Joakim Johnander
- Artificial Intelligence
- Automotive Engineering
- Computer Vision and Pattern Recognition
- Aerospace Engineering
- Safety Research
- Co-authors
- David Fernández LlorcaSylwia MajchrowskaChristoffer PeterssonJörgen AhlbergAmanda BergMichael FelsbergMiguel Ángel SoteloMartin Danelljan
- Topics
- Autonomous Vehicle Technology and Safety (3 papers)Visual Attention and Saliency Detection (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Journals
- International Journal of Computer VisionTransportation Research Part C Emerging TechnologiesCAAI Transactions on Intelligence Technology
- Partner nations
- SwedenSpainSwitzerland
In The Last Decade
Joakim Johnander
8 papers receiving 52 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 20
- Automotive Engineering 18
- Computer Vision and Pattern Recognition 18
- Aerospace Engineering 6
- Safety Research 5
Countries citing papers authored by Joakim Johnander
This map shows the geographic impact of Joakim Johnander'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 Joakim Johnander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joakim Johnander more than expected).
Fields of papers citing papers by Joakim Johnander
This network shows the impact of papers produced by Joakim Johnander. 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 Joakim Johnander. The network helps show where Joakim Johnander may publish in the future.
Co-authorship network of co-authors of Joakim Johnander
This figure shows the co-authorship network connecting the top 25 collaborators of Joakim Johnander. A scholar is included among the top collaborators of Joakim Johnander 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 Joakim Johnander. Joakim Johnander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | Cyclist collision avoidance using imagery sensor | 1 |
| 8 | 18 |
About Joakim Johnander
Joakim Johnander is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 52 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Visual Attention and Saliency Detection (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Automotive Engineering (18 citations), Computer Vision and Pattern Recognition (18 citations) and Health Informatics (1 citation). Joakim Johnander has collaborated with scholars based in Sweden, Spain and Switzerland. Frequent co-authors include David Fernández Llorca, Sylwia Majchrowska, Christoffer Petersson, Jörgen Ahlberg, Amanda Berg, Michael Felsberg, Miguel Ángel Sotelo, Martin Danelljan, Birgitta Thorslund and Abdelrahman Eldesokey. Their work appears in journals such as International Journal of Computer Vision, Transportation Research Part C Emerging Technologies and CAAI Transactions on Intelligence 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.