H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 34 Citations 8,418 74 World Ranking 6159 National Ranking 2969

Overview

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.

Top Publications

Using mobile phones to determine transportation modes

Sasank Reddy;Min Mun;Jeff Burke;Deborah Estrin.
ACM Transactions on Sensor Networks (2010)

915 Citations

PEIR, the personal environmental impact report, as a platform for participatory sensing systems research

Min Mun;Sasank Reddy;Katie Shilton;Nathan Yau.
international conference on mobile systems, applications, and services (2009)

861 Citations

Model Selection and the Principle of Minimum Description Length

Mark H Hansen;Bin Yu.
Journal of the American Statistical Association (2001)

842 Citations

Method for organizing records of database search activity by topical relevance

Mark H. Hansen;Elizabeth A. Shriver.
(2002)

627 Citations

System and method for providing interactive dialogue and iterative search functions to find information

Katherine G. August;Chin-Sheng Chuang;Michelle McNerney;Elizabeth A. Shriver.
(2000)

594 Citations

Polynomial splines and their tensor products in extended linear modeling: 1994 Wald memorial lecture

Charles J. Stone;Mark H. Hansen;Charles Kooperberg;Young K. Truong.
Annals of Statistics (1997)

521 Citations

Sensor network data fault types

Kevin Ni;Nithya Ramanathan;Mohamed Nabil Hajj Chehade;Laura Balzano.
ACM Transactions on Sensor Networks (2009)

412 Citations

Urban sensing: out of the woods

Dana Cuff;Mark Hansen;Jerry Kang.
Communications of The ACM (2008)

353 Citations

Nonlinear estimation and classification

David D. Denison;Mark H. Hansen;Christopher C. Holmes;Bani Mallick.
(2003)

323 Citations

Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype

Sasank Reddy;Andrew Parker;Josh Hyman;Jeff Burke.
ieee workshop on embedded networked sensors (2007)

317 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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