Jim Tørresen
Impact in
- Hardware and Architecture top 2%
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
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- Evolutionary Algorithms and Applications 22
- Reinforcement Learning in Robotics 13
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- Context-Aware Activity Recognition Systems 16
- Co-authors
- Dirk Koch (23 shared papers)Md. Zia Uddin (28 shared papers)Kyrre Glette (38 shared papers)Weria Khaksar (20 shared papers)Enrique Garcia-Ceja (8 shared papers)Michael A. Riegler (11 shared papers)Christian Beckhoff (11 shared papers)Tine Nordgreen (10 shared papers)
- Journals
- IEEE Access (3 papers)Journal of Intelligent & Robotic Systems (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Computer (2 papers)
- Partner nations
- NorwayUnited KingdomJapan
In The Last Decade
Jim Tørresen
199 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 152
- Hardware and Architecture 446
- Applied Psychology 186
- Computer Vision and Pattern Recognition 700
- Experimental and Cognitive Psychology 362
- Artificial Intelligence 739
Countries citing papers authored by Jim Tørresen
This map shows the geographic impact of Jim Tørresen'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 Jim Tørresen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Tørresen more than expected).
Fields of papers citing papers by Jim Tørresen
This network shows the impact of papers produced by Jim Tørresen. 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 Jim Tørresen. The network helps show where Jim Tørresen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Tørresen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 211 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 225 | |
| 2 | 2011 | 122 | |
| 3 | 2018 | 111 | |
| 4 | 2018 | 95 | |
| 5 | 2012 | 92 | |
| 6 | 2005 | 84 | |
| 7 | 2011 | 77 | |
| 8 | 2017 | 70 | |
| 9 | 2012 | 69 | |
| 10 | 2018 | 65 | |
| 11 | 2017 | 65 | |
| 12 | 2021 | 61 | |
| 13 | 2018 | 50 | |
| 14 | 2020 | 49 | |
| 15 | 2011 | 47 | |
| 16 | 2020 | 44 | |
| 17 | 2011 | 39 | |
| 18 | 2015 | 37 | |
| 19 | 2021 | 33 | |
| 20 | 2018 | 33 |
About Jim Tørresen
Jim Tørresen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 211 papers that have together received 2.7k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (28 papers), Evolutionary Algorithms and Applications (22 papers), Social Robot Interaction and HRI (17 papers), Context-Aware Activity Recognition Systems (16 papers), Interconnection Networks and Systems (15 papers), Reinforcement Learning in Robotics (13 papers), Robotics and Sensor-Based Localization (12 papers) and Music and Audio Processing (12 papers). The work is most often cited by research in Hardware and Architecture (446 citations), Applied Psychology (186 citations), Computer Vision and Pattern Recognition (700 citations), Experimental and Cognitive Psychology (362 citations) and Artificial Intelligence (739 citations). Jim Tørresen has collaborated with scholars based in Norway, United Kingdom and Japan. Frequent co-authors include Dirk Koch, Md. Zia Uddin, Kyrre Glette, Weria Khaksar, Enrique Garcia-Ceja, Michael A. Riegler, Christian Beckhoff, Tine Nordgreen, Petter Jakobsen and Ketil J. Øedegaard. Their work appears in journals such as IEEE Access, Journal of Intelligent & Robotic Systems, PLoS ONE, Scientific Reports and Computer.
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.