2026 David E. Culler: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	133	90	87	55	53	443	116234

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2005 - Member of the National Academy of Engineering For contributions to scalable parallel processing systems, including architectures, operating systems, and programming environments.
2002 - ACM Fellow For contributions to networks of small and large devices.

Overview

David E. Culler is affiliated with the University of California, Berkeley in the United States. Their research spans multiple disciplines within computer science and engineering, with a focus on networking, systems, and applied technologies. The primary fields of study associated with their work are Computer Science and Engineering.

The main subfields of study for David E. Culler include:

Computer Networks and Communications
Information Systems
Artificial Intelligence
Electrical and Electronic Engineering
Automotive Engineering

Their research covers a range of topics, particularly emphasizing:

Caching and Content Delivery
Cloud Computing and Resource Management
Blockchain Technology Applications and Security
Opportunistic and Delay-Tolerant Networks
Internet Traffic Analysis and Secure E-voting
Energy Efficient Wireless Sensor Networks
Mobile Ad Hoc Networks

David E. Culler has multiple recent publications in respected venues. Selected recent papers include:

"Core Concepts, Challenges, and Future Directions in Blockchain," 2020, ACM Computing Surveys
"Revitalizing the public internet by making it extensible," 2021, ACM SIGCOMM Computer Communication Review
"PC-RPL," 2020, ACM Transactions on Sensor Networks
"Formalizing Tag-Based Metadata With the Brick Ontology," 2020, Frontiers in Built Environment
"A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons," 2020, Advances in Building Energy Research

Frequent co-authors collaborating with David E. Culler include:

Sam Kumar
Athanasios Aris Panagopoulos
Filippos Christianos
Michail Katsigiannis
Konstantinos Mykoniatis

Their work has been published repeatedly in venues such as:

arXiv (Cornell University)
ACM Computing Surveys
ACM SIGCOMM Computer Communication Review
ACM Transactions on Sensor Networks
Frontiers in Built Environment

David E. Culler has received recognition for their contributions to the field, including awards such as:

Member of the National Academy of Engineering (2005) for contributions to scalable parallel processing systems, including architectures, operating systems, and programming environments
ACM Fellow (2002) for contributions to networks of small and large devices

Best Publications

Wireless sensor networks for habitat monitoring

Alan Mainwaring;David Culler;Joseph Polastre;Robert Szewczyk

6311
Citations
SPINS: security protocols for sensor networks

Adrian Perrig;Robert Szewczyk;J. D. Tygar;Victor Wen

6122
Citations
System architecture directions for networked sensors

Jason Hill;Robert Szewczyk;Alec Woo;Seth Hollar

5532
Citations
Versatile low power media access for wireless sensor networks

Joseph Polastre;Jason Hill;David Culler

4868
Citations
SPINS: security protocols for sensor networks

Adrian Perrig;Robert Szewczyk;Victor Wen;David Culler

4265
Citations
TOSSIM: accurate and scalable simulation of entire TinyOS applications

Philip Levis;Nelson Lee;Matt Welsh;David Culler

3256
Citations
Guest Editors' Introduction: Overview of Sensor Networks

D. Culler;D. Estrin;M. Srivastava

3125
Citations
The nesC language: a holistic approach to networked embedded systems

Philip Levis;Robert von Behren;Matt Welsh

2900
Citations
Parallel Computer Architecture: A Hardware/Software Approach

David E. Culler;Anoop Gupta;Jaswinder Pal Singh

2846
Citations
Telos: enabling ultra-low power wireless research

Joseph Polastre;Robert Szewczyk;David Culler

2669
Citations
Active messages: a mechanism for integrated communication and computation

Thorsten von Eicken;David E. Culler;Seth Copen Goldstein;Klaus Erik Schauser

2553
Citations
LogP: towards a realistic model of parallel computation

David Culler;Richard Karp;David Patterson;Abhijit Sahay

2489
Citations
Taming the underlying challenges of reliable multihop routing in sensor networks

Alec Woo;Terence Tong;David Culler

2379
Citations
TinyOS: An Operating System for Sensor Networks

Philip Alexander Levis;Samuel Madden;Joseph Polastre;Robert Szewczyk

2377
Citations
The ganglia distributed monitoring system: design, implementation, and experience

Matthew L. Massie;Brent N. Chun;David E. Culler

1999
Citations
Mica: a wireless platform for deeply embedded networks

J.L. Hill;D.E. Culler

1735
Citations
The nesC language: A holistic approach to networked embedded systems

Unknown

1652
Citations
Maté: a tiny virtual machine for sensor networks

Philip Levis;David Culler

1631
Citations
A case for NOW (Networks of Workstations)

T.E. Anderson;D.E. Culler;D. Patterson

1582
Citations
PlanetLab: an overlay testbed for broad-coverage services

Brent Chun;David Culler;Timothy Roscoe;Andy Bavier

1559
Citations
Active Messages: a Mechanism for Integrated Communication and

Thorsten von Eicken;David E. Culler;Seth C Goldstein;Klaus E Schauser

65
Citations

Frequent Co-Authors

Prabal Dutta University of California, Berkeley

Jonathan W. Hui Google (United States)

Philip Levis Stanford University

Randy H. Katz University of California, Berkeley

Kamin Whitehouse University of Virginia

Matt Welsh Fixie.ai

Eric Brewer University of California, Berkeley

Scott Shenker University of California, Berkeley

Thomas Anderson University of Washington

Seth Copen Goldstein Carnegie Mellon University

External Links

Personal website of David E. Culler Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online education can open new doors for those pursuing Computer Science or related fields in the USA. Diverse online degree options exist to suit different career ambitions, time frames, and budgets.

If you’re seeking advanced qualifications, the cheapest doctoral programs can make it more affordable to earn a PhD or doctorate in your field. For educators or those interested in quick advancement, consider the fastest online edd programs which offer a fast track to an EdD degree.

For those looking to start their careers quickly, a 6 month associate degree online can provide essential skills in less than a year. Business-minded students can also benefit from an online business degree with financial aid, helping to minimize costs while preparing for technology-focused business roles.

These online programs offer flexibility, affordability, and the chance to accelerate your entry into the workforce—key advantages for today’s aspiring Computer Science professionals.