What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mechanical engineering
- Operating system
Clarence T. Tegreene mainly investigates Biomedical engineering, World Wide Web, Artificial intelligence, Database and Computer vision.
His Biomedical engineering research focuses on Lumen in particular.
His research combines Fingerprint and World Wide Web.
His work carried out in the field of Database brings together such families of science as Object and Code.
His Computer vision study combines topics in areas such as Mechanism, Surgical Fasteners, Tissue sealant, Surgical staple and Surgical device.
His work deals with themes such as Authorization, Component and Implementation, which intersect with Data file.
His most cited work include:
- Steerable surgical stapler (848 citations)
- Maneuverable surgical stapler (747 citations)
- Gentle touch surgical stapler (731 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Computer vision, Optics, Acoustics and Biomedical engineering.
Acoustics connects with themes related to Controller in his study.
He most often published in these fields:
- Artificial intelligence (9.28%)
- Computer vision (7.72%)
- Optics (7.51%)
What were the highlights of his more recent work (between 2013-2020)?
- Artificial intelligence (9.28%)
- Computer vision (7.72%)
- Acoustics (7.09%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Acoustics, Human–computer interaction and Real-time computing are his primary areas of study.
Clarence T. Tegreene studies Computer vision, namely Image sensor.
His Acoustics study frequently draws connections between adjacent fields such as Amplitude.
His Human–computer interaction research incorporates elements of User interface and Electronic circuit.
His research is interdisciplinary, bridging the disciplines of Big data and Electronic circuit.
His study in Simulation extends to Real-time computing with its themes.
Between 2013 and 2020, his most popular works were:
- Systems and methods for providing wireless power to a power-receiving device, and related power-receiving devices (171 citations)
- Reconfigurable unmanned aircraft system (78 citations)
- System and method for management of airspace for unmanned aircraft (69 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Electrical engineering
- Artificial intelligence
Clarence T. Tegreene spends much of his time researching Computer vision, Artificial intelligence, Computer network, End user and Real-time computing.
He combines subjects such as Computer program, Human–computer interaction and Representation with his study of Computer vision.
Clarence T. Tegreene interconnects Order and Unit in the investigation of issues within End user.
His study looks at the relationship between Unit and fields such as Embedded system, as well as how they intersect with chemical problems.
His research in Real-time computing intersects with topics in Object and Simulation.
His Simulation study integrates concerns from other disciplines, such as Automotive engineering and Component.
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