H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 58 Citations 12,774 353 World Ranking 1830 National Ranking 17

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Operating system
  • Artificial intelligence

Wireless sensor network, Computer network, Key distribution in wireless sensor networks, Wireless network and Activity recognition are his primary areas of study. Paul J.M. Havinga interconnects Distributed computing, Data mining, Computer security, Sensor node and Real-time computing in the investigation of issues within Wireless sensor network. He has included themes like Wireless and Reverse Address Resolution Protocol in his Computer network study.

Paul J.M. Havinga works mostly in the field of Key distribution in wireless sensor networks, limiting it down to topics relating to Network Access Control and, in certain cases, Computer security model. In his research on the topic of Wireless network, Multimedia, Ubiquitous computing, Sensor array and Algorithm is strongly related with Mobile computing. His Activity recognition research incorporates themes from Mobile phone, Segmentation and Accelerometer.

His most cited work include:

  • Outlier Detection Techniques for Wireless Sensor Networks: A Survey (558 citations)
  • Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey (321 citations)
  • A survey of online activity recognition using mobile phones (311 citations)

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

His primary areas of study are Wireless sensor network, Computer network, Key distribution in wireless sensor networks, Wireless and Real-time computing. The concepts of his Wireless sensor network study are interwoven with issues in Distributed computing, Data mining, Sensor node, Embedded system and Efficient energy use. His Data mining study incorporates themes from Machine learning and Artificial intelligence.

His research integrates issues of Dissemination and Wireless network in his study of Computer network. His studies in Key distribution in wireless sensor networks integrate themes in fields like Data aggregator and Wi-Fi array. Paul J.M. Havinga works mostly in the field of Wireless, limiting it down to topics relating to Mobile computing and, in certain cases, Multimedia, as a part of the same area of interest.

He most often published in these fields:

  • Wireless sensor network (46.56%)
  • Computer network (39.04%)
  • Key distribution in wireless sensor networks (23.59%)

What were the highlights of his more recent work (between 2014-2021)?

  • Wireless sensor network (46.56%)
  • Computer network (39.04%)
  • Wireless (18.37%)

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

The scientist’s investigation covers issues in Wireless sensor network, Computer network, Wireless, Real-time computing and Artificial intelligence. His Wireless sensor network study combines topics from a wide range of disciplines, such as Key distribution in wireless sensor networks, Embedded system, Intelligent decision support system, Scheduling and Efficient energy use. His Computer network research focuses on Dissemination and how it connects with Beacon.

His work deals with themes such as Context awareness, Antenna and Access control, which intersect with Wireless. The Real-time computing study combines topics in areas such as Multilateration, Android, Testbed, RSS and Compressed sensing. His Artificial intelligence research incorporates elements of Machine learning and Pattern recognition.

Between 2014 and 2021, his most popular works were:

  • A survey of online activity recognition using mobile phones (311 citations)
  • Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors (178 citations)
  • RoADS: a road pavement monitoring system for anomaly detection using smart phones (65 citations)

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

  • Computer network
  • Operating system
  • Artificial intelligence

Paul J.M. Havinga mainly focuses on Activity recognition, Computer network, Artificial intelligence, Wireless and Simulation. His Activity recognition research includes themes of Overfitting, Mobile phone, Accelerometer, Smartwatch and Robustness. His research in LPWAN and Wireless sensor network are components of Computer network.

The study incorporates disciplines such as Intelligent decision support system, WirelessHART and Network management in addition to Wireless sensor network. His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Computer vision and Pattern recognition. His studies deal with areas such as Dissemination, Mobile device and Beacon as well as Wireless.

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

Outlier Detection Techniques for Wireless Sensor Networks: A Survey

Yang Zhang;Nirvana Meratnia;Paul Havinga.
IEEE Communications Surveys and Tutorials (2010)

857 Citations

Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey

Akin Avci;Stephan Bosch;Mihai Marin-Perianu;Raluca Marin-Perianu.
arcs workshops (2010)

568 Citations

A survey of online activity recognition using mobile phones

Muhammad Shoaib;Stephan Bosch;Ozlem Durmaz Incel;Hans Scholten.
Sensors (2015)

467 Citations

A Lightweight Medium Access Protocol (LMAC) for Wireless Sensor Networks: Reducing Preamble Transmissions and Transceiver State Switches

L.F.W. van Hoesel;Paul J.M. Havinga.
INSS'04: Proceedings of the INSS'04 (2004)

456 Citations

Fusion of smartphone motion sensors for physical activity recognition.

Muhammad Shoaib;Stephan Bosch;Ozlem Durmaz Incel;Hans Scholten.
Sensors (2014)

392 Citations

Energy-efficient link-layer jamming attacks against wireless sensor network MAC protocols

Yee Wei Law;Marimuthu Palaniswami;Lodewijk Van Hoesel;Jeroen Doumen.
ACM Transactions on Sensor Networks (2009)

379 Citations

Trade-off between traffic overhead and reliability in multipath routing for wireless sensor networks

S. Dulman;T. Nieberg;J. Wu;P. Havinga.
wireless communications and networking conference (2003)

319 Citations

MC-LMAC: A multi-channel MAC protocol for wireless sensor networks

Ozlem Durmaz Incel;Lodewijk van Hoesel;Pierre Jansen;Paul Havinga.
ad hoc networks (2011)

283 Citations

MIRAI architecture for heterogeneous network

Gang Wu;M. Mizuno;P.J.M. Havinga.
IEEE Communications Magazine (2002)

279 Citations

Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors

Muhammad Shoaib;Stephan Bosch;Ozlem Durmaz Incel;Hans Scholten.
Sensors (2016)

266 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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