The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Stephen A. Billings sits on this spectrum.
This scientist: 479 publications — 82nd percentile
82% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Stephen A. Billings sits on this spectrum.
This scientist: 83 D-Index — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Nonlinear system, Algorithm, System identification, Control theory and Identification are his primary areas of study. His Nonlinear system research includes themes of Nonlinear system identification, Estimation theory, Frequency response, Applied mathematics and Differential equation. His research integrates issues of Artificial neural network, Radial basis function network, Radial basis function and Mathematical optimization in his study of Algorithm.
His study looks at the intersection of System identification and topics like Cluster analysis with Computation, Recursive partitioning and Hybrid algorithm. Stephen A. Billings has researched Control theory in several fields, including Control engineering and Structure. His Identification study incorporates themes from Pseudorandom binary sequence, Piecewise linear model, Selection, Structure and Discrete system.
Stephen A. Billings focuses on Nonlinear system, Control theory, Algorithm, System identification and Identification. His Nonlinear system study combines topics from a wide range of disciplines, such as Frequency response, Frequency domain, Mathematical analysis and Applied mathematics. The Control theory study combines topics in areas such as Function and Structure.
His work carried out in the field of Algorithm brings together such families of science as Artificial neural network, Machine learning, Wavelet and Mathematical optimization. His study looks at the relationship between System identification and fields such as Artificial intelligence, as well as how they intersect with chemical problems. The concepts of his Identification study are interwoven with issues in Selection and Noise.
His main research concerns Nonlinear system, Control theory, System identification, Frequency domain and Frequency response. His Nonlinear system research incorporates themes from Structural engineering, Mathematical analysis, Applied mathematics and Vibration isolation. In the subject of general Control theory, his work in Nonlinear control is often linked to Harmonics, thereby combining diverse domains of study.
His System identification research integrates issues from Estimation theory, Algorithm, Mathematical optimization, Artificial intelligence and Autoregressive model. Stephen A. Billings interconnects Linear system and Identification in the investigation of issues within Algorithm. His research in Frequency response intersects with topics in Vibration, Electronic engineering and Parametric statistics.
His primary areas of investigation include Nonlinear system, Control theory, Algorithm, System identification and Frequency response. A large part of his Nonlinear system studies is devoted to Volterra series. His work on Nonlinear control as part of general Control theory research is frequently linked to Harmonics, bridging the gap between disciplines.
His studies deal with areas such as Machine learning, Linear system and Mathematical optimization as well as Algorithm. As a part of the same scientific family, Stephen A. Billings mostly works in the field of Mathematical optimization, focusing on Wavelet transform and, on occasion, Artificial neural network, Network model and Particle swarm optimization. The various areas that Stephen A. Billings examines in his System identification study include Time–frequency analysis, Basis function, Control engineering, Autoregressive model and Artificial intelligence.
S. Chen;S. A. Billings;W. Luo
I J Leontaritis;S A Billings
S. Chen;S. A. Billings;Peter Grant
S. Chen;S. A. Billings
S. Chen;S. A. Billings
Stephen A Billings
S.A. Billings
S. A. Billings;S. Chen;M. J. Korenberg
S. A. Billings;W. S. F. Voon
S. A. Billings;S. Y. Fakhouri
M. Korenberg;S. A. Billings;Y. P. Liu;P. J. McILROY
S.A. Billings;Hua-Liang Wei
S. Chen;S. A. Billings;Peter Grant
S. Chen;S. A. Billings;C. F. N. Cowan;Peter Grant
S. A. Billings;H. B. Jamaluddin;S. Chen
O.M.E. El-Ghezawi;A.S.I. Zinober;S.A. Billings
S. A. Billings;M. J. Korenberg;S. Chen
S.A. Billings;S.Y. Fakhouri
Hua-Liang Wei;S.A. Billings
S.A. Billings;K.M. Tsang
S. A. Billings;W. S. F. Voon
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