The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Willis J. Tompkins sits on this spectrum.
This scientist: 157 publications — 30th percentile
30% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Willis J. Tompkins sits on this spectrum.
This scientist: 51 D-Index — 62nd percentile
62% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
His primary areas of investigation include Signal processing, QRS complex, Artificial intelligence, Filter and Signal. The various areas that Willis J. Tompkins examines in his Signal processing study include Artificial neural network, Digital signal processing, Adaptive filter, Data reduction and Bandwidth. His research integrates issues of Algorithm, Electronic engineering and Noise in his study of QRS complex.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Short-time Fourier transform, Ventricular fibrillation, Ambulatory ECG, Beat and Pattern recognition. His Filter research is multidisciplinary, incorporating perspectives in Digital filter and Band-pass filter. His Digital filter research integrates issues from Electrocardiography, Beat detection and Sensitivity.
Willis J. Tompkins mainly investigates Artificial intelligence, Pattern recognition, Acoustics, Electronic engineering and Signal processing. His research investigates the connection between Artificial intelligence and topics such as Beat that intersect with issues in Data compression. As a member of one scientific family, Willis J. Tompkins mostly works in the field of Pattern recognition, focusing on Speech recognition and, on occasion, Filter bank, Electrocardiography, Signal and Time–frequency analysis.
His Electronic engineering study incorporates themes from Electrical impedance tomography, QRS complex and Iterative reconstruction. Willis J. Tompkins interconnects Signal-to-noise ratio, Algorithm, Noise and Sensitivity in the investigation of issues within QRS complex. His studies examine the connections between Signal processing and genetics, as well as such issues in Filter, with regards to Band-pass filter.
His scientific interests lie mostly in Biometrics, Artificial intelligence, Medical education, Curriculum and Pattern recognition. In his research on the topic of Biometrics, Identity, Fingerprint, Fingerprint recognition, Artificial neural network and Body mass index is strongly related with Lead. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Electrocardiography, Additive white Gaussian noise, Spline and Ventricular tachycardia.
Willis J. Tompkins has included themes like Spline interpolation, Interpolation, Data point and Morphing, Computer vision in his Electrocardiography study. His study looks at the intersection of Curriculum and topics like Biomedical education with Biomedical engineering, Informatics engineering and University level. His studies deal with areas such as Speech recognition, Peak detection and Range as well as Pattern recognition.
His primary areas of study are Biometrics, Artificial intelligence, Pattern recognition, Template matching and Speech recognition. His research integrates issues of Additive white Gaussian noise, Peak detection and Range in his study of Artificial intelligence. His work carried out in the field of Speech recognition brings together such families of science as Liveness and Identification system, Identification.
His Fingerprint study frequently intersects with other fields, such as Signal processing. Willis J. Tompkins works mostly in the field of Signal processing, limiting it down to concerns involving Noise figure and, occasionally, Noise, Filter and Hilbert–Huang transform. His Filter study combines topics from a wide range of disciplines, such as Noise temperature and Noise floor.
Jiapu Pan;Willis J. Tompkins
Patrick S. Hamilton;Willis J. Tompkins
K.A. Kaczmarek;J.G. Webster;P. Bach-y-Rita;W.J. Tompkins
V.X. Afonso;W.J. Tompkins;T.Q. Nguyen;Shen Luo
Thomas J. Yorkey;John G. Webster;Willis J. Tompkins
Willis J. Tompkins
Yu Hen Hu;S. Palreddy;W.J. Tompkins
Q. Xue;Y.H. Hu;W.J. Tompkins
Nitish V. Thakor;John G. Webster;Willis J. Tompkins
T.W. Shen;W.J. Tompkins;Y.H. Hu
John P. Abenstein;Willis J. Tompkins
Y H Hu;W J Tompkins;J L Urrusti;V X Afonso
M. L. Ahlstrom;W. J. Tompkins
V.X. Afonso;W.J. Tompkins
Willis J. Tompkins
Willis J. Tompkins;John G. Webster
N. V. Thakor;J. G. Webster;W. J. Tompkins
Mark L. Ahlstrom;Willis J. Tompkins
Minghai Qu;Yujian Zhang;John G. Webster;Willis J. Tompkins
V.X. Afonso;W.J. Tompkins;T.Q. Nguyen;K. Michler
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Indian Institute of Information Technology Design and Manufacturing Jabalpur
Publications: 27
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