What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- The Internet
- Optics
His scientific interests lie mostly in Bar, Computer hardware, Reading, Symbol and Laser scanning.
His study looks at the relationship between Bar and fields such as Tracking, as well as how they intersect with chemical problems.
His Computer hardware research incorporates elements of Mode, Event, Real-time computing and Engineering drawing.
The Mode study combines topics in areas such as Object detection and Scanner.
His research integrates issues of Symbol, Multimedia and World Wide Web, The Internet, Server in his study of Reading.
His Symbol study combines topics from a wide range of disciplines, such as Character and Symbol table.
His most cited work include:
- System and method for carrying out information-related transactions using web documents embodying transaction-enabling applets automatically launched and executed in response to reading url-encoded symbols pointing thereto (579 citations)
- Internet-based system and method for tracking objects bearing URL-encoded bar code symbols (563 citations)
- Bar code symbol reading system employing an extremely elongated laser scanning beam capable of reading poor and damaged quality bar code symbols with improved levels of performance (339 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Bar, Reading, Symbol, Computer hardware and Laser scanning.
His Bar study incorporates themes from Engineering drawing, Data transmission, Scanner, Optics and Object detection.
David M. Wilz interconnects Control system, Symbol, The Internet, Signal and Electronic engineering in the investigation of issues within Reading.
The concepts of his Symbol study are interwoven with issues in Character, Speech recognition and Computer graphics.
His work in the fields of Computer hardware, such as Host, overlaps with other areas such as Symbol rate.
His biological study spans a wide range of topics, including Mode and Acoustics.
He most often published in these fields:
- Bar (57.14%)
- Reading (48.90%)
- Symbol (41.21%)
What were the highlights of his more recent work (between 2007-2020)?
- Optics (20.33%)
- Digital image (13.74%)
- Artificial intelligence (19.78%)
In recent papers he was focusing on the following fields of study:
David M. Wilz mainly focuses on Optics, Digital image, Artificial intelligence, Computer vision and Window.
His work on Laser scanning, Beam and Light-emitting diode is typically connected to Field as part of general Optics study, connecting several disciplines of science.
His Laser scanning research is multidisciplinary, incorporating elements of Blanking and Bar.
David M. Wilz integrates many fields, such as Bar and Product, in his works.
David M. Wilz has researched Aperture in several fields, including Optoelectronics, Printed circuit board, Character, Transducer and Reading.
His Symbol study integrates concerns from other disciplines, such as Acoustics and Computer hardware.
Between 2007 and 2020, his most popular works were:
- Bar code symbol reading system employing an extremely elongated laser scanning beam capable of reading poor and damaged quality bar code symbols with improved levels of performance (339 citations)
- Symbol reading system having predictive diagnostics (338 citations)
- Laser scanning code symbol reading system providing improved control over the length and intensity characteristics of a laser scan line projected therefrom using laser source blanking control (336 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Programming language
- Optics
His primary scientific interests are in Computer hardware, Symbol, Laser scanning, Optics and Reading.
His Computer hardware research includes themes of Mode, Event, Initialization and Real-time computing.
In Mode, he works on issues like Scanner, which are connected to Signal.
Symbol is closely attributed to Symbol table in his work.
David M. Wilz studied Laser scanning and Beam that intersect with Bar and Window.
His Reading research includes elements of Speech recognition, Aperture, Transducer and Port.
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.
