What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Computer network
- Mechanical engineering
The scientist’s investigation covers issues in Ultrasonic sensor, Robot end effector, Surgical instrument, Acoustics and Computer hardware.
He works mostly in the field of Ultrasonic sensor, limiting it down to topics relating to Mechanical engineering and, in certain cases, Engineering drawing and Simulation.
He focuses mostly in the field of Surgical instrument, narrowing it down to matters related to Signal and, in some cases, Biomedical engineering, Electrical contacts and Mount.
His Acoustics research incorporates elements of Generator and Electronic engineering.
Eitan T. Wiener has researched Electronic engineering in several fields, including Piezoelectricity and Wavelength.
His work deals with themes such as Battery, Generator, Digital signal processor and Feature, which intersect with Computer hardware.
His most cited work include:
- Ultrasonic surgical instruments (899 citations)
- Apparatus and method for alerting generator functions in an ultrasonic surgical system (832 citations)
- Ultrasonic device for cutting and coagulating with stepped output (745 citations)
What are the main themes of his work throughout his whole career to date?
Eitan T. Wiener mainly focuses on Ultrasonic sensor, Acoustics, Surgical instrument, Computer hardware and Robot end effector.
His Ultrasonic sensor research incorporates themes from Generator, Electrical impedance, Signal, Electrical engineering and Electronic engineering.
His study in Electronic engineering is interdisciplinary in nature, drawing from both Piezoelectricity and Mechanical energy.
His Acoustics research integrates issues from Transverse plane, Resonance and Voltage.
His studies deal with areas such as Radio frequency, Biomedical engineering and Closed position as well as Surgical instrument.
His Computer hardware research focuses on subjects like Generator, which are linked to Surgical device, Digital signal processor and Encryption.
He most often published in these fields:
- Ultrasonic sensor (57.72%)
- Acoustics (37.40%)
- Surgical instrument (32.52%)
What were the highlights of his more recent work (between 2017-2020)?
- Modular design (12.20%)
- Surgical instrument (32.52%)
- Computer hardware (20.33%)
In recent papers he was focusing on the following fields of study:
Eitan T. Wiener mainly investigates Modular design, Surgical instrument, Computer hardware, Energy system and Header.
His Surgical instrument research is multidisciplinary, relying on both Signal, Electrical engineering and Biomedical engineering.
His Biomedical engineering study incorporates themes from Power controller, Mechanism and Radio frequency.
The concepts of his Computer hardware study are interwoven with issues in Visualization and Communication link.
His work deals with themes such as Bridge, Connection, Electrical connection and Cable gland, which intersect with Backplane.
His Ultrasonic sensor study is focused on Acoustics in general.
Between 2017 and 2020, his most popular works were:
- METHOD OF HUB COMMUNICATION, PROCESSING, DISPLAY, AND CLOUD ANALYTICS (30 citations)
- METHOD OF HUB COMMUNICATION (19 citations)
- METHOD OF HUB COMMUNICATION, PROCESSING, STORAGE AND DISPLAY (16 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Computer network
- Mechanical engineering
Eitan T. Wiener spends much of his time researching Surgical instrument, Computer hardware, Cloud computing, Biomedical engineering and Modular design.
By researching both Surgical instrument and USable, Eitan T. Wiener produces research that crosses academic boundaries.
His Computer hardware study integrates concerns from other disciplines, such as Visualization and Communication link.
His Biomedical engineering research spans across into subjects like Radiofrequency energy and Robot end effector.
His Modular design research incorporates a variety of disciplines, including Backplane, Energy system, Header and Surgical device.
The study incorporates disciplines such as Identifier, Computer network and Encryption in addition to Surgical device.
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