What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His primary scientific interests are in Mobile computing, Computer network, Distributed computing, Wireless network and Ubiquitous computing.
The concepts of his Mobile computing study are interwoven with issues in mHealth, Wireless sensor network, Mobile device and Markov chain.
His studies deal with areas such as Machine learning and Artificial intelligence as well as Computer network.
His Distributed computing study incorporates themes from Wireless ad hoc network, Wireless Routing Protocol, Directed graph and Dynamic Source Routing.
As a part of the same scientific study, David Kotz usually deals with the Wireless network, concentrating on Radio propagation and frequently concerns with Network simulation and Fading.
His Ubiquitous computing research is multidisciplinary, relying on both Computer security, Information privacy, Anonymity, World Wide Web and Dissemination.
His most cited work include:
- A Survey of Context-Aware Mobile Computing Research (1855 citations)
- The changing usage of a mature campus-wide wireless network (550 citations)
- Extracting a Mobility Model from Real User Traces (532 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Distributed computing, Computer security, mHealth and Wireless network are his primary areas of study.
His biological study focuses on Mobile computing.
Many of his studies on Mobile computing apply to Ubiquitous computing as well.
His research investigates the connection with Distributed computing and areas like Multiprocessing which intersect with concerns in File system.
His Computer security research is multidisciplinary, incorporating elements of The Internet and Focus.
His Wireless network study incorporates themes from Wireless ad hoc network and World Wide Web.
He most often published in these fields:
- Computer network (18.36%)
- Distributed computing (17.80%)
- Computer security (16.67%)
What were the highlights of his more recent work (between 2017-2021)?
- mHealth (14.69%)
- Wearable computer (11.30%)
- Psychological intervention (4.24%)
In recent papers he was focusing on the following fields of study:
David Kotz mainly focuses on mHealth, Wearable computer, Psychological intervention, Intervention and Applied psychology.
David Kotz has included themes like Digital health, Focus group, Gerontology and Public health in his mHealth study.
His work deals with themes such as Human–computer interaction, Authentication and Artificial intelligence, which intersect with Wearable computer.
His research in Authentication tackles topics such as Communication channel which are related to areas like Transfer, Computer network, Wireless, Overhead and Information sensitivity.
His Computer network study combines topics from a wide range of disciplines, such as Exploit and Bandwidth.
His Wireless research includes themes of Signal and Antenna.
Between 2017 and 2021, his most popular works were:
- Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial. (29 citations)
- Auracle: Detecting Eating Episodes with an Ear-mounted Sensor (27 citations)
- NoCloud: Exploring Network Disconnection through On-Device Data Analysis (22 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
His main research concerns mHealth, Wearable computer, Psychological intervention, Public health and Real-time computing.
His mHealth study also includes fields such as
- Data science that intertwine with fields like Mobile technology, Center of excellence and Health technology,
- Blockchain which connect with Interoperability.
In his study, Authentication, Computer vision and Artificial intelligence is inextricably linked to Microphone, which falls within the broad field of Wearable computer.
David Kotz works mostly in the field of Real-time computing, limiting it down to topics relating to Commodity hardware and, in certain cases, Field.
In his papers, he integrates diverse fields, such as Data sharing and Computer security.
His study in Computer security is interdisciplinary in nature, drawing from both Health data and Verifiable secret sharing.
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