Kenneth A. Loparo

12.0k total citations · 2 hit papers
359 papers, 8.8k citations indexed

About

Kenneth A. Loparo is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Kenneth A. Loparo has authored 359 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Control and Systems Engineering, 94 papers in Electrical and Electronic Engineering and 55 papers in Cognitive Neuroscience. Recurrent topics in Kenneth A. Loparo's work include Fault Detection and Control Systems (40 papers), Microgrid Control and Optimization (39 papers) and EEG and Brain-Computer Interfaces (36 papers). Kenneth A. Loparo is often cited by papers focused on Fault Detection and Control Systems (40 papers), Microgrid Control and Optimization (39 papers) and EEG and Brain-Computer Interfaces (36 papers). Kenneth A. Loparo collaborates with scholars based in United States, China and Thailand. Kenneth A. Loparo's co-authors include Hasan Ocak, Xinsheng Lou, Xiangbo Feng, Yuguang Fang, H.J. Chizeck, Mark S. Scher, Y. Ji, Farhad Kaffashi, Fred M. Discenzo and Jiang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and IEEE Transactions on Automatic Control.

In The Last Decade

Kenneth A. Loparo

337 papers receiving 8.4k citations

Hit Papers

Bearing fault diagnosis based on wavelet transform and fu... 1992 2026 2003 2014 2003 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth A. Loparo United States 50 4.1k 2.1k 1.2k 1.1k 991 359 8.8k
Danilo P. Mandic United Kingdom 65 2.6k 0.6× 2.4k 1.1× 3.6k 3.1× 553 0.5× 3.6k 3.6× 548 17.2k
George Vachtsevanos United States 43 4.0k 1.0× 1.2k 0.5× 1.3k 1.1× 1.2k 1.0× 1.4k 1.4× 321 8.7k
Guy A. Dumont Canada 47 2.5k 0.6× 501 0.2× 1.4k 1.2× 457 0.4× 544 0.5× 469 9.3k
Moncef Gabbouj Finland 56 2.2k 0.5× 1.9k 0.9× 2.3k 2.0× 1.5k 1.3× 3.3k 3.3× 724 19.5k
Iven Mareels Australia 46 5.8k 1.4× 1.8k 0.8× 617 0.5× 442 0.4× 427 0.4× 388 9.4k
Serkan Kıranyaz Qatar 43 2.3k 0.6× 1.2k 0.6× 2.0k 1.7× 1.7k 1.5× 2.4k 2.4× 221 13.1k
Honghai Liu China 55 2.4k 0.6× 806 0.4× 1.9k 1.7× 1.2k 1.0× 1.1k 1.1× 525 10.8k
Bernard Widrow United States 44 2.9k 0.7× 3.1k 1.5× 960 0.8× 581 0.5× 4.1k 4.1× 131 15.2k
Nianyin Zeng China 43 1.1k 0.3× 980 0.5× 742 0.6× 547 0.5× 3.0k 3.1× 142 9.5k
Seán McLoone United Kingdom 33 1.3k 0.3× 1.3k 0.6× 475 0.4× 388 0.3× 710 0.7× 269 4.7k

Countries citing papers authored by Kenneth A. Loparo

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth A. Loparo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth A. Loparo

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth A. Loparo. A scholar is included among the top collaborators of Kenneth A. Loparo 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 Kenneth A. Loparo. Kenneth A. Loparo 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.
Joshi, P.N., et al.. (2025). Electrophysiological correlates of dynamic cycling in Parkinson’s disease. Clinical Neurophysiology. 174. 17–27. 1 indexed citations
2.
Loparo, Kenneth A., et al.. (2021). A Framework for Remote Hardware Lab Course Delivery: Rapidly Adjusting to 2020. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
3.
Loparo, Kenneth A., et al.. (2021). An Introductory Course on the Design of IoT Edge Computing Devices. 2021 ASEE Virtual Annual Conference Content Access Proceedings.
4.
Loparo, Kenneth A., et al.. (2020). A Highly Digital Multiantenna Ground-Penetrating Radar (GPR) System. IEEE Transactions on Instrumentation and Measurement. 69(10). 7422–7436. 42 indexed citations
5.
Sun, Yingcheng & Kenneth A. Loparo. (2019). Knowledge-guided Text Structuring in Clinical Trials.. arXiv (Cornell University). 211–219. 4 indexed citations
6.
McVoy, Molly, Michelle E. Aebi, Kenneth A. Loparo, et al.. (2019). Resting-State Quantitative Electroencephalography Demonstrates Differential Connectivity in Adolescents with Major Depressive Disorder. Journal of Child and Adolescent Psychopharmacology. 29(5). 370–377. 28 indexed citations
7.
Sun, Yingcheng & Kenneth A. Loparo. (2019). Context Aware Image Annotation in Multiple-Instance Active Learning.. 251–262. 1 indexed citations
8.
Wei, Xile, et al.. (2019). Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 339–349. 27 indexed citations
9.
Zhang, Jianjing, et al.. (2019). Interpretable Convolutional Neural Network Through Layer-wise Relevance Propagation for Machine Fault Diagnosis. IEEE Sensors Journal. 20(6). 3172–3181. 101 indexed citations
11.
Chakraverty, A., et al.. (2012). Design and implementation a specific grid-tie inverter for an agent-based microgrid. 1–6. 14 indexed citations
12.
Janjarasjitt, Suparerk & Kenneth A. Loparo. (2010). Temporal variability of the ECoG signal during epileptic seizures. International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. 332–336. 5 indexed citations
13.
Discenzo, Fred M., et al.. (2006). Pump Condition Monitoring Using Self-Powered Wireless Sensors. Sound&Vibration. 40(5). 12–15. 25 indexed citations
14.
Gupta, Pramod, et al.. (2004). Verification and Validation Methodology of Real-Time Adaptive Neural Networks for Aerospace Applications. Computational intelligence. 5 indexed citations
15.
Fang, Yuguang, Kenneth A. Loparo, & Xiangbo Feng. (1993). Sufficient conditions for the stability of interval matrices. International Journal of Control. 58(4). 969–977. 17 indexed citations
16.
Widman, Lawrence E., Kenneth A. Loparo, & Norman R. Nielsen. (1989). Artificial intelligence, simulation & modeling. John Wiley & Sons, Inc. eBooks. 556–556. 43 indexed citations
17.
Widman, Lawrence E. & Kenneth A. Loparo. (1989). Artificial intelligence, simulation, and modeling: a critical survey. John Wiley & Sons, Inc. eBooks. 1–44. 19 indexed citations
18.
Loparo, Kenneth A., et al.. (1989). A hierarchical framework for learning control. John Wiley & Sons, Inc. eBooks. 415–445. 6 indexed citations
19.
Loparo, Kenneth A. & Zvi S. Roth. (1981). Nonlinear filtering for process diagnostics. IEEE Transactions on Automatic Control. 18(18). 28. 1 indexed citations
20.
Sorooshian, Soroosh, et al.. (1980). Parameter estimation and sensitivity analysis-applications to hydrologic models. IEEE Transactions on Automatic Control. 17(17). 120. 2 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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