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 46 Citations 6,126 60 World Ranking 4460 National Ranking 2234

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • World Wide Web
  • Artificial intelligence

Charles W. Cross spends much of his time researching Multimedia, Speech recognition, Artificial intelligence, Natural language processing and Rendering. His study looks at the relationship between Multimedia and topics such as Human–computer interaction, which overlap with User interface, Text display and Search engine indexing. Speech recognition is closely attributed to Hyperlink in his research.

His study in the field of Rule-based machine translation, Word and Lexicon also crosses realms of Context based. His Natural language processing study spans across into fields like Spelling and Digital audio. His Rendering study combines topics from a wide range of disciplines, such as End system, Multimodal interaction, Processing Instruction and Voice browser.

His most cited work include:

  • Disambiguating A Speech Recognition Grammar In A Multimodal Application (255 citations)
  • Enabling voice click in a multimodal page (189 citations)
  • Document Session Replay for Multimodal Applications (187 citations)

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

His primary areas of study are Speech recognition, Natural language processing, Artificial intelligence, Multiple modes and Mode. His studies deal with areas such as Interpreter, Computer program, Event and VoiceXML as well as Speech recognition. His study looks at the intersection of VoiceXML and topics like Programming language with XML.

His Natural language processing research is multidisciplinary, relying on both Word, Utterance and Markup language. His work in Artificial intelligence tackles topics such as Value which are related to areas like Security token and Interpretation. He focuses mostly in the field of Mode, narrowing it down to topics relating to Dialog box and, in certain cases, Computer user interface.

He most often published in these fields:

  • Speech recognition (40.91%)
  • Natural language processing (27.27%)
  • Artificial intelligence (27.27%)

What were the highlights of his more recent work (between 2008-2016)?

  • Natural language processing (27.27%)
  • Artificial intelligence (27.27%)
  • Speech recognition (40.91%)

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

Charles W. Cross mostly deals with Natural language processing, Artificial intelligence, Speech recognition, Container and Metadata. In his research, Speech input and Frame is intimately related to Markup language, which falls under the overarching field of Natural language processing. Charles W. Cross has researched Container in several fields, including File system, Operating system and Database.

His study in Metadata is interdisciplinary in nature, drawing from both Mode, Multimedia and Lexicon. His Rule-based machine translation study incorporates themes from HTML and Multimodal interaction. In his research on the topic of Multimodal interaction, Web resource and Computer program is strongly related with Web page.

Between 2008 and 2016, his most popular works were:

  • Adjusting a speech engine for a mobile computing device based on background noise (183 citations)
  • Context-based grammars for automated speech recognition (174 citations)
  • Establishing a Multimodal Personality for a Multimodal Application in Dependence Upon Attributes of User Interaction (159 citations)

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

Disambiguating A Speech Recognition Grammar In A Multimodal Application

Charles W. Cross;Marc T. White.
(2007)

388 Citations

Document Session Replay for Multimodal Applications

Shay Ben-David;Charles W. Cross;Marc T. White.
(2007)

291 Citations

Adjusting a speech engine for a mobile computing device based on background noise

Ciprian Agapi;William K. Bodin;Charles W. Cross;Paritosh D. Patel.
(2012)

289 Citations

Enabling voice click in a multimodal page

Charles W. Cross;Marc White.
(2004)

289 Citations

Context-based grammars for automated speech recognition

Charles W. Cross;Frank L. Jania.
(2012)

273 Citations

Establishing a Multimodal Personality for a Multimodal Application in Dependence Upon Attributes of User Interaction

Charles W. Cross;Hilary A. Pike.
(2013)

246 Citations

Oral modification of an ASR lexicon of an ASR engine

Charles W. Cross;Frank L. Jania;James R. Lewis.
(2006)

245 Citations

Enabling dynamic voiceXML in an X+V page of a multimodal application

Charles W. Cross;Hilary A. Pike;Lisa A. Seacat;Marc T. White.
(2007)

228 Citations

Dynamic switching between local and remote speech rendering

David Jaramillo.
(2004)

223 Citations

Indexing digitized speech with words represented in the digitized speech

Charles W. Cross;Frank L. Jania.
(2007)

191 Citations

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