What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Artificial intelligence
His primary areas of study are Computer graphics, Optical disc, Computer hardware, Artificial intelligence and Object.
His studies deal with areas such as Timestamp, Frame and Multiplexing as well as Computer graphics.
His Optical disc research is multidisciplinary, incorporating perspectives in Bitstream, Information retrieval and Data structure.
His research in Computer hardware tackles topics such as Audio signal which are related to areas like Gapless playback.
The concepts of his Artificial intelligence study are interwoven with issues in Subtitle, Computer vision and Character encoding.
As part of one scientific family, he deals mainly with the area of Object, narrowing it down to issues related to the Video capture, and often Byte.
His most cited work include:
- Method and an apparatus for reproducing bitstream having non-sequential system clock data seamlessly therebetween (298 citations)
- Reproduction device, optical disc, recording medium, program, and reproduction method (188 citations)
- Optical disc, recording apparatus, and computer-readable recording medium (183 citations)
What are the main themes of his work throughout his whole career to date?
Tomoyuki Okada spends much of his time researching Computer graphics, Optical disc, Computer hardware, Multiplexing and Decoding methods.
In the field of Computer graphics, his study on Graphics overlaps with subjects such as Reproduction.
His Graphics research integrates issues from Value, State, Network packet and Interactive displays.
His study in Optical disc is interdisciplinary in nature, drawing from both Object, Computer vision, Artificial intelligence and Reading.
He interconnects Bitstream, Process, Real-time computing and Encoding in the investigation of issues within Computer hardware.
His research on Decoding methods often connects related areas such as Random access.
He most often published in these fields:
- Computer graphics (35.62%)
- Optical disc (33.05%)
- Computer hardware (28.54%)
What were the highlights of his more recent work (between 2009-2015)?
- Computer graphics (35.62%)
- Decoding methods (16.95%)
- Multiplexing (19.96%)
In recent papers he was focusing on the following fields of study:
Tomoyuki Okada spends much of his time researching Computer graphics, Decoding methods, Multiplexing, Optical disc and Computer hardware.
In the subject of general Computer graphics, his work in Graphics is often linked to Flag, thereby combining diverse domains of study.
The Decoding methods study combines topics in areas such as Audio signal, Sub-band coding, Random access, Voice data and FLAGS register.
Tomoyuki Okada has researched Multiplexing in several fields, including Algorithm, Encapsulation, Buffer and Network packet.
His biological study spans a wide range of topics, including Reading and Stereoscopy, Artificial intelligence, Computer vision.
Tomoyuki Okada has included themes like Coding decoding, Process, Encoding, Frame and State in his Computer hardware study.
Between 2009 and 2015, his most popular works were:
- HEAT SHIELD BLOCK AND HEAT SHIELD CEMENT COMPOSITION (6 citations)
- Recording method, reproduction device, method for executing reproduction (6 citations)
- Moving picture generation apparatus, coding apparatus, decoding apparatus and multiplexing apparatus (5 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Artificial intelligence
His main research concerns Decoding methods, Computer graphics, Flag, Multiplexing and Computer hardware.
Tomoyuki Okada works mostly in the field of Decoding methods, limiting it down to concerns involving Audio signal and, occasionally, Speech coding.
Tomoyuki Okada merges Computer graphics with Timeline in his study.
Multiplexing and Graphics are frequently intertwined in his study.
His work deals with themes such as Transfer, State, Active state and Interactive displays, which intersect with Graphics.
His Computer hardware research focuses on subjects like Encoding, which are linked to Computer vision.
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