D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 4,481 102 World Ranking 10167 National Ranking 4553

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Computer network
  • Operating system

His primary areas of study are Multimedia, World Wide Web, User profile, Content and Media content. His studies deal with areas such as Communication interface, Metadata, Microphone, Communication device and Asset as well as Multimedia. His research in Metadata focuses on subjects like Aggregate, which are connected to Information retrieval.

His work on RSS and Mobile device as part of general World Wide Web study is frequently connected to Electronic mail, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. He has included themes like Presentation, Volume, Track, CLIPS and Yet another in his User profile study. Content is connected with Application server and Computer network in his study.

His most cited work include:

  • System for providing personalized telephone calling features (339 citations)
  • System and method for monitoring information flow and performing data collection (269 citations)
  • Method and apparatus for interactively retrieving content related to previous query results (229 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Multimedia, Artificial intelligence, Content, World Wide Web and Media content. Bernard S. Renger studies IPTV, a branch of Multimedia. His Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Natural language processing.

In the subject of general Natural language processing, his work in Natural language is often linked to Spoken dialog, thereby combining diverse domains of study. His Content study spans across into fields like Information retrieval, User profile, User device and Computer network. His study in World Wide Web focuses on RSS and Mobile device.

He most often published in these fields:

  • Multimedia (33.12%)
  • Artificial intelligence (18.18%)
  • Content (15.58%)

What were the highlights of his more recent work (between 2017-2020)?

  • Human–computer interaction (9.09%)
  • Artificial intelligence (18.18%)
  • Object (5.19%)

In recent papers he was focusing on the following fields of study:

Bernard S. Renger mainly investigates Human–computer interaction, Artificial intelligence, Object, Multimedia and Computer network. His Human–computer interaction research is multidisciplinary, incorporating perspectives in Session and Communications system. His work deals with themes such as User device and Computer vision, which intersect with Artificial intelligence.

His Object research is multidisciplinary, incorporating elements of Virtual image, Videoconferencing and Presentation. His Multimedia study combines topics from a wide range of disciplines, such as Aggregate and Application programming interface. Bernard S. Renger undertakes multidisciplinary studies into User equipment and Content in his work.

Between 2017 and 2020, his most popular works were:

  • NETWORK ROUTING OF MEDIA STREAMS BASED UPON SEMANTIC CONTENTS (9 citations)
  • OBJECT MODELING WITH ADVERSARIAL LEARNING (5 citations)
  • Identifying and addressing offensive actions in visual communication sessions (2 citations)

In his most recent research, the most cited papers focused on:

  • The Internet
  • Computer network
  • Operating system

His primary scientific interests are in Human–computer interaction, Computer network, Monitoring food intake, Context based and Routing. The Human–computer interaction study combines topics in areas such as Representation, Session, Visual communication and Communications system. His Computer network research incorporates themes from Drop and Executable.

His studies link STREAMS with Routing.

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.

Best Publications

System for providing personalized telephone calling features

Carroll W Creswell;Francine S Frome;Daniel Furman;Filip S Kravitz.
(1992)

528 Citations

System for providing personalized telephone calling features

Carroll W. Creswell;Francine S. Frome;Daniel Furman;Philip S. Kravitz.
(1992)

516 Citations

System and method for monitoring information flow and performing data collection

Charles George Johnson;Ramnath A. Lakshmi-Ratan;Steven G. Lanning;Bernard S L Renger.
(1996)

408 Citations

Method and apparatus for interactively retrieving content related to previous query results

Lee Begeja;David Crawford Gibbon;Zhu Liu;Bernard S. Renger.
(2003)

311 Citations

Systems and Methods to Provide Location Information

Daniel Sheleheda;Cynthia Cama;Yih-Farn Chen;Rittwik Jana.
(2008)

270 Citations

Library of existing spoken dialog data for use in generating new natural language spoken dialog systems

Lee Begeja;Giuseppe Di Fabbrizio;David Crawford Gibbon;Dilek Z. Hakkani-Tur.
(2005)

260 Citations

System and method for selecting a multimedia presentation to accompany text

Zhu Liu;Andrea Basso;Lee Begeja;David C. Gibbon.
(2008)

235 Citations

System and method for playing media

Andrea Basso;Zhu Liu;Bernard S. Renger;Behzad Shahraray.
(2008)

207 Citations

System and method for adaptive content rendition

Andrea Basso;David C. Gibbon;Zhu Liu;Bernard S. Renger.
(2010)

197 Citations

Alternate delivery mechanisms of customized video streaming content to devices not meant for receiving video

Lee Begeja;David Gibbon;Zhu Liu;Robert Markowitz.
(2002)

185 Citations

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