What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mechanical engineering
- Surgery
Mark D. Overmyer mostly deals with Surgical instrument, Simulation, Robot end effector, Signal and Computer hardware.
His studies in Surgical instrument integrate themes in fields like Control engineering, Control system and Control.
His Simulation study combines topics in areas such as Creep, Stability and Viscoelasticity.
Robot end effector is intertwined with Articulation, Cartridge, Biomedical engineering, Endoscopic Procedure and Piston in his research.
His Signal study combines topics from a wide range of disciplines, such as Power and Electronic engineering.
The study incorporates disciplines such as Surgical stapling, Electrical contacts, Electric motor and Current sensor, Current in addition to Microcontroller.
His most cited work include:
- Articulatable surgical instrument comprising a firing drive (789 citations)
- Surgical instrument comprising a sensor system (744 citations)
- Control systems for surgical instruments (713 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Surgical instrument, Robot end effector, Simulation, Mechanical engineering and Electrical engineering.
His Surgical instrument research integrates issues from Control engineering, Stroke, Computer hardware and Signal.
His Signal research focuses on Electronic engineering and how it relates to Microcontroller.
The Simulation study combines topics in areas such as Mode and Cartridge.
As a member of one scientific family, Mark D. Overmyer mostly works in the field of Mechanical engineering, focusing on Surgical stapling and, on occasion, Base and Lock.
His work in Electrical engineering addresses subjects such as Power, which are connected to disciplines such as Voltage.
He most often published in these fields:
- Surgical instrument (49.26%)
- Robot end effector (30.88%)
- Simulation (18.38%)
What were the highlights of his more recent work (between 2017-2021)?
- Surgical instrument (49.26%)
- Robot end effector (30.88%)
- Simulation (18.38%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Surgical instrument, Robot end effector, Simulation, Mechanical engineering and Surgical stapling.
In his work, Blocking is strongly intertwined with Biomedical engineering, which is a subfield of Surgical instrument.
His Simulation research is multidisciplinary, incorporating elements of Mode, Reset, Fuse, Cartridge and Stroke.
His Cartridge research is multidisciplinary, incorporating perspectives in Lock and Closed position.
His Surgical stapling research includes elements of Control system, Control engineering, Barrel, Electric motor and Battery.
His work is dedicated to discovering how Control system, Control are connected with Bridge circuit and Automotive engineering and other disciplines.
Between 2017 and 2021, his most popular works were:
- Jaw actuated lock arrangements for preventing advancement of a firing member in a surgical end effector unless an unfired cartridge is installed in the end effector (145 citations)
- SHAFT ASSEMBLY COMPRISING A CLUTCH CONFIGURED TO ADAPT THE OUTPUT OF A ROTARY FIRING MEMBER TO TWO DIFFERENT SYSTEMS (144 citations)
- ROBOTIC ATTACHMENT COMPRISING EXTERIOR DRIVE ACTUATOR (21 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Electrical engineering
- Surgery
Mark D. Overmyer mainly investigates Robot end effector, Surgical instrument, Cartridge, Simulation and Mechanical engineering.
His Robot end effector investigation overlaps with other disciplines such as Calibration, Longitudinal axis, Acoustics, Rotation and Controller.
The concepts of his Surgical instrument study are interwoven with issues in Tension and Biomedical engineering.
The various areas that Mark D. Overmyer examines in his Cartridge study include Lock, Closed position, Reset, Fuse and Stroke.
Mark D. Overmyer has researched Simulation in several fields, including Mode, Transmission and Clutch.
His Actuator research extends to the thematically linked field of Mechanical engineering.
This overview was generated by a machine learning system which analysed the scientist’s
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