What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- The Internet
The scientist’s investigation covers issues in World Wide Web, Information retrieval, Multimedia, Annotation and Computer graphics.
His study on Interactive kiosk is often connected to Repurposing as part of broader study in World Wide Web.
In his work, Web browser is strongly intertwined with Web page, which is a subfield of Information retrieval.
His research investigates the connection between Multimedia and topics such as Information sharing that intersect with issues in Online and offline.
His Annotation study integrates concerns from other disciplines, such as Field, Graffiti and Public displays.
His biological study spans a wide range of topics, including Object, Graphical user interface and Engineering drawing.
His most cited work include:
- Systems and methods for freeform annotations (191 citations)
- Systems and methods for collaborative note-taking (160 citations)
- System and method for clipping, repurposing, and augmenting document content (131 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Multimedia, Computer vision, Information retrieval and World Wide Web.
His Artificial intelligence research includes themes of Pattern recognition and Natural language processing.
The Multimedia study combines topics in areas such as Focus, Note-taking, Mobile device and Presentation.
His Computer vision study typically links adjacent topics like Computer graphics.
His Information retrieval research is multidisciplinary, relying on both Annotation and Metadata.
In general World Wide Web study, his work on Web page often relates to the realm of Context, thereby connecting several areas of interest.
He most often published in these fields:
- Artificial intelligence (24.63%)
- Multimedia (24.14%)
- Computer vision (20.69%)
What were the highlights of his more recent work (between 2015-2020)?
- Artificial intelligence (24.63%)
- Information retrieval (20.20%)
- World Wide Web (19.70%)
In recent papers he was focusing on the following fields of study:
Laurent Denoue mainly investigates Artificial intelligence, Information retrieval, World Wide Web, Computer vision and Human–computer interaction.
His work carried out in the field of Artificial intelligence brings together such families of science as Field and Natural language processing.
The study incorporates disciplines such as Fragment and Parsing in addition to Information retrieval.
His work on Window as part of general World Wide Web research is often related to Conversation, thus linking different fields of science.
His Human–computer interaction research integrates issues from Plane, Unique identifier, Landmark, Matching and Synchronization.
Laurent Denoue interconnects Representation, Wearable computer and Social dynamics in the investigation of issues within Multimedia.
Between 2015 and 2020, his most popular works were:
- Overcoming Distractions during Transitions from Break to Work using a Conversational Website-Blocking System (14 citations)
- System and method for replacing user media streams with animated avatars in live videoconferences (8 citations)
- Systems and methods for content curation in video based communications (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- The Internet
His primary areas of investigation include Information retrieval, Implementation, World Wide Web, Multimedia and Parsing.
Laurent Denoue performs integrative Information retrieval and Content research in his work.
Laurent Denoue works mostly in the field of World Wide Web, limiting it down to topics relating to Document capture and, in certain cases, Annotation.
His Multimedia research is multidisciplinary, incorporating elements of Representation, Social dynamics, Wearable computer and Presentation.
His Parsing research is multidisciplinary, relying on both Image processing and Fragment.
His Window research integrates issues from Scrolling, Focus and Snippet.
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