World's Best Scientists 2026 revealed!

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Computer Science

D-Index
79
Citations
57501
World Ranking
1110
National Ranking
591

Electronics and Electrical Engineering

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73
Citations
55156
World Ranking
734
National Ranking
323

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to sensor networks, internet measurement and simulation
  • 2007 - ACM Senior Member

Overview

John Heidemann is affiliated with the University of Southern California in the United States. Their research spans the field of Computer Science with a focus on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, and Sociology and Political Science. The scientist has an extensive publication record, contributing notably to topics such as Internet Traffic Analysis and Secure E-voting, Network Security and Intrusion Detection, IPv6, Mobility, Handover, Networks, and Security, Privacy-Preserving Technologies in Data, Privacy, Security, and Data Protection, Network Traffic and Congestion Control, and Software-Defined Networks and 5G.

Heidemann's work has been published in a variety of academic venues, including:

  • arXiv (Cornell University)
  • ACM SIGCOMM Computer Communication Review
  • Medizinrecht
  • IEEE/ACM Transactions on Networking
  • Proceedings of the ACM on Human-Computer Interaction

Frequent collaborators in their research efforts include Giovane C. M. Moura, Wes Hardaker, Guillermo Baltra, A. S. M. Rizvi, and Basileal Imana.

The following list details recent publications that reflect Heidemann's active contributions to their field:

  • Detecting IoT Devices in the Internet, 2020, IEEE/ACM Transactions on Networking
  • Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest, 2023, Proceedings of the ACM on Human-Computer Interaction
  • Vulnerability Disclosure Considered Stressful, 2023, ACM SIGCOMM Computer Communication Review
  • Workshop on Overcoming Measurement Barriers to Internet Research (WOMBIR 2021) final report, 2021, ACM SIGCOMM Computer Communication Review
  • Deep Dive into NTP Pool's Popularity and Mapping, 2024, Proceedings of the ACM on Measurement and Analysis of Computing Systems

Heidemann has been recognized with professional distinctions including being named an IEEE Fellow in 2014 for contributions to sensor networks, internet measurement, and simulation, and as an ACM Senior Member since 2007.

Best Publications

  • An energy-efficient MAC protocol for wireless sensor networks

    Wei Ye;J. Heidemann;D. Estrin

  • GPS-less low-cost outdoor localization for very small devices

    N. Bulusu;J. Heidemann;D. Estrin

  • Next century challenges: scalable coordination in sensor networks

    Deborah Estrin;Ramesh Govindan;John Heidemann;Satish Kumar

  • Geography-informed energy conservation for Ad Hoc routing

    Ya Xu;John Heidemann;Deborah Estrin

  • Medium access control with coordinated adaptive sleeping for wireless sensor networks

    Wei Ye;John Heidemann;Deborah Estrin

  • Directed diffusion for wireless sensor networking

    Chalermek Intanagonwiwat;Ramesh Govindan;Deborah Estrin;John Heidemann

  • Advances in network simulation

    L. Breslau;D. Estrin;K. Fall;S. Floyd

  • Research challenges and applications for underwater sensor networking

    J. Heidemann;Wei Ye;J. Wills;A. Syed

  • Underwater sensor networks: applications, advances and challenges

    John Heidemann;Milica Stojanovic;Michele Zorzi

  • Impact of network density on data aggregation in wireless sensor networks

    C. Intanagonwiwat;D. Estrin;R. Govindan;J. Heidemann

  • Building efficient wireless sensor networks with low-level naming

    John Heidemann;Fabio Silva;Chalermek Intanagonwiwat;Ramesh Govindan

  • RMST: Reliable Data Transport in Sensor Networks

    Fred Stann;John Heidemann

  • Ultra-low duty cycle MAC with scheduled channel polling

    Wei Ye;Fabio Silva;John Heidemann

  • A framework for classifying denial of service attacks

    Alefiya Hussain;John Heidemann;Christos Papadopoulos

  • Scalable Coordination for Wireless Sensor Networks: Self-Configuring Localization Systems

    Nirupama Bulusu;Deborah Estrin;Lewis Girod;John Heidemann

  • Adaptive beacon placement

    N. Bulusu;J. Heidemann;D. Estrin

  • Studying the feasibility of energy harvesting in a mobile sensor network

    M. Rahimi;H. Shah;G.S. Sukhatme;J. Heideman

  • Time Synchronization for High Latency Acoustic Networks

    A. A. Syed;J. Heidemann

  • Dimensions: why do we need a new data handling architecture for sensor networks?

    Deepak Ganesan;Deborah Estrin;John Heidemann

  • An Energy-Efficient MAC Protocol for Wireless Sensor Networks

    Wei Ye;John Heidemann;Deborah Estrin

  • Next Century Challenges: Mobile Networking for Smart Dust

    Deborah Estrin;Ramesh Govindan;John S. Heidemann;Satish Kumar

Frequent Co-Authors

Deborah Estrin
Deborah Estrin Cornell University
Ramesh Govindan
Ramesh Govindan University of Southern California
Gerald J. Popek
Gerald J. Popek University of California, Los Angeles
Deepak Ganesan
Deepak Ganesan University of Massachusetts Amherst
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California
Polly Huang
Polly Huang National Taiwan University
Urbashi Mitra
Urbashi Mitra University of Southern California
Ahmed Helmy
Ahmed Helmy University of North Carolina at Charlotte
Ashish Goel
Ashish Goel Stanford University
Mark Handley
Mark Handley University College London

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