Jens Lundström
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Industrial and Manufacturing Engineering top 10%
- Demography
- Co-authors
- Antanas VerikasMasashi KimuraChris NugentJesús FavelaIan McChesneyBert ArnrichAdas GelžinisMarija Bačauskienė
- Topics
- Context-Aware Activity Recognition Systems (12 papers)Industrial Vision Systems and Defect Detection (5 papers)Color Science and Applications (4 papers)
- Partner nations
- SwedenUnited KingdomLithuania
In The Last Decade
Jens Lundström
23 papers receiving 260 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 132
- Artificial Intelligence 77
- Computer Networks and Communications 56
- Industrial and Manufacturing Engineering 29
- Demography 25
Countries citing papers authored by Jens Lundström
This map shows the geographic impact of Jens Lundström'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 Jens Lundström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Lundström more than expected).
Fields of papers citing papers by Jens Lundström
This network shows the impact of papers produced by Jens Lundström. 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 Jens Lundström. The network helps show where Jens Lundström may publish in the future.
Co-authorship network of co-authors of Jens Lundström
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Lundström. A scholar is included among the top collaborators of Jens Lundström 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 Jens Lundström. Jens Lundström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 41 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 8 | |
| 13 | 32 | |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 9 | |
| 17 | 9 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 26 |
About Jens Lundström
Jens Lundström is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computer Science Applications, having authored 24 papers that have together received 274 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Industrial Vision Systems and Defect Detection (5 papers) and Color Science and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Transportation (21 citations) and Health Informatics (4 citations). Jens Lundström has collaborated with scholars based in Sweden, United Kingdom and Lithuania. Frequent co-authors include Antanas Verikas, Masashi Kimura, Chris Nugent, Jesús Favela, Ian McChesney, Bert Arnrich, Adas Gelžinis, Marija Bačauskienė, Jonathan Synnott and Ian Cleland. Their work appears in journals such as Expert Systems with Applications, Sensors and Knowledge-Based Systems.
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.