What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Mechanical engineering
Stephane Regnier spends much of his time researching Astrophysics, Photosphere, Magnetic helicity, Field and Corona.
His Astrophysics research includes elements of Coronal mass ejection, Magnetic reconnection, Protein filament and Flux tube.
His Photosphere research integrates issues from Computational physics, Chromosphere and Magnetogram.
His work carried out in the field of Magnetic helicity brings together such families of science as Coronal loop and Magnetic energy.
His research ties Stellar magnetic field and Corona together.
His Force-free magnetic field study also includes
- Mathematical analysis that connect with fields like Vector field,
- Classical mechanics most often made with reference to Free field.
His most cited work include:
- A CRITICAL ASSESSMENT OF NONLINEAR FORCE-FREE FIELD MODELING OF THE SOLAR CORONA FOR ACTIVE REGION 10953 (379 citations)
- NONLINEAR FORCE-FREE MODELING OF CORONAL MAGNETIC FIELDS PART I: A QUANTITATIVE COMPARISON OF METHODS (310 citations)
- NONLINEAR FORCE-FREE FIELD MODELING OF A SOLAR ACTIVE REGION AROUND THE TIME OF A MAJOR FLARE AND CORONAL MASS EJECTION (284 citations)
What are the main themes of his work throughout his whole career to date?
Stephane Regnier mainly focuses on Haptic technology, Astrophysics, Artificial intelligence, Control theory and Nanotechnology.
His work investigates the relationship between Haptic technology and topics such as Teleoperation that intersect with problems in Telerobotics.
His Astrophysics study combines topics from a wide range of disciplines, such as Coronal loop, Coronal mass ejection, Computational physics and Magnetic energy.
His Computational physics research is multidisciplinary, incorporating elements of Field line and Photosphere.
As part of the same scientific family, Stephane Regnier usually focuses on Nanotechnology, concentrating on Adhesion and intersecting with Mechanics.
His study in the field of Tracking is also linked to topics like Asynchronous communication.
He most often published in these fields:
- Haptic technology (17.62%)
- Astrophysics (17.62%)
- Artificial intelligence (14.36%)
What were the highlights of his more recent work (between 2015-2021)?
- Actuator (9.76%)
- Haptic technology (17.62%)
- Control theory (12.20%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Actuator, Haptic technology, Control theory, Robot and Astrophysics.
To a larger extent, he studies Simulation with the aim of understanding Haptic technology.
The various areas that Stephane Regnier examines in his Control theory study include Inertial frame of reference and Inertia.
His Robot research incorporates elements of Control engineering and Coordinate system, Computer vision.
Stephane Regnier has researched Astrophysics in several fields, including Coronal mass ejection, Geomagnetic storm, Magnetohydrodynamics, Ionosphere and Interplanetary medium.
His Magnetohydrodynamics research focuses on Plane and how it relates to Computational physics.
Between 2015 and 2021, his most popular works were:
- Damping of Propagating Kink Waves in the Solar Corona (16 citations)
- Statistical Analysis of Solar Events Associated with Storm Sudden Commencements over One Year of Solar Maximum During Cycle 23: Propagation from the Sun to the Earth and Effects (16 citations)
- Closed-Loop Control of a Magnetic Particle at the Air–Liquid Interface (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Optics
Stephane Regnier focuses on Control theory, Actuator, Robot, Trajectory and Piezoelectricity.
His biological study spans a wide range of topics, including Tracking, Propulsion, Magnetic particle inspection and Position error.
His Actuator research integrates issues from Vibration, Inertial frame of reference and Voltage.
His Inertial frame of reference study combines topics from a wide range of disciplines, such as Automatic frequency control, System dynamics, Mechatronics, Nonlinear system and Robot end effector.
His study on Nonholonomic system is often connected to Flexibility as part of broader study in Robot.
His research investigates the connection between Bandwidth and topics such as Simulation that intersect with problems in Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
