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 Per Stenström sits on this spectrum.
This scientist: 311 publications — 76th percentile
76% 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 Per Stenström sits on this spectrum.
This scientist: 50 D-Index — 62nd percentile
62% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Per Stenström is affiliated with Chalmers University of Technology in Sweden. Their research work primarily involves several fields within computer science and engineering, with a focus on distributed and parallel computing systems, real-time systems scheduling, and hardware-related topics.
The main fields of study associated with Stenström include:
Within these broad fields, their research delves into specific subfields such as:
Their research topics are detailed through areas like:
Stenström's recent publications further reflect these themes, including:
The frequent co-authors with whom Stenström has collaborated include:
Publication venues prominently featuring Stenström's work are:
Stenström has been recognized with several awards during their career, including:
Reinhard Wilhelm;Jakob Engblom;Andreas Ermedahl;Niklas Holsti
P. Stenstrom
T. Lundqvist;P. Stenstrom
Silvia M. Müller;Per Stenström;Mateo Valero;Stamatis Vassiliadis
Per Stenström;Mats Brorsson;Lars Sandberg
Magnus Ekman;Per Stenstrom
F. Dahlgren;M. Dubois;P. Stenstrom
Per Stenström;Truman Joe;Anoop Gupta
Thomas Lundqvist;Per Stenström
Peter S. Magnusson;Fredrik Dahlgren;Håkan Grahn;Magnus Karlsson
Fredrik Dahlgren;Michel Dubois;Per Stenstrom
H. Dybdahl;P. Stenstrom
Ashley Saulsbury;Fredrik Dahlgren;Per Stenström
M. Karlsson;F. Dahlgren;P. Stenstrom
Michel Dubois;Jonas Skeppstedt;Livio Ricciulli;Krishnan Ramamurthy
Angelos Arelakis;Per Stenstrom
M. Brorsson;F. Dahlgren;H. Nilsson;P. Stenstrom
Magnus Ekman;Per Stenström;Fredrik Dahlgren
Thomas Lundqvist;Per Stenström
Michael J. Flynn;Oskar Mencer;Veljko Milutinovic;Goran Rakocevic
F. Dahlgren;P. Stenstrom
If you think any of the details on this page are incorrect, let us know.
Choosing the right degree in computer science can shape your professional trajectory, especially as the tech landscape rapidly evolves. Many students consider quick online degrees that pay well to fast-track their entry into the workforce. These programs are designed to be flexible and efficient, ideal for those seeking swift returns on their educational investment.
With advancements in technology, emerging fields like artificial intelligence are in high demand. Pursuing an artificial intelligence degree online offers specialized learning and prepares graduates for roles in machine learning, robotics, and data science.
Prospective students often weigh their options among the best degrees for long-term career growth and stability. For those balancing work or family obligations, looking into easy masters degrees can help open up career advancement opportunities without an overwhelming workload.
Exploring these diverse degrees helps you make informed choices that align with your career goals, whether you want a fast track to high-paying jobs or deeper specialization in cutting-edge fields.
Micron (United States)
Oak Ridge National Laboratory
German Cancer Research Center
University of Nebraska Medical Center
Baylor College of Medicine
University Medical Center Groningen
Utrecht University
American Museum of Natural History
Łódź University
Yale University
Washington University in St. Louis
Soochow University
Imperial College London
Shahid Beheshti University
Delft University of Technology
Appalachian State University
