Thomas Hellström
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Safety Research top 5%
Papers in
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- Reinforcement Learning in Robotics 15
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- Robot Manipulation and Learning 16
- Robotics and Automated Systems 8
- Co-authors
- Ola Ringdahl (26 shared papers)Suna Bensch (20 shared papers)Lars Bengtsson (1 shared paper)Erik Billing (8 shared papers)Ola Lindroos (6 shared papers)Yael Edan (4 shared papers)J. Hemming (3 shared papers)R. Barth (2 shared papers)
In The Last Decade
Thomas Hellström
95 papers receiving 1.4k citations
Thomas Hellström's Hit Papers
Peers
Comparison fields: 5 of 122
- Environmental Engineering 173
- Safety Research 91
- Control and Systems Engineering 249
- Computer Vision and Pattern Recognition 227
- Plant Science 386
Countries citing papers authored by Thomas Hellström
This map shows the geographic impact of Thomas Hellström'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 Thomas Hellström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hellström more than expected).
Fields of papers citing papers by Thomas Hellström
This network shows the impact of papers produced by Thomas Hellström. 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 Thomas Hellström. The network helps show where Thomas Hellström may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Hellström, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development of a sweet pepper harvesting robot Hit paper breakdown → | 2020 | 327 |
| 2 | 2018 | 97 | |
| 3 | 1992 | 93 | |
| 4 | 2012 | 88 | |
| 5 | 2009 | 52 | |
| 6 | 1996 | 47 | |
| 7 | 2010 | 47 | |
| 8 | 2008 | 45 | |
| 9 | Estimating the position of the harvester head : a key step towards the precision forestry of the future? | 2015 | 44 |
| 10 | 2013 | 32 | |
| 11 | 2011 | 30 | |
| 12 | 2017 | 26 | |
| 13 | 2006 | 25 | |
| 14 | 2015 | 24 | |
| 15 | 2012 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2012 | 22 | |
| 18 | 2021 | 22 | |
| 19 | 2006 | 21 | |
| 20 | 2010 | 21 |
About Thomas Hellström
Thomas Hellström is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Social Psychology and Mechanical Engineering, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (16 papers), Reinforcement Learning in Robotics (15 papers), Robotic Path Planning Algorithms (14 papers), Social Robot Interaction and HRI (12 papers), Remote Sensing and LiDAR Applications (10 papers), Modular Robots and Swarm Intelligence (9 papers), Forest Biomass Utilization and Management (9 papers) and Robotics and Automated Systems (8 papers). The work is most often cited by research in Environmental Engineering (173 citations), Safety Research (91 citations), Control and Systems Engineering (249 citations), Computer Vision and Pattern Recognition (227 citations) and Plant Science (386 citations). Thomas Hellström has collaborated with scholars based in Sweden, Germany and Spain. Frequent co-authors include Ola Ringdahl, Suna Bensch, Lars Bengtsson, Erik Billing, Ola Lindroos, Yael Edan, J. Hemming, R. Barth, J. Balendonck and Boaz Arad. Their work appears in journals such as Electronics, Springer tracts in advanced robotics, Journal of Terramechanics, AI & Society and Croatian journal of forest engineering.
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.