What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Artificial intelligence
Douglas L. Jones mainly focuses on Algorithm, Internal medicine, Signal processing, Cardiology and Acoustics.
His Algorithm study combines topics from a wide range of disciplines, such as Orthonormal basis, Speech recognition, Kernel and Time–frequency analysis.
His studies link Endocrinology with Internal medicine.
Douglas L. Jones interconnects Direction of arrival and Analog signal in the investigation of issues within Signal processing.
His Cardiology research incorporates elements of Anesthesia and Surgery.
The concepts of his Acoustics study are interwoven with issues in Wireless, Audio signal processing and Signal, Microphone.
His most cited work include:
- FROM MOTIVATION TO ACTION: FUNCTIONAL INTERFACE BETWEEN THE LIMBIC SYSTEM AND THE MOTOR SYSTEM (1980 citations)
- Chronic Rapid Atrial Pacing Structural, Functional, and Electrophysiological Characteristics of a New Model of Sustained Atrial Fibrillation (959 citations)
- PAR reduction in OFDM via active constellation extension (565 citations)
What are the main themes of his work throughout his whole career to date?
Internal medicine, Algorithm, Cardiology, Signal processing and Artificial intelligence are his primary areas of study.
His Internal medicine study combines topics in areas such as Anesthesia and Endocrinology.
His Algorithm research focuses on Time–frequency analysis and how it relates to Fourier transform.
His research links Surgery with Cardiology.
The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition.
The study incorporates disciplines such as Pulse, Shock and Ventricular fibrillation in addition to Defibrillation.
He most often published in these fields:
- Internal medicine (23.66%)
- Algorithm (18.28%)
- Cardiology (16.85%)
What were the highlights of his more recent work (between 2009-2021)?
- Algorithm (18.28%)
- Artificial intelligence (10.04%)
- Internal medicine (23.66%)
In recent papers he was focusing on the following fields of study:
Douglas L. Jones mainly investigates Algorithm, Artificial intelligence, Internal medicine, Speech recognition and Acoustics.
His Algorithm research also works with subjects such as
- Mathematical optimization which is related to area like Hidden Markov model,
- Estimator and related Sound.
The various areas that Douglas L. Jones examines in his Artificial intelligence study include Catheter, Reverberation, Computer vision and Pattern recognition.
Douglas L. Jones combines subjects such as Artificial neural network, Recurrent neural network, Detector, Time–frequency analysis and Event with his study of Pattern recognition.
His research in Internal medicine intersects with topics in Endocrinology and Cardiology.
Douglas L. Jones has researched Noise in several fields, including Beamforming and Sound pressure.
Between 2009 and 2021, his most popular works were:
- A learning-based approach to direction of arrival estimation in noisy and reverberant environments (169 citations)
- Stochastic computation (141 citations)
- Bias in the Cq value observed with hydrolysis probe based quantitative PCR can be corrected with the estimated PCR efficiency value. (131 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Artificial intelligence
The scientist’s investigation covers issues in Internal medicine, Atrial fibrillation, Speech recognition, Endocrinology and Artificial intelligence.
Internal medicine is closely attributed to Cardiology in his work.
His research integrates issues of Pharmacology, Drug, Heart disease and Connexin in his study of Atrial fibrillation.
His Speech recognition research is multidisciplinary, relying on both Channel and Beamforming.
In Endocrinology, Douglas L. Jones works on issues like Atrial tachycardia, which are connected to Stimulation.
He focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Pattern recognition and, in certain cases, Reverberation, Artificial neural network, Time–frequency analysis, Robustness and Constraint.
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