H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 8,498 79 World Ranking 8613 National Ranking 4000

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Operating system
  • Computer network

Jeff Burke mostly deals with Participatory sensing, World Wide Web, Mobile phone, Human–computer interaction and Content based networking. His studies deal with areas such as Data stream mining, Privacy policy, Usability, Data custodian and Information sensitivity as well as World Wide Web. The concepts of his Mobile phone study are interwoven with issues in Decision tree, Upload, Hidden Markov model and Accelerometer.

Jeff Burke has researched Human–computer interaction in several fields, including User interface, Software system and Embedded system. His Content based networking research is multidisciplinary, incorporating perspectives in Network architecture, Content centric, Content centric networking and Information-centric networking. He undertakes multidisciplinary studies into Network architecture and Implementation in his work.

His most cited work include:

  • Named data networking (1380 citations)
  • Named Data Networking (NDN) Project (819 citations)
  • Using mobile phones to determine transportation modes (646 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns World Wide Web, Computer network, Participatory sensing, Computer security and Content based networking. Jeff Burke interconnects Control and Network packet in the investigation of issues within World Wide Web. His Computer security research includes elements of Data exchange, The Internet, Content centric networking and Host.

His Content based networking research incorporates themes from Routing and Content centric. His Wireless sensor network research also works with subjects such as

  • Embedded system which connect with Focus,
  • Ubiquitous computing, which have a strong connection to Multimedia. His Human–computer interaction study incorporates themes from User interface and Tracking data.

He most often published in these fields:

  • World Wide Web (22.12%)
  • Computer network (20.35%)
  • Participatory sensing (18.58%)

What were the highlights of his more recent work (between 2016-2021)?

  • Computer network (20.35%)
  • Content based networking (15.04%)
  • Multimedia (15.04%)

In recent papers he was focusing on the following fields of study:

Computer network, Content based networking, Multimedia, Network architecture and Synchronization are his primary areas of study. His Content based networking research integrates issues from Device to device, Phase and Documentation. His Multimedia research incorporates elements of Protocol stack, World Wide Web, Virtual reality and Control.

His research in World Wide Web intersects with topics in Namespace, Network packet and Resilience. Network architecture is a primary field of his research addressed under Computer security. In his study, Jeff Burke carries out multidisciplinary Synchronization and Implementation research.

Between 2016 and 2021, his most popular works were:

  • A Brief Introduction to Named Data Networking (36 citations)
  • Towards Edge Computing over Named Data Networking (24 citations)
  • Breaking out of the Cloud: Local Trust Management and Rendezvous in Named Data Networking of Things (16 citations)

In his most recent research, the most cited papers focused on:

  • The Internet
  • Operating system
  • Computer network

The scientist’s investigation covers issues in Computer network, Network architecture, Augmented reality, Synchronization and Multicast. His study in Home automation extends to Computer network with its themes. His Network architecture study integrates concerns from other disciplines, such as Software architecture and The Internet.

His studies in Augmented reality integrate themes in fields like Network packet, Resilience, Multimedia, World Wide Web and Virtual reality. His Synchronization study combines topics in areas such as Interoperation, Trust management, Internet Protocol and Cloud computing. He has included themes like Content based networking and Subject in his Multicast study.

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

Named data networking

Lixia Zhang;Alexander Afanasyev;Jeffrey Burke;Van Jacobson.
acm special interest group on data communication (2014)

1475 Citations

Named Data Networking (NDN) Project

Lixia Zhang;Deborah Estrin;Jeffrey Burke;Van Jacobson.
(2010)

1030 Citations

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

Mobiscopes for Human Spaces

Tarek Abdelzaher;Yaw Anokwa;Peter Boda;Jeffrey A Burke.
IEEE Pervasive Computing (2007)

341 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

Participatory Sensing: A Citizen-Powered Approach to Illuminating the Patterns that Shape our World

Jeffrey Goldman;Katie Shilton;Jeffrey A. Burke;Deborah Estrin.
(2009)

243 Citations

Personal data vaults: a locus of control for personal data streams

Min Mun;Shuai Hao;Nilesh Mishra;Katie Shilton.
conference on emerging network experiment and technology (2010)

170 Citations

Determining transportation mode on mobile phones

S. Reddy;J. Burke;D. Estrin;M. Hansen.
international symposium on wearable computers (2008)

150 Citations

Securing building management systems using named data networking

Wentao Shang;Qiuhan Ding;Alessandro Marianantoni;Jeff Burke.
IEEE Network (2014)

138 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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Top Scientists Citing Jeff Burke

Lixia Zhang

Lixia Zhang

University of California, Los Angeles

Publications: 58

Beichuan Zhang

Beichuan Zhang

University of Arizona

Publications: 38

Tarek Abdelzaher

Tarek Abdelzaher

University of Illinois at Urbana-Champaign

Publications: 35

Nicholas D. Lane

Nicholas D. Lane

University of Cambridge

Publications: 34

Andrew T. Campbell

Andrew T. Campbell

Dartmouth College

Publications: 34

J.J. Garcia-Luna-Aceves

J.J. Garcia-Luna-Aceves

University of California, Santa Cruz

Publications: 33

Antonella Molinaro

Antonella Molinaro

University of Reggio Calabria

Publications: 30

Kadangode K. Ramakrishnan

Kadangode K. Ramakrishnan

University of California, Riverside

Publications: 28

Claudia Campolo

Claudia Campolo

University of Reggio Calabria

Publications: 26

Xiaoming Fu

Xiaoming Fu

University of Göttingen

Publications: 23

Mauro Conti

Mauro Conti

University of Padua

Publications: 23

Daqing Zhang

Daqing Zhang

Télécom SudParis

Publications: 22

Mani Srivastava

Mani Srivastava

University of California, Los Angeles

Publications: 22

Salil S. Kanhere

Salil S. Kanhere

UNSW Sydney

Publications: 22

Hongke Zhang

Hongke Zhang

Beijing Jiaotong University

Publications: 21

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