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 Kevin Jeffay sits on this spectrum.
This scientist: 132 publications — 19th percentile
19% 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 Kevin Jeffay sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Kevin Jeffay is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of computer science, with a focus on several specialized subfields including computer networks and communications, signal processing, statistical and nonlinear physics, and computer vision and pattern recognition.
The scientist's recent publication record includes work published through UNC Libraries. Notable papers are:
Frequent collaborators in Kevin Jeffay's research include F. Donelson Smith, Cheolwoo Park, Félix Hernández-Campos, J. S. Marron, and Donald S. Stone. These collaborations illustrate a multidisciplinary approach spanning various research themes.
The main research topics covered in their publications are diverse and technical, including:
Kevin Jeffay's work spans technical domains involving data transmission and processing. Topics like network traffic reflect studies in how data moves efficiently through networks, while peer-to-peer technologies signify interest in decentralized communication methods. Music, speech, and audio processing focus on the interpretation and manipulation of audio signals. Advanced data compression techniques relate to reducing data size while preserving necessary information, critical for efficient communication and storage.
The blend of subfields such as signal processing and computer vision alongside network communications suggests an interdisciplinary research approach intersecting hardware, algorithms, and systems designed for real-time multimedia applications.
K. Jeffay;D.F. Stanat;C.U. Martel
Mikkel Christiansen;Kevin Jeffay;David Ott;F. Donelson Smith
I. Stoica;H. Abdel-Wahab;K. Jeffay;S.K. Baruah
Kevin Jeffay;Donald L. Stone;F. Donelson Smith
F. Donelson Smith;Félix Hernández Campos;Kevin Jeffay;David Ott
Jin Cao;W.S. Cleveland;Yuan Gao;K. Jeffay
K. Jeffay;D. Stone
James H. Anderson;Srikanth Ramamurthy;Kevin Jeffay
Jay Aikat;Jasleen Kaur;F. Donelson Smith;Kevin Jeffay
Michele C. Weigle;Prashanth Adurthi;Félix Hernández-Campos;Kevin Jeffay
Long Le;Jay Aikat;Kevin Jeffay;F. Donelson Smith
K. Jeffay
Vachaspathi P. Kompella;James P. Gray;Frank D. Smith;Kevin Jeffay
K. Jeffay;F. Donelson Smith;A. Moorthy;J. Anderson
K. Jeffay;S. Goddard
Kevin Jeffay;David Bennett
I. Stoica;H. Abdel-Wahab;K. Jeffay
F. Hernandez-Campos;K. Jeffay;F.D. Smith
K. Jeffay;D. L. Stone;F. D. Smith
Kevin Jeffay;Donald L. Stone;Terry Talley;F. Donelson Smith
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