World's Best Scientists 2026 revealed!
Paul J.M. Havinga

Paul J.M. Havinga

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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
15740
World Ranking
3056
National Ranking
30

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Paul J.M. Havinga is affiliated with the University of Twente in the Netherlands. Their research covers various topics in engineering and computer science, with a focus on specialized subfields such as computer networks and communications, information systems, and electrical and electronic engineering.

The scientist's body of work spans main research topics including:

  • IoT and Edge/Fog Computing
  • Animal Behavior and Welfare Studies
  • Blockchain Technology Applications and Security
  • Veterinary Equine Medical Research
  • Sports Performance and Training
  • Non-Invasive Vital Sign Monitoring
  • Indoor and Outdoor Localization Technologies

Among recent papers authored by or involving Paul J.M. Havinga are:

  • "Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification," 2021, Sensors
  • "A review of state-of-the-art bicycle technologies affecting cycling safety: level of smartness and technology readiness," 2022, Transport Reviews
  • "Assessing the Health Impact of Disinfection Byproducts in Drinking Water," 2024, ACS ES&T Water
  • "Improving piglets health and well-being: A review of piglets health indicators and related sensing technologies," 2023, Smart Agricultural Technology
  • "Comparing Apples and Oranges in IoT Context: A Deep Dive Into Methods for Comparing IoT Platforms," 2020, IEEE Internet of Things Journal

Frequent co-authors collaborating with Paul J.M. Havinga include:

  • Alessandro Chiumento
  • Ehsan Sadeghi
  • Duc V. Le
  • Rob Bemthuis
  • Ikram Ullah

The scientist's publications appear frequently in venues such as:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Internet of Things Journal
  • Procedia Computer Science
  • Transport Reviews

Most of the scholarly output by Paul J.M. Havinga is concentrated in engineering and computer science fields, with a notable interest in the intersection of emerging technologies, such as IoT systems and edge computing architectures, and their applications in animal welfare and non-invasive monitoring.

Best Publications

  • Outlier Detection Techniques for Wireless Sensor Networks: A Survey

    Yang Zhang;Nirvana Meratnia;Paul Havinga

  • Fusion of smartphone motion sensors for physical activity recognition.

    Muhammad Shoaib;Stephan Bosch;Ozlem Durmaz Incel;Hans Scholten

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

    Akin Avci;Stephan Bosch;Mihai Marin-Perianu;Raluca Marin-Perianu

  • A survey of online activity recognition using mobile phones

    Muhammad Shoaib;Stephan Bosch;Ozlem Durmaz Incel;Hans Scholten

  • 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

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

    Muhammad Shoaib;Stephan Bosch;Ozlem Durmaz Incel;Hans Scholten

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

    Yee Wei Law;Marimuthu Palaniswami;Lodewijk Van Hoesel;Jeroen Doumen

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

    S. Dulman;T. Nieberg;J. Wu;P. Havinga

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

    Ozlem Durmaz Incel;Lodewijk van Hoesel;Pierre Jansen;Paul Havinga

  • MIRAI architecture for heterogeneous network

    Gang Wu;M. Mizuno;P.J.M. Havinga

  • Towards Physical Activity Recognition Using Smartphone Sensors

    Muhammad Shoaib;Hans Scholten;P. J. M. Havinga

  • Towards Smart Surroundings: Enabling Techniques and Technologies for Localization

    K. Kavitha Muthukrishnan;M.E.M. Lijding;Paul J.M. Havinga

  • Prolonging the lifetime of wireless sensor networks by cross-layer interaction

    L. van Hoesel;T. Nieberg;Jian Wu;P.J.M. Havinga

  • Range-Based localization in mobile sensor networks

    Bram Dil;Stefan Dulman;Paul Havinga

  • LKHW: a directed diffusion-based secure multicast scheme for wireless sensor networks

    R. Di Pietro;L.V. Mancini;Yee Wei Law;S. Etalle

  • Wireless sensor networks

    P. Havinga;J.C. Hou;Feng Zhao

  • Statistics-based outlier detection for wireless sensor networks

    Y. Zhang;N. A. S. Hamm;N. Meratnia;A. Stein

  • Distributed Event Detection in Wireless Sensor Networks for Disaster Management

    Majid Bahrepour;Nirvana Meratnia;Mannes Poel;Zahra Taghikhaki

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

    Yee Wei Law;Lodewijk van Hoesel;Jeroen Doumen;Pieter Hartel

  • RoADS: a road pavement monitoring system for anomaly detection using smart phones

    Fatjon Seraj;Berend Jan van der Zwaag;Arta Dilo;Tamara Luarasi

  • Distributed online outlier detection in wireless sensor networks using ellipsoidal support vector machine

    Yang Zhang;Nirvana Meratnia;Paul J.M. Havinga

Frequent Co-Authors

Nirvana Meratnia
Nirvana Meratnia University of Twente
Gerard J. M. Smit
Gerard J. M. Smit University of Twente
Pieter H. Hartel
Pieter H. Hartel Delft University of Technology
Johann L. Hurink
Johann L. Hurink University of Twente
Roshanak Darvishzadeh
Roshanak Darvishzadeh University of Twente
Daniel Roggen
Daniel Roggen University of Sussex
Michele Zorzi
Michele Zorzi University of Padua
Gerard J. M. Smit
Gerard J. M. Smit University of Twente
Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne

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