What is he best known for?
The fields of study he is best known for:
- Statistics
- Operating system
- The Internet
His primary areas of study are Human–computer interaction, Wireless sensor network, Information retrieval, World Wide Web and Embedded system.
His research in Human–computer interaction intersects with topics in User interface, Hidden Markov model and Handset.
Many of his studies on Wireless sensor network apply to Real-time computing as well.
Mark Hansen combines subjects such as Granularity and Server with his study of Information retrieval.
His World Wide Web research incorporates elements of Iterative search, Labeled data and Relevance.
His Embedded system research is multidisciplinary, incorporating perspectives in Mobile phone, Decision tree, Accelerometer, Mobile search and Focus.
His most cited work include:
- Using mobile phones to determine transportation modes (646 citations)
- Model Selection and the Principle of Minimum Description Length (626 citations)
- PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (605 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Wireless sensor network, World Wide Web, Participatory sensing and Data mining.
His work deals with themes such as Process, Radius of curvature, Computer vision and Pattern recognition, which intersect with Artificial intelligence.
Mark Hansen works mostly in the field of Wireless sensor network, limiting it down to topics relating to Software deployment and, in certain cases, Wireless.
His work carried out in the field of World Wide Web brings together such families of science as Data stream mining and Information retrieval.
Participatory sensing is intertwined with Human–computer interaction, Knowledge management, Variety, Mobile device and Data collection in his study.
His work investigates the relationship between Human–computer interaction and topics such as Mobile search that intersect with problems in Mobile phone.
He most often published in these fields:
- Artificial intelligence (17.44%)
- Wireless sensor network (11.63%)
- World Wide Web (10.47%)
What were the highlights of his more recent work (between 2008-2011)?
- Internet privacy (6.98%)
- Information privacy (4.65%)
- Mobile phone (5.81%)
In recent papers he was focusing on the following fields of study:
His main research concerns Internet privacy, Information privacy, Mobile phone, Participatory sensing and Human–computer interaction.
In the field of Information privacy, his study on Privacy policy overlaps with subjects such as Trade secret.
His Mobile phone research is multidisciplinary, incorporating elements of World Wide Web, Usability, Mobile search, Data custodian and Information sensitivity.
Mark Hansen has included themes like Mobile technology and Embedded system in his Human–computer interaction study.
His Mobile technology study combines topics from a wide range of disciplines, such as User interface, Global Positioning System and Snapshot.
The concepts of his Embedded system study are interwoven with issues in Wireless sensor network, Handset, Accelerometer, Focus and Hidden Markov model.
Between 2008 and 2011, his most popular works were:
- Using mobile phones to determine transportation modes (646 citations)
- PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (605 citations)
- Sensor network data fault types (267 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Operating system
- The Internet
Mark Hansen spends much of his time researching Wireless sensor network, Embedded system, Human–computer interaction, Fault indicator and Data integrity.
His Wireless sensor network study integrates concerns from other disciplines, such as Decision tree, Accelerometer, Mobile search, Focus and Hidden Markov model.
His Embedded system research incorporates elements of Mobile technology, Global Positioning System, Handset and Mobile phone.
Mark Hansen combines subjects such as User interface and Snapshot with his study of Human–computer interaction.
His Fault indicator study spans across into fields like Real-time computing, Fault, Feature set and Set.
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.
