The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Dean M. Tullsen sits on this spectrum.
This scientist: 191 publications — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Dean M. Tullsen sits on this spectrum.
This scientist: 61 D-Index — 79th percentile
79% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Dean M. Tullsen is affiliated with the University of California, San Diego in the United States. Their research primarily falls within the field of Computer Science, with a focus on subfields including Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Signal Processing, and Computer Vision and Pattern Recognition.
The main topics covered by their research include Security and Verification in Computing, Parallel Computing and Optimization Techniques, Advanced Malware Detection Techniques, Quantum Computing Algorithms and Architecture, Physical Unclonable Functions (PUFs) and Hardware Security, Optical Network Technologies, and Network Security and Intrusion Detection.
Recent papers authored or coauthored by Dean M. Tullsen include:
Dean M. Tullsen has frequently published in venues such as arXiv (Cornell University), Artifact Digital Object Group, IEEE Design and Test, IEEE Micro, and OPAL (Open@LaTrobe) (La Trobe University).
Frequent coauthors of Dean M. Tullsen include:
The scientist has been recognized by their peers with notable distinctions. They received the ACM Fellow award in 2011 for contributions to the architecture of high-performance processors, and the IEEE Fellow award in 2009 for contributions to the architecture of multithreaded and high-performance processors.
Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman
Dean M. Tullsen;Susan J. Eggers;Henry M. Levy
Dean M. Tullsen;Susan J. Eggers;Joel S. Emer;Henry M. Levy
Rakesh Kumar;Keith I. Farkas;Norman P. Jouppi;Parthasarathy Ranganathan
Allan Snavely;Dean M. Tullsen
Rakesh Kumar;Dean M. Tullsen;Parthasarathy Ranganathan;Norman P. Jouppi
S.J. Eggers;J.S. Emer;H.M. Leby;J.L. Lo
Rakesh Kumar;Victor Zyuban;Dean M. Tullsen
R. Kumar;D.M. Tullsen;N.P. Jouppi;P. Ranganathan
Jamison D. Collins;Hong Wang;Dean M. Tullsen;Christopher Hughes
Jack L. Lo;Joel S. Emer;Henry M. Levy;Rebecca L. Stamm
Dean M. Tullsen;Jeffery A. Brown
Brad Calder;Glenn Reinman;Dean M. Tullsen
Rakesh Kumar;Dean M. Tullsen;Norman P. Jouppi
Jamison D. Collins;Dean M. Tullsen;Hong Wang;John P. Shen
Vasileios Kontorinis;Liuyi Eric Zhang;Baris Aksanli;Jack Sampson
Allan Snavely;Dean M. Tullsen;Geoff Voelker
Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman
Carlos García Quiñones;Carlos Madriles;Jesús Sánchez;Pedro Marcuello
Henry M. Levy;Susan J. Eggers;Jack Lo;Dean M. Tullsen
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