What is he best known for?
The fields of study he is best known for:
- The Internet
- Operating system
- Computer network
Nigel Davies mostly deals with World Wide Web, Mobile computing, Human–computer interaction, Ubiquitous computing and Multimedia.
His work on Adaptive hypermedia as part of general World Wide Web research is frequently linked to Visitor pattern, thereby connecting diverse disciplines of science.
His research integrates issues of Cloudlet, Distributed computing, Quality of service, Adaptation and Mobile search in his study of Mobile computing.
His Human–computer interaction research includes elements of Smart environment, User interface, Focus, Wireless network and Mobile device.
His Mobile device research is multidisciplinary, relying on both Context management, Context-aware services, Context model and Interactive computing.
He has researched Ubiquitous computing in several fields, including Mechanism, Location based applications, Data science and Computer security.
His most cited work include:
- Towards a Better Understanding of Context and Context-Awareness (3765 citations)
- The Case for VM-Based Cloudlets in Mobile Computing (2708 citations)
- Developing a context-aware electronic tourist guide: some issues and experiences (945 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Multimedia, Mobile computing, Human–computer interaction, Ubiquitous computing and Distributed computing.
His work deals with themes such as Session and Key, which intersect with Multimedia.
His studies in Mobile computing integrate themes in fields like Adaptation, Software deployment, Focus and Mobile search.
His Human–computer interaction research includes elements of Wearable computer, Mobile device and Personalization.
His Ubiquitous computing study which covers Computer security that intersects with Internet privacy.
While the research belongs to areas of Distributed computing, Nigel Davies spends his time largely on the problem of Computer network, intersecting his research to questions surrounding Wireless.
He most often published in these fields:
- Multimedia (24.84%)
- Mobile computing (22.98%)
- Human–computer interaction (20.81%)
What were the highlights of his more recent work (between 2017-2021)?
- Human–computer interaction (20.81%)
- Internet privacy (8.07%)
- Data science (6.52%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Human–computer interaction, Internet privacy, Data science, Ubiquitous computing and Computer security.
His Human–computer interaction research incorporates elements of Wireless, Wearable technology, Wearable computer, Testbed and Key.
His studies deal with areas such as Service and Everyday life as well as Internet privacy.
The study incorporates disciplines such as Cybernetics, Focus, Order and Mobile computing in addition to Data science.
His research integrates issues of Space and Usability in his study of Mobile computing.
In general Computer security, his work in Critical infrastructure is often linked to Literature survey linking many areas of study.
Between 2017 and 2021, his most popular works were:
- Transforming Last-mile Logistics: Opportunities for more Sustainable Deliveries (18 citations)
- Programmable Donations: Exploring Escrow-Based Conditional Giving (11 citations)
- Pervasive Data Science on the Edge (10 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Operating system
- Computer network
Nigel Davies focuses on Internet privacy, Data science, Ubiquitous computing, Mobile computing and World Wide Web.
His Internet privacy study integrates concerns from other disciplines, such as User experience design, Delegation, Control and Cognitive reframing.
The concepts of his Data science study are interwoven with issues in Cybernetics, Order, Service and Set.
Nigel Davies performs integrative study on Ubiquitous computing and Maintenance engineering in his works.
The Mobile computing study combines topics in areas such as Space and Software deployment.
His study in World Wide Web is interdisciplinary in nature, drawing from both Field, Memory augmentation and Public displays.
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.
