What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
His primary scientific interests are in Distributed computing, Ubiquitous computing, Computation, Wireless sensor network and Distributed algorithm.
His research on Distributed computing frequently connects to adjacent areas such as Timestamp.
His Ubiquitous computing research is classified as research in Human–computer interaction.
His Wireless sensor network research is multidisciplinary, relying on both Key distribution in wireless sensor networks, Mobile wireless sensor network, Web server and Internet privacy.
His work carried out in the field of Mobile wireless sensor network brings together such families of science as Sensor web and Wi-Fi array.
His research integrates issues of FIFO, State, Lamport timestamps and Asynchronous communication in his study of Distributed algorithm.
His most cited work include:
- The design space of wireless sensor networks (1377 citations)
- Virtual Time and Global States of Distributed Systems (1162 citations)
- Smart-Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts (479 citations)
What are the main themes of his work throughout his whole career to date?
Friedemann Mattern mainly investigates Ubiquitous computing, Distributed computing, Wireless sensor network, Distributed algorithm and Human–computer interaction.
Friedemann Mattern has included themes like Smart environment and Computer security in his Ubiquitous computing study.
His Distributed computing study combines topics in areas such as Timestamp and Server.
His Wireless sensor network research is multidisciplinary, relying on both Object, Key distribution in wireless sensor networks, Wireless network and The Internet.
His Distributed algorithm research incorporates elements of Algorithm, Computation and Theoretical computer science.
His Human–computer interaction study incorporates themes from Semantics and Scalability.
He most often published in these fields:
- Ubiquitous computing (20.91%)
- Distributed computing (18.18%)
- Wireless sensor network (13.64%)
What were the highlights of his more recent work (between 2010-2019)?
- Human–computer interaction (13.64%)
- Occupancy (4.55%)
- Ubiquitous computing (20.91%)
In recent papers he was focusing on the following fields of study:
Friedemann Mattern focuses on Human–computer interaction, Occupancy, Ubiquitous computing, Smart meter and Energy consumption.
His biological study spans a wide range of topics, including Smart environment and Scalability.
His study looks at the relationship between Scalability and topics such as Variety, which overlap with Web of Things, Mashup and World Wide Web.
The study incorporates disciplines such as Session, Joint and Accelerometer in addition to Ubiquitous computing.
The various areas that Friedemann Mattern examines in his Smart meter study include Energy conservation and Embedded system.
His Electricity study combines topics from a wide range of disciplines, such as Computer security and Process.
Between 2010 and 2019, his most popular works were:
- From the Internet of Things to the Web of Things: Resource-oriented Architecture and Best Practices (363 citations)
- Leveraging smart meter data to recognize home appliances (149 citations)
- Predicting household occupancy for smart heating control: A comparative performance analysis of state-of-the-art approaches (79 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
His main research concerns Web of Things, World Wide Web, Mashup, Human–computer interaction and Consumption.
His Web of Things research incorporates themes from Variety, Scalability, Ajax and JavaScript.
His World Wide Web research integrates issues from Smart environment and Visual programming language.
His work in Human–computer interaction covers topics such as Semantics which are related to areas like Visualization, Web service and Metadata.
His studies in Smart meter integrate themes in fields like Computer security, Energy conservation, Energy consumption and Process.
His study in End user is interdisciplinary in nature, drawing from both Ubiquitous computing and Home automation.
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.
