Kim Mathiassen

462 citations
22 papers · 287 indexed · h-index 6
Topics
Soft Robotics and Applications (10 papers)Robotics and Sensor-Based Localization (6 papers)Robotic Path Planning Algorithms (4 papers)
Partner nations
NorwayBelgiumPoland

In The Last Decade

Kim Mathiassen

21 papers receiving 281 citations

Peers

Kim Mathiassen
Comparison fields: 5 of 68
  • Biomedical Engineering 155
  • Computer Vision and Pattern Recognition 89
  • Control and Systems Engineering 62
  • Surgery 53
  • Aerospace Engineering 50
Replace Shijian Su with:
Shijian Su China
Martin Stommel New Zealand
Fangxun Zhong Hong Kong
Benjamin Maurin France
Chin-Boon Chng Singapore
Dong‐Geol Choi South Korea
Tai‐Lang Jong Taiwan
George P. Moustris Greece
Luca Rosario Buonocore Switzerland
Nima Fazeli United States
Kim Mathiassen relative to Shijian Su China Shijian Su's profile →
Citations per field
00.5×1.5×
Shijian Su · 1×
Citations per year

Countries citing papers authored by Kim Mathiassen

Since Specialization
Citations

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

Fields of papers citing papers by Kim Mathiassen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Mathiassen

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Mathiassen. A scholar is included among the top collaborators of Kim Mathiassen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Mathiassen. Kim Mathiassen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 7
4 3
5 4
6 1
7 1
8 4
9 4
10 32
11 58
12 1
13 1
14 3
15 1
16 2
17 112
18
Supplementary Material: An Ultrasound Robotic System Using the Commercial Robot UR5
2
19 28
20 4

About Kim Mathiassen

Kim Mathiassen is a scholar working on Computer Vision and Pattern Recognition, Gastroenterology and Aerospace Engineering, having authored 22 papers that have together received 287 indexed citations. Recurring topics across this work include Soft Robotics and Applications (10 papers), Robotics and Sensor-Based Localization (6 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Biomedical Engineering (155 citations) and Control and Systems Engineering (62 citations). Kim Mathiassen has collaborated with scholars based in Norway, Belgium and Poland. Frequent co-authors include Ole Jakob Elle, Kyrre Glette, Per Kristian Hol, Kristin Y. Pettersen, Diego Dall’Alba, Riccardo Muradore, Paolo Fiorini, Jim Tørresen, Ørjan G. Martinsen and Venkatasubramanian Kalpathy Venkiteswaran. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics.

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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