Deepan Muthirayan

428 total citations
21 papers, 267 citations indexed

About

Deepan Muthirayan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Deepan Muthirayan has authored 21 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Deepan Muthirayan's work include Advanced Bandit Algorithms Research (6 papers), Smart Grid Energy Management (4 papers) and Advanced Control Systems Optimization (4 papers). Deepan Muthirayan is often cited by papers focused on Advanced Bandit Algorithms Research (6 papers), Smart Grid Energy Management (4 papers) and Advanced Control Systems Optimization (4 papers). Deepan Muthirayan collaborates with scholars based in United States and India. Deepan Muthirayan's co-authors include Pramod P. Khargonekar, Mohammad Abdullah Al Faruque, Shih-Yuan Yu, Arnav Vaibhav Malawade, Dileep Kalathil, Kameshwar Poolla, Pravin Varaiya, Jianjun Yuan, Yanning Shen and Roberto Horowitz and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Deepan Muthirayan

19 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepan Muthirayan United States 8 82 66 62 37 34 21 267
Péter Földesi Hungary 9 65 0.8× 97 1.5× 45 0.7× 17 0.5× 22 0.6× 54 272
Roland E. Haas Germany 9 27 0.3× 121 1.8× 89 1.4× 47 1.3× 37 1.1× 18 281
Jinpeng Han China 5 26 0.3× 45 0.7× 107 1.7× 82 2.2× 92 2.7× 9 286
Xiaoqing Frank Liu United States 8 144 1.8× 69 1.0× 23 0.4× 34 0.9× 22 0.6× 21 337
Reinhard Bauer Germany 9 70 0.9× 28 0.4× 36 0.6× 35 0.9× 52 1.5× 19 320
Bernd Waschneck Germany 6 388 4.7× 71 1.1× 93 1.5× 29 0.8× 16 0.5× 16 514
Jilles Dibangoye France 9 20 0.2× 124 1.9× 48 0.8× 29 0.8× 54 1.6× 21 246
Lorenzo Canese Italy 6 18 0.2× 75 1.1× 47 0.8× 51 1.4× 19 0.6× 10 238
Gabriel Chukwunonso Amaizu South Korea 6 37 0.5× 95 1.4× 29 0.5× 34 0.9× 39 1.1× 10 297
Cornel Klein Germany 8 15 0.2× 58 0.9× 39 0.6× 38 1.0× 28 0.8× 24 216

Countries citing papers authored by Deepan Muthirayan

Since Specialization
Citations

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

Fields of papers citing papers by Deepan Muthirayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepan Muthirayan

This figure shows the co-authorship network connecting the top 25 collaborators of Deepan Muthirayan. A scholar is included among the top collaborators of Deepan Muthirayan 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 Deepan Muthirayan. Deepan Muthirayan 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.
Muthirayan, Deepan, Dileep Kalathil, & Pramod P. Khargonekar. (2025). Meta-Learning Online Control for Linear Dynamical Systems. IEEE Transactions on Automatic Control. 70(6). 4163–4169.
2.
Muthirayan, Deepan, et al.. (2024). Long-Term Fairness for Real-Time Decision Making: A Constrained Online Optimization Approach. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 13149–13161. 1 indexed citations
3.
Muthirayan, Deepan, et al.. (2023). Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems. 34. 5039–5046. 1 indexed citations
4.
Muthirayan, Deepan & Pramod P. Khargonekar. (2023). Online Learning for Incentive-Based Demand Response. 34. 7956–7961. 2 indexed citations
5.
Muthirayan, Deepan, Jianjun Yuan, Dileep Kalathil, & Pramod P. Khargonekar. (2022). Online Learning for Predictive Control with Provable Regret Guarantees. 2022 IEEE 61st Conference on Decision and Control (CDC). 6666–6671. 3 indexed citations
6.
Muthirayan, Deepan, Dileep Kalathil, & Pramod P. Khargonekar. (2022). Meta-Learning Online Control for Linear Dynamical Systems. 2022 IEEE 61st Conference on Decision and Control (CDC). 1435–1440. 5 indexed citations
7.
Muthirayan, Deepan, Jianjun Yuan, & Pramod P. Khargonekar. (2022). Online Convex Optimization With Long-Term Constraints for Predictable Sequences. IEEE Control Systems Letters. 7. 979–984. 4 indexed citations
8.
Muthirayan, Deepan & Pramod P. Khargonekar. (2022). Online Algorithms for Network Robustness Under Connectivity Constraints. IEEE Transactions on Network Science and Engineering. 9(4). 2266–2277. 1 indexed citations
9.
Muthirayan, Deepan & Pramod P. Khargonekar. (2022). Memory Augmented Neural Network Adaptive Controllers: Performance and Stability. IEEE Transactions on Automatic Control. 68(2). 825–838. 8 indexed citations
10.
Muthirayan, Deepan, Jianjun Yuan, & Pramod P. Khargonekar. (2022). Adaptive Gradient Online Control. 2022 American Control Conference (ACC). 2136–2141. 1 indexed citations
11.
Muthirayan, Deepan, et al.. (2021). Graph Learning for Cognitive Digital Twins in Manufacturing Systems. IEEE Transactions on Emerging Topics in Computing. 10(1). 34–45. 54 indexed citations
12.
Faruque, Mohammad Abdullah Al, Deepan Muthirayan, Shih-Yuan Yu, & Pramod P. Khargonekar. (2021). Cognitive Digital Twin for Manufacturing Systems. 440–445. 44 indexed citations
13.
Malawade, Arnav Vaibhav, et al.. (2021). Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems. IEEE Transactions on Industrial Informatics. 17(12). 7980–7990. 23 indexed citations
14.
Majidi, Majid, Deepan Muthirayan, Masood Parvania, & Pramod P. Khargonekar. (2021). Dynamic Matching in Power Systems using Model Predictive Control. 1–6.
15.
Muthirayan, Deepan, et al.. (2020). Hierarchical Temporal Memory-Based One-Pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids. IEEE Transactions on Dependable and Secure Computing. 19(3). 1770–1782. 13 indexed citations
16.
17.
Muthirayan, Deepan & Pramod P. Khargonekar. (2019). Working Memory Augmentation for Improved Learning in Neural Adaptive Control. 1. 6785–6792. 3 indexed citations
18.
Muthirayan, Deepan, Dileep Kalathil, Kameshwar Poolla, & Pravin Varaiya. (2018). Baseline Estimation and Scheduling for Demand Response. 4857–4862. 5 indexed citations
19.
Muthirayan, Deepan, Dileep Kalathil, Kameshwar Poolla, & Pravin Varaiya. (2016). Mechanism design for self-reporting baselines in Demand Response. 1446–1451. 8 indexed citations
20.
Muthirayan, Deepan & Roberto Horowitz. (2012). A Self-Tuning Algorithm for Z-Axis Micro Rate Integrating Gyroscopes. 235–235. 1 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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