What is he best known for?
The fields of study he is best known for:
- The Internet
- Computer network
- Multimedia
Michael D. Ellis spends much of his time researching Interactive television, Multimedia, Television equipment, World Wide Web and Schedule.
His work often combines Interactive television and Set studies.
His Server research extends to Multimedia, which is thematically connected.
Specifically, his work in World Wide Web is concerned with the study of Client–server model.
The various areas that he examines in his Client–server model study include Media server, Electronic program guide and Cache.
His Data processing system research includes themes of Control, Service and Remote control.
His most cited work include:
- Interactive television program guide with remote access (1556 citations)
- Client-server based interactive television program guide system with remote server recording (1304 citations)
- Systems and methods for interactive program guides with personal video recording features (1295 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Multimedia, Interactive television, World Wide Web, Television equipment and Schedule.
His study in Multimedia is interdisciplinary in nature, drawing from both Server and Internet television.
The Server study combines topics in areas such as Media server and Cache.
In his study, Real-time computing is strongly linked to Control, which falls under the umbrella field of Interactive television.
Among his Schedule studies, you can observe a synthesis of other disciplines of science such as Set, Computer hardware, Data processing system, User control and Service.
In his study, which falls under the umbrella issue of Interactive media, Word, Phrase, Key and Information retrieval is strongly linked to Identifier.
He most often published in these fields:
- Multimedia (62.44%)
- Interactive television (54.63%)
- World Wide Web (24.88%)
What were the highlights of his more recent work (between 2010-2018)?
- Interactive television (54.63%)
- Multimedia (62.44%)
- World Wide Web (24.88%)
In recent papers he was focusing on the following fields of study:
Michael D. Ellis mainly focuses on Interactive television, Multimedia, World Wide Web, Overlay and Interactive media.
His work in Interactive television is not limited to one particular discipline; it also encompasses Control.
His Control research focuses on Cache and how it relates to Client–server model.
His work on Media content as part of general Multimedia study is frequently linked to Link, therefore connecting diverse disciplines of science.
His work deals with themes such as Advertising and Database, which intersect with World Wide Web.
His studies examine the connections between Interactive media and genetics, as well as such issues in Identifier, with regards to Information retrieval.
Between 2010 and 2018, his most popular works were:
- Interactive television program guide with simultaneous watch and record capabilities (251 citations)
- Series reminders and series recording from an interactive television program guide (231 citations)
- Systems and methods for providing a program as a gift using an interactive application (158 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Multimedia
Michael D. Ellis focuses on Multimedia, Interactive television, World Wide Web, Computer hardware and Mode.
His study on Television programming is often connected to Voice command device and Television equipment as part of broader study in Multimedia.
His research on Interactive television frequently links to adjacent areas such as Television channel.
His research integrates issues of Media content and Broadcast time in his study of World Wide Web.
His Computer hardware research is multidisciplinary, relying on both Window, Wizard and Implementation.
In his work, Phrase, Cluster based, Word, Key and Identifier is strongly intertwined with Data mining, which is a subfield of Information retrieval.
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.
