ProfessorsProfessors of Blekinge Tekniska HögskolaBenny Lövström

Benny Lövström

Blekinge Tekniska Högskola

H-index: 12

Europe-Sweden

About Benny Lövström

Benny Lövström, With an exceptional h-index of 12 and a recent h-index of 9 (since 2020), a distinguished researcher at Blekinge Tekniska Högskola, specializes in the field of videokvalitet, bildbehandling, signalbehandling, telekommunikation, analys av trafikdata.

His recent articles reflect a diverse array of research interests and contributions to the field:

STEM Education: A Remote Laboratory Implementation in Physics Courses

A Median-Based Misery Index for Travel Time Reliability

Förstudie–Datadriven analys av restider

Modeling of road traffic flows in the neighboring regions

Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos

Reduced reference image and video quality assessments: review of methods

Benny Lövström Information

University	Blekinge Tekniska Högskola
Position	Docent i tillämpad signalbehandling
Citations(all)	990
Citations(since 2020)	356
Cited By	775
hIndex(all)	12
hIndex(since 2020)	9
i10Index(all)	14
i10Index(since 2020)	8
Email	Access Email
University Profile Page	Blekinge Tekniska Högskola
Google Scholar	View Google Scholar Profile

Benny Lövström Skills & Research Interests

videokvalitet

bildbehandling

signalbehandling

telekommunikation

analys av trafikdata

Top articles of Benny Lövström

Title	Journal	Author(s)	Publication Date
STEM Education: A Remote Laboratory Implementation in Physics Courses		Lena Claesson Benny Lövström	2023
A Median-Based Misery Index for Travel Time Reliability	Procedia Computer Science	Henrik Fredriksson Johan Holmgren Mattias Dahl Benny Lövström	2023/1/1
Förstudie–Datadriven analys av restider		Henrik Fredriksson Mattias Dahl Johan Holmgren Benny Lövström Johan Irvenå ...	2022
Modeling of road traffic flows in the neighboring regions	Procedia Computer Science	Henrik Fredriksson Mattias Dahl Benny Lövström Johan Holmgren Håkan Lennerstad	2022/1/1
Development and Optimization of Deep Learning Models for Weapon Detection in Surveillance Videos	Applied Sciences	Soban Ahmed Muhammad Tahir Bhatti Muhammad Gufran Khan Benny Lövström Muhammad Shahid	2022/1
Reduced reference image and video quality assessments: review of methods		Shahi Dost Faryal Saud Maham Shabbir Muhammad Gufran Khan Muhammad Shahid ...	2022/12