What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Operating system
His primary scientific interests are in Multimedia, World Wide Web, Artificial intelligence, Virtual world and Computer vision.
His Multimedia course of study focuses on Content and Carry and Data mining.
He interconnects Fingerprint and Schema in the investigation of issues within World Wide Web.
The concepts of his Artificial intelligence study are interwoven with issues in Real-time computing, Speech recognition, Resource and Natural language processing.
His Virtual world study integrates concerns from other disciplines, such as Computer security and Implementation.
His biological study spans a wide range of topics, including Event and Computer program.
His most cited work include:
- Computational user-health testing (278 citations)
- Real-world incentives offered to virtual world participants (268 citations)
- Unmanned device interaction methods and systems (247 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Multimedia, Human–computer interaction, World Wide Web, Computer program and Artificial intelligence.
His work carried out in the field of Multimedia brings together such families of science as Content and Product.
The study of Human–computer interaction is intertwined with the study of User interface in a number of ways.
His work in World Wide Web tackles topics such as Virtual world which are related to areas like Computer security.
In his research, Information retrieval is intimately related to Data mining, which falls under the overarching field of Computer program.
His Artificial intelligence research is multidisciplinary, relying on both Computer vision and Natural language processing.
He most often published in these fields:
- Multimedia (15.16%)
- Human–computer interaction (12.18%)
- World Wide Web (11.53%)
What were the highlights of his more recent work (between 2012-2020)?
- Computer network (10.36%)
- Wearable computer (3.89%)
- Subject matter (4.79%)
In recent papers he was focusing on the following fields of study:
Robert W. Lord spends much of his time researching Computer network, Wearable computer, Subject matter, Human–computer interaction and World Wide Web.
His Computer network research includes themes of Wireless, Telecommunications, Database transaction, Wi-Fi array and End user.
Robert W. Lord has researched Wearable computer in several fields, including Computer hardware, Mobile device and Gesture.
His research in Human–computer interaction tackles topics such as Electronic circuit which are related to areas like Big data.
His work in World Wide Web addresses issues such as Multimedia, which are connected to fields such as Content.
The Implementation study combines topics in areas such as Computer security, Database, Data provider and Product.
Between 2012 and 2020, his most popular works were:
- Methods, systems, and devices for handling captured image data that is received by devices (156 citations)
- Supporting antenna assembly configuration network infrastructure (112 citations)
- Techniques for processing images (76 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Artificial intelligence
Computer network, Subject matter, Computer security, End user and Database transaction are his primary areas of study.
He combines subjects such as Wireless, Telecommunications and Embedded system with his study of Computer network.
Within one scientific family, Robert W. Lord focuses on topics pertaining to Vendor under Database transaction, and may sometimes address concerns connected to Communication channel and World Wide Web.
His World Wide Web study incorporates themes from Terms of service and Software deployment.
His research investigates the connection between User device and topics such as Fingerprint that intersect with problems in Human–computer interaction.
His Directional antenna research integrates issues from Artificial intelligence and Computer vision.
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