Gregory T. A. Kovacs

What is he best known for?

The fields of study he is best known for:

• Electrical engineering
• Internal medicine
• Artificial intelligence

Gregory T. A. Kovacs mostly deals with Analytical chemistry, Silicon, Electronic engineering, Optoelectronics and Chip. Gregory T. A. Kovacs interconnects Chromatography, Elution, Composite material and Sample in the investigation of issues within Analytical chemistry. His Silicon research includes themes of Etching, Plasma etching and Surface micromachining, Bulk micromachining.

His research investigates the connection between Surface micromachining and topics such as Transducer that intersect with problems in Microfluidics. His work carried out in the field of Electronic engineering brings together such families of science as Acoustics, Image resolution and Tactile imaging. Gregory T. A. Kovacs combines subjects such as Extracellular, Band-pass filter and Capacitor with his study of Optoelectronics.

His most cited work include:

• Micromachined Transducers Sourcebook (904 citations)
• Bulk micromachining of silicon (620 citations)
• Range correlation and I/Q performance benefits in single-chip silicon Doppler radars for noncontact cardiopulmonary monitoring (508 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Electronic engineering, Biomedical engineering, Optoelectronics, Analytical chemistry and Electrical engineering. His research in Electronic engineering intersects with topics in Acoustics, Signal processing and Integrated circuit. Gregory T. A. Kovacs has included themes like Microelectrode, Electrocardiography, Ballistocardiography, Electrical impedance and Signal in his Biomedical engineering study.

In the subject of general Optoelectronics, his work in Silicon is often linked to Thermal resistance, thereby combining diverse domains of study. His Silicon research is multidisciplinary, incorporating perspectives in Etching and Substrate. As part of the same scientific family, Gregory T. A. Kovacs usually focuses on Analytical chemistry, concentrating on Sample and intersecting with Chromatography, Cartridge and Analyte.

He most often published in these fields:

• Electronic engineering (16.30%)
• Biomedical engineering (14.10%)
• Optoelectronics (13.22%)

What were the highlights of his more recent work (between 2009-2020)?

• Biomedical engineering (14.10%)
• Acoustics (9.25%)
• Ballistocardiography (4.41%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Biomedical engineering, Acoustics, Ballistocardiography, Signal and Computer hardware. His work deals with themes such as Heartbeat, Electrophysiology, Pressure measurement, Electrical impedance and Peripheral blood, which intersect with Biomedical engineering. In the field of Acoustics, his study on Noise measurement and Active noise control overlaps with subjects such as Accelerometer and Omnidirectional antenna.

His studies deal with areas such as Parabolic flight, Cardiovascular monitoring, Healthy subjects and Motion artifacts as well as Ballistocardiography. His work on Noise is typically connected to Scale and Spectral analysis as part of general Signal study, connecting several disciplines of science. His research links Electronic engineering with Current-feedback operational amplifier.

Between 2009 and 2020, his most popular works were:

• Method for separating an analyte from a sample (277 citations)
• Ballistocardiography — A method worth revisiting (89 citations)
• Systems and methods for monitoring the circulatory system (79 citations)

In his most recent research, the most cited papers focused on:

• Electrical engineering
• Internal medicine
• Artificial intelligence

Gregory T. A. Kovacs focuses on Biomedical engineering, Artificial intelligence, Electrocardiography, Signal and Analytical chemistry. Gregory T. A. Kovacs focuses mostly in the field of Biomedical engineering, narrowing it down to topics relating to Electrical impedance and, in certain cases, Platelet, Shear force, Dielectric spectroscopy, Amplifier and Platelet activation. His Artificial intelligence study integrates concerns from other disciplines, such as Gait, Speech recognition and Computer vision.

His Electrocardiography research is multidisciplinary, incorporating elements of Contractility and Blood pressure monitoring. The Signal study combines topics in areas such as Noise control, Noise measurement and Noise. His study in Analytical chemistry is interdisciplinary in nature, drawing from both Flow, Chromatography, Elution, Extraction and Sample.