Niklas Bergström

522 citations
26 papers · 325 · h-index 10

Impact in

Papers in

Niklas Bergström

24 papers receiving 295 citations

Peers

Niklas Bergström
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 177
  • Human-Computer Interaction 36
  • Control and Systems Engineering 133
  • Aerospace Engineering 94
  • Industrial and Manufacturing Engineering 26
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Miti Ruchanurucks Thailand
Stefano Michieletto Italy
Claire Dune France
Shunsuke Kudoh Japan
Dov Katz United States
J. Heinzmann Australia
Zhixing Xue Germany
Georg Arbeiter Germany
Anthony Remazeilles Spain
Emre Başeski Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Niklas Bergström

Since Specialization
Citations

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

Fields of papers citing papers by Niklas Bergström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201166
2 200842
3 201334
4 201830
5 201120
6 201517
7 201017
8 201016
9 201614
10 201613
11 20179
12 20118
13 20167
14
Gestalt Principles for Attention and Segmentation in Natural and Artificial Vision Systems
20117
15 20115
16 20125
17 20173
18 20163
19 20182
20 20132

About Niklas Bergström

Niklas Bergström is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Mechanical Engineering and Biomedical Engineering, having authored 26 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Robotics and Sensor-Based Localization (9 papers), Robot Manipulation and Learning (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Visual Attention and Saliency Detection (3 papers), Robotic Mechanisms and Dynamics (3 papers), Soft Robotics and Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Human-Computer Interaction (36 citations), Control and Systems Engineering (133 citations), Aerospace Engineering (94 citations) and Industrial and Manufacturing Engineering (26 citations). Niklas Bergström has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Danica Kragić, Masatoshi Ishikawa, Mårten Björkman, Yuji Yamakawa, Gert Kootstra, Taku Senoo, Hiroshi Ishiguro, Takayuki Kanda, Jeannette Bohg and Xavi Gratal. Their work appears in journals such as Disability and Rehabilitation Assistive Technology, Computer Vision and Image Understanding, Sensors, Advanced Robotics and The International Journal of Advanced Manufacturing 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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