Johan Fredriksson

636 citations
36 papers · 315 indexed · h-index 10

Johan Fredriksson

30 papers receiving 262 citations

Peers

Johan Fredriksson
Comparison fields: 5 of 51
  • Software 66
  • Hardware and Architecture 101
  • Artificial Intelligence 111
  • Computer Vision and Pattern Recognition 67
  • Information Systems 55
Replace Filipe Moutinho with:
Filipe Moutinho Portugal
Charles Lesire France
Fernando Gustavo Tinetti Argentina
Christoph Torens Germany
Youssef Saab United States
Nathan Thomas United Kingdom
Shigeru Imai United States
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Ted Hart United States
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Citations per year

Countries citing papers authored by Johan Fredriksson

Since Specialization
Citations

This map shows the geographic impact of Johan Fredriksson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Johan Fredriksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Fredriksson more than expected).

Fields of papers citing papers by Johan Fredriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Fredriksson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Johan Fredriksson. The network helps show where Johan Fredriksson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Johan Fredriksson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Johan Fredriksson Line = papers co-authored together Johan Fredriksson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20222
2
Attendance Numbers at SI Sessions and Their Effect on Learning Conditions.
20201
3
Impact of Supplemental Instruction on dropout and graduation rates: an example from 5-year engineering programs
201811
4 201613
5 201613
6
Good Features for Reliable Registration in Multi-Atlas Segmentation
20159
7 20110
8 20097
9 200722
10
Contract-Based Reusable Analysis for Software Components with Extra-Functional Properties
20071
11 200713
12
Predicting execution-time for variable behaviour embedded real-time components
20062
13
Industrial Requirements on Component Technologies for Vehicular Control Systems
20060
14
Handling Subsystems using the SaveComp Component Technology
20061
15 20066
16
Component-based context dependent hybrid property prediction
20057
17
Transformation of component models to real-time models
20051
18 200425
19
Förbättrade metoder vid användning av 3D-mätramar
20011
20 20001

About Johan Fredriksson

Johan Fredriksson is a scholar working on Hardware and Architecture, Software and Artificial Intelligence, having authored 36 papers that have together received 315 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (18 papers), Advanced Software Engineering Methodologies (16 papers), Embedded Systems Design Techniques (7 papers), Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers), Software Reliability and Analysis Research (3 papers), Software System Performance and Reliability (3 papers) and Optical measurement and interference techniques (3 papers). The work is most often cited by research in Software (66 citations), Hardware and Architecture (101 citations) and Artificial Intelligence (111 citations). Johan Fredriksson has collaborated with scholars based in Sweden, Italy and United States. Frequent co-authors include Anders Møller, Mikael Nolin, Viktor Larsson, Fredrik Kahl, Massimo Tivoli, Johan Oja, Jan Carlson, Rikard Land, Hans Hansson and Paul Pettersson. Their work appears in journals such as Image and Vision Computing, Journal of Systems and Software, NeuroImage, Scandinavian Journal of Forest Research and The Journal of Object Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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