World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6271
World Ranking
11576
National Ranking
4755

Overview

John Dunagan is affiliated with Microsoft in the United States. The association with this prominent technology company suggests involvement in research or development within the commercial technology sector.

There are no records currently available of recent papers authored by John Dunagan. Similarly, there is no specific data on frequent co-authors, which may indicate collaboration on a smaller scale or unpublished internal projects.

The lack of publications in any particular venues or book publishers means there is no detailed bibliographic footprint available for this individual. The absence of documented awards further emphasizes a profile without publicly recognized distinctions.

No detailed information is provided regarding John Dunagan's main fields of study, subfields, or specific topics of research focus. This suggests either a broad engagement without a specialized academic footprint or a primarily industry-based role without formal academic publication records.

Best Publications

  • SSCH: slotted seeded channel hopping for capacity improvement in IEEE 802.11 ad-hoc wireless networks

    Paramvir Bahl;Ranveer Chandra;John Dunagan

  • BrowserShield: Vulnerability-driven filtering of dynamic HTML

    Charles Reis;John Dunagan;Helen J. Wang;Opher Dubrovsky

  • Volley: automated data placement for geo-distributed cloud services

    Sharad Agarwal;John Dunagan;Navendu Jain;Stefan Saroiu

  • Strider: a black-box, state-based approach to change and configuration management and support

    Yi-Min Wang;Chad Verbowski;John Dunagan;Yu Chen

  • Bridging enterprise networks into cloud

    Parantap Lahiri;Parveen K. Patel;David A. Maltz;Albert Greenberg

  • Client-side load balancing

    Arne Josefsberg;John D. Dunagan;Mark D. Scheibel;Alastair Wolman

  • Characterizing botnets from email spam records

    Li Zhuang;John Dunagan;Daniel R. Simon;Helen J. Wang

  • Generic Application-Level Protocol Analyzer and its Language.

    Nikita Borisov;David Brumley;Helen J. Wang;John Dunagan

  • A simple polynomial-time rescaling algorithm for solving linear programs

    John Dunagan;Santosh Vempala_aff n

  • Browser protection module

    John Dunagan;Opher Dubrovsky;Saher Esmeir;Charles S Reis

  • Online ad serving

    Xiaofeng Fan;Helen J. Wang;John D. Dunagan;Mansoor A. Malik

  • Slotted seeded channel hopping for capacity improvement in wireless networks

    John D. Dunagan;Paramvir Bahl;Ranveer Chandra

  • Smoothed analysis of the perceptron algorithm for linear programming

    Avrim Blum;John Dunagan

  • Techniques for resource location and migration across data centers

    James R. Hamilton;Michael J. Manos;John D. Dunagan;Alastair Wolman

  • Scalable, fault tolerant notification method

    John Dunagan;Nicholas Harvey;Michael Jones;Marvin Theimer

  • Active learning framework for automatic field extraction from network traffic

    Sumit Basu;Karthik Gopalratnam;John David Dunagan;Jiahe Helen Wang

  • Client-side management of domain name information

    Arne Josefsberg;John D Dunagan;Mark D. Scheibel;Alastair Wolman

  • Method and system for analyzing the impact of a software update

    Bradford Ruffin Daniels;John Dunagan;Roussi A. Roussev;Chad E. Verbowski

  • A simple polynomial-time rescaling algorithm for solving linear programs

    John Dunagan;Santosh Vempala

  • Power Optimization Through Datacenter Client and Workflow Resource Migration

    John Dunagan;James R. Hamilton

Frequent Co-Authors

Helen J. Wang
Helen J. Wang Microsoft (United States)
Yi-Min Wang
Yi-Min Wang Microsoft (United States)
Sumit Basu
Sumit Basu Microsoft (United States)
Daniel R. Simon
Daniel R. Simon Microsoft (United States)
Alec Wolman
Alec Wolman Microsoft (United States)
Atul Adya
Atul Adya Google (United States)
Santosh Vempala
Santosh Vempala Georgia Institute of Technology
Marvin M. Theimer
Marvin M. Theimer Microsoft (United States)
Kevin Duh
Kevin Duh Johns Hopkins University
Daniel A. Spielman
Daniel A. Spielman Yale University

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree opens doors to a wide array of online programs and career options. Many students are now choosing online degrees that pay well to maximize both flexibility and earning potential. With the rapid growth in tech, areas like artificial intelligence are particularly promising.

Those interested in AI should explore the best online masters in ai for advanced skills and competitive salaries. When choosing your path, it’s vital to compare the best college degrees for job outlook and industry demand, as some majors align better with tech-driven careers.

If efficiency is a priority, students can also consider the easiest online masters degree options. These programs may enable you to upskill or switch fields quickly. Balancing cost, program length, and career goals will help you map out the best route within the dynamic world of computer science.

Best Scientists Citing John Dunagan

Trending Scientists

Recently Published Articles