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 Ed F. Deprettere sits on this spectrum.
This scientist: 223 publications — 54th percentile
54% 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 Ed F. Deprettere sits on this spectrum.
This scientist: 40 D-Index — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
His primary areas of investigation include Computer architecture, Signal processing, Design space exploration, Embedded system and Electronic system-level design and verification. His Computer architecture research includes themes of Database-centric architecture and Kahn process networks. His study in Kahn process networks is interdisciplinary in nature, drawing from both MATLAB and Process.
His work carried out in the field of Signal processing brings together such families of science as Algorithm, Speech recognition, Sensor array and Computer engineering. When carried out as part of a general Algorithm research project, his work on Estimation theory is frequently linked to work in Azimuth, therefore connecting diverse disciplines of study. His work on System on a chip and Field-programmable gate array is typically connected to Abstraction as part of general Embedded system study, connecting several disciplines of science.
His scientific interests lie mostly in Parallel computing, Algorithm, Signal processing, Very-large-scale integration and Embedded system. His Parallel computing research integrates issues from Model of computation, Process and Compiler. His studies deal with areas such as Theoretical computer science and Mathematical optimization as well as Algorithm.
His work deals with themes such as Adaptive filter, Sensor array and Computer engineering, which intersect with Signal processing. His Embedded system research incorporates elements of Systems design and Computer architecture. Ed F. Deprettere has researched Computer architecture in several fields, including Multiprocessing, Reconfigurable computing and Design space exploration.
Ed F. Deprettere mostly deals with Embedded system, Computer architecture, Field-programmable gate array, Parallel computing and Kahn process networks. His Embedded system research is multidisciplinary, incorporating perspectives in Multiprocessing, MATLAB, Systems design and Signal processing. His Multiprocessing research is multidisciplinary, relying on both Electronic system-level design and verification, Design space exploration and Design flow.
His work deals with themes such as External memory interface, Reconfigurable computing, Systolic array and Set, which intersect with Computer architecture. He combines subjects such as Digital signal processing, Process and Executable with his study of Field-programmable gate array. His work carried out in the field of Parallel computing brings together such families of science as Model of computation, High-level synthesis and Compiler.
His primary scientific interests are in Embedded system, Multiprocessing, Computer architecture, Kahn process networks and Model of computation. His studies examine the connections between Multiprocessing and genetics, as well as such issues in Electronic system-level design and verification, with regards to Design specification. As a part of the same scientific family, he mostly works in the field of Computer architecture, focusing on Systems design and, on occasion, Application software.
His studies deal with areas such as Compiler, Overhead and Parallel computing as well as Model of computation. Ed F. Deprettere focuses mostly in the field of Process, narrowing it down to topics relating to Microprocessor and, in certain cases, Signal processing. His Signal processing study combines topics from a wide range of disciplines, such as Algorithm, Estimation theory and Mathematical optimization.
A.-J. Van Der Veen;E.F. Deprettere;A.L. Swindlehurst
B. Kienhuis;E. Deprettere;K. Vissers;P. Van Der Wolf
P. Lieverse;P. van der Wolf;E. Deprettere;K. Vissers
A.N. Lemma;A.-J. van der Veen;E.F. Deprettere
Todor Stefanov;Claudiu Zissulescu;Alexandru Turjan;Bart Kienhuis
Bart Kienhuis;Ed F. Deprettere;Pieter van der Wolf;Kees Vissers
Bart Kienhuis;Edwin Rijpkema;Ed Deprettere
A.J. van der Veen;P.B. Ober;E.F. Deprettere
Shuvra S. Bhattacharyya;Ed F. Deprettere;Rainer Leupers;Jarmo Takala
H. Nikolov;M. Thompson;T. Stefanov;A. Pimentel
H. Nikolov;T. Stefanov;E. Deprettere
Bart Kienhuis;Ed F. Deprettere;Pieter van der Wolf;Kees A. Vissers
Mark Thompson;Hristo Nikolov;Todor Stefanov;Andy D. Pimentel
A.N. Lemma;A.-J. van der Veen;E.F. Deprettere
Hristo Nikolov;Todor Stefanov;Ed Deprettere
Paul Lieverse;Todor Stefanov;Pieter van der Wolf;Ed Deprettere
Todor Stefanov;Bart Kienhuis;Ed Deprettere
Claudiu Zissulescu;Todor Stefanov;Bart Kienhuis;Ed Deprettere
J. Bu;E.F. Deprettere;P. Dewilde
J. Nieuwenhuijse;R. Heusens;Ed.F. Deprettere
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