and Observer Design for State-of-Charge Estimation of Lithium-Ion Cells for High Current Applications. IEEE Transactions on Control Systems Technology. 30(6). 2466–2479. 11 indexed citations
7.
Panigrahi, Bijaya Ketan, et al.. (2022). Distributed Adaptive Control Framework for Enhanced Voltage and Frequency Regulation in Inverter Interfaced Autonomous Distribution Network. IEEE Systems Journal. 17(2). 2892–2903. 5 indexed citations
8.
Dhar, Abhishek & Shubhendu Bhasin. (2020). Multi-Model Indirect Adaptive MPC. 50. 1460–1465. 2 indexed citations
9.
Patil, Omkar Sudhir & Shubhendu Bhasin. (2020). Lyapunov Based Hierarchical Trajectory Control of an Autonomous Ground Vehicle Subjected to Slip. IFAC-PapersOnLine. 53(2). 6340–6345.
10.
11.
Bhasin, Shubhendu, et al.. (2019). Tracking control of uncertain nonlinear systems with unknown constant input delay. IEEE/CAA Journal of Automatica Sinica. 7(2). 420–425. 11 indexed citations
12.
Sharma, Richa, Shubhendu Bhasin, Prerna Gaur, & Deepak Joshi. (2019). A switching-based collaborative fractional order fuzzy logic controllers for robotic manipulators. Applied Mathematical Modelling. 73. 228–246. 45 indexed citations
13.
Roy, Sayan Basu, et al.. (2019). A Switched Adaptive Observer Design Without Persistence Of Excitation. 50. 318–323. 5 indexed citations
14.
Jha, S. K., Sayan Basu Roy, & Shubhendu Bhasin. (2018). Direct Adaptive Optimal Control for Uncertain Continuous-Time LTI Systems Without Persistence of Excitation. IEEE Transactions on Circuits & Systems II Express Briefs. 65(12). 1993–1997. 26 indexed citations
15.
Bhasin, Shubhendu, et al.. (2018). Simultaneous Compensation of Unknown Time-Varying State and Input Delays for Uncertain Nonlinear Systems. 47. 7237–7242. 1 indexed citations
16.
Roy, Sayan Basu & Shubhendu Bhasin. (2018). Switched MRAC with improved performance using Semi-Initial Excitation. 74–79. 6 indexed citations
17.
Jha, S. K., Sayan Basu Roy, & Shubhendu Bhasin. (2017). Data-Driven Adaptive LQR for Completely Unknown LTI Systems. IFAC-PapersOnLine. 50(1). 4156–4161. 11 indexed citations
18.
Bhasin, Shubhendu, et al.. (2015). Adaptive tracking control of uncertain nonlinear systems with unknown input delay. 1686–1691. 7 indexed citations
19.
Dinh, Huyen T., Rushikesh Kamalapurkar, Shubhendu Bhasin, & Warren E. Dixon. (2014). Dynamic neural network-based robust observers for uncertain nonlinear systems. Neural Networks. 60. 44–52. 37 indexed citations
20.
Chung, Hyun, et al.. (2011). Robust composite adaptive fuzzy identification and control for a class of MIMO nonlinear systems. 42. 4947–4952. 4 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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