Avimanyu Sahoo

1.5k total citations · 1 hit paper
46 papers, 1.1k citations indexed

About

Avimanyu Sahoo is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Avimanyu Sahoo has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 21 papers in Computational Theory and Mathematics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Avimanyu Sahoo's work include Adaptive Dynamic Programming Control (19 papers), Adaptive Control of Nonlinear Systems (17 papers) and Stability and Control of Uncertain Systems (17 papers). Avimanyu Sahoo is often cited by papers focused on Adaptive Dynamic Programming Control (19 papers), Adaptive Control of Nonlinear Systems (17 papers) and Stability and Control of Uncertain Systems (17 papers). Avimanyu Sahoo collaborates with scholars based in United States, India and China. Avimanyu Sahoo's co-authors include S. Jagannathan, Hao Xu, Hao Xu, Vignesh Narayanan, Li Li, Liang Chang, Gary G. Yen, Koshy George, Tianlong Gu and S. Jagannathan and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Avimanyu Sahoo

42 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems

2015 240 citations Avimanyu Sahoo, Hao Xu et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Countries citing papers authored by Avimanyu Sahoo

Since Specialization

Citations

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

Fields of papers citing papers by Avimanyu Sahoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avimanyu Sahoo

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals 2025 ·IEEE Communications Letters ·(unknown), (unknown), (unknown), (unknown), Huaxia Wang, Nikhil Muralidhar, Avimanyu Sahoo, Yudong Yao	2
2	Public Healthcare Informatics for COVID-19 from Social Media Data 2024 ·PubMed ·(unknown), Avimanyu Sahoo, (unknown), (unknown)	0
3	Aperiodic Sensing and Data-Driven System Identification of Nonlinear Systems Using Chebyshev Pseudospectral Approach 2024 ·(unknown), Avimanyu Sahoo, Vignesh Narayanan	0
4	Optimal Event-Triggered Control Using Adaptive Dynamic Programming 2024 ·S. Jagannathan, Vignesh Narayanan, Avimanyu Sahoo	1
5	A survey on lithium-ion battery internal and external degradation modeling and state of health estimation 2022 ·Journal of Energy Storage ·(unknown), Avimanyu Sahoo, (unknown)	81
6	A Dynamic SOH-Coupled Lithium-Ion Cell Model for State and Parameter Estimation 2022 ·IEEE Transactions on Energy Conversion ·(unknown), Avimanyu Sahoo	53
7	A Novel Coupled Electro-thermal-aging Model for Simultaneous SOC, SOH, and Parameter Estimation of Lithium-ion Batteries 2022 ·2022 American Control Conference (ACC) ·(unknown), Avimanyu Sahoo, Samir Ahmed	7
8	Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players 2020 ·Neural Networks ·Avimanyu Sahoo, Vignesh Narayanan	9
9	WIP: Roll-the-Roller 3-D Printing Design Contest: The Experience-based Summer Bridge Program to Improve the Success of Incoming Engineering Freshmen Students 2020 ·2020 ASEE Virtual Annual Conference Content Access Proceedings ·Hitesh D. Vora, (unknown), Ilchung Park, (unknown), Avimanyu Sahoo, (unknown)	0
10	A Novel Evolutionary Algorithm with Pareto Front Adaption for Many-objective Optimization 2020 ·Li Li, Avimanyu Sahoo, Liang Chang	6
11	Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach 2019 ·Neural Networks ·Avimanyu Sahoo, Vignesh Narayanan	10
12	Simultaneous State and Parameter Estimation of Lithium-ion Battery: An Observer Based Approach 2019 ·(unknown), Avimanyu Sahoo	5
13	An optimal hybrid learning approach for attack detection in linear networked control systems 2019 ·IEEE/CAA Journal of Automatica Sinica ·Haifeng Niu, Avimanyu Sahoo, (unknown), S. Jagannathan	5
14	Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Vignesh Narayanan, Avimanyu Sahoo, S. Jagannathan, Koshy George	60
15	A Min–Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems 2018 ·IEEE Transactions on Industrial Electronics ·Avimanyu Sahoo, Vignesh Narayanan, S. Jagannathan	20
16	Optimal sampling and regulation of uncertain interconnected linear continuous time systems 2017 ·Avimanyu Sahoo, Vignesh Narayanan, S. Jagannathan	7
17	Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming 2016 ·IEEE Transactions on Cybernetics ·Avimanyu Sahoo, S. Jagannathan	42
18	Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems 2015 ·IEEE Transactions on Neural Networks and Learning Systems ·Avimanyu Sahoo, Hao Xu, S. Jagannathan	111
19	Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems breakdown → 2015 ·IEEE Transactions on Neural Networks and Learning Systems ·Avimanyu Sahoo, Hao Xu, S. Jagannathan	240
20	Stochastic adaptive event‐triggered control and network scheduling protocol co‐design for distributed networked systems 2014 ·IET Control Theory and Applications ·Hao Xu, Avimanyu Sahoo, S. Jagannathan	16

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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