Magnus Oskarsson

2.0k citations
68 papers · 1.2k indexed · h-index 17

Magnus Oskarsson

65 papers receiving 1.1k citations

Peers

Magnus Oskarsson
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 771
  • Computer Graphics and Computer-Aided Design 101
  • Aerospace Engineering 557
  • Geology 117
  • Computational Mechanics 170
Replace Robert Sablatnig with:
Robert Sablatnig Austria
Fernand S. Cohen United States
Koichiro Deguchi Japan
Niklas Peinecke Germany
C. Chamzas Greece
Haili Chui United States
Gérard Medioni United States
Frédéric Fol Leymarie United Kingdom
Quang-Tuan Luong France
Magnus Oskarsson relative to Robert Sablatnig Austria Robert Sablatnig's profile →
Citations per field
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Robert Sablatnig · 1×
Citations per year

Countries citing papers authored by Magnus Oskarsson

Since Specialization
Citations

This map shows the geographic impact of Magnus Oskarsson'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 Magnus Oskarsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magnus Oskarsson more than expected).

Fields of papers citing papers by Magnus Oskarsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magnus Oskarsson. 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 Magnus Oskarsson. The network helps show where Magnus Oskarsson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Magnus Oskarsson, 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 Magnus Oskarsson Line = papers co-authored together Magnus Oskarsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20231
5 20221
6 20221
7 20228
8 20214
9 202095
10 201946
11 20161
12 20166
13
Visual Entity Linking: A Preliminary Study
20143
14 201167
15 20061
16 200634
17
Solutions to Minimal Generalized Relative Pose Problems
200588
18
Structure and motion estimation from complex features in three views
20027
19 200027
20
Solutions and Ambiguities of the Structure and Motion Problem for 1D Retinal Vision
19996

About Magnus Oskarsson

Magnus Oskarsson is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (25 papers), Robotics and Sensor-Based Localization (19 papers), Indoor and Outdoor Localization Technologies (17 papers), Optical measurement and interference techniques (10 papers), Speech and Audio Processing (9 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Object Detection Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (771 citations), Computer Graphics and Computer-Aided Design (101 citations) and Aerospace Engineering (557 citations). Magnus Oskarsson has collaborated with scholars based in Sweden, United Kingdom and China. Frequent co-authors include Kalle Åström, Fredrik Kahl, Carl Olsson, Olof Enqvist, Viktor Larsson, D. Nistér, Henrik Stewénius, Dan‐Eric Nilsson, Anders Garm and Anders Heyden. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Current Biology.

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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