Thomas Hellström
Impact in
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
- Plant Science top 5%
- Smart Agriculture and AI
Papers in
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- Reinforcement Learning in Robotics 13
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- Robot Manipulation and Learning 15
- Robotics and Automated Systems 8
- Co-authors
- Ola Ringdahl (22 shared papers)Suna Bensch (17 shared papers)Lars Bengtsson (1 shared paper)Erik Billing (7 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
79 papers receiving 1.2k citations
Thomas Hellström's Hit Papers
Peers
Comparison fields: 5 of 113
- Environmental Engineering 155
- Plant Science 358
- Computer Vision and Pattern Recognition 189
- Safety Research 76
- Control and Systems Engineering 209
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 84 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 | 306 |
| 2 | 1992 | 91 | |
| 3 | 2018 | 78 | |
| 4 | 2012 | 72 | |
| 5 | 2009 | 50 | |
| 6 | 1996 | 44 | |
| 7 | 2008 | 43 | |
| 8 | Estimating the position of the harvester head : a key step towards the precision forestry of the future? | 2015 | 42 |
| 9 | 2010 | 42 | |
| 10 | 2013 | 32 | |
| 11 | 2011 | 27 | |
| 12 | 2018 | 22 | |
| 13 | 2012 | 21 | |
| 14 | 2012 | 21 | |
| 15 | 2015 | 21 | |
| 16 | 2006 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2010 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2005 | 17 |
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 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Reinforcement Learning in Robotics (13 papers), Robotic Path Planning Algorithms (12 papers), Social Robot Interaction and HRI (10 papers), Remote Sensing and LiDAR Applications (9 papers), Modular Robots and Swarm Intelligence (8 papers), Robotics and Automated Systems (8 papers) and Forest Biomass Utilization and Management (8 papers). The work is most often cited by research in Environmental Engineering (155 citations), Plant Science (358 citations), Computer Vision and Pattern Recognition (189 citations), Safety Research (76 citations) and Control and Systems Engineering (209 citations). Thomas Hellström has collaborated with scholars based in Sweden, Spain and Germany. Frequent co-authors include Ola Ringdahl, Suna Bensch, Lars Bengtsson, Erik Billing, Ola Lindroos, Yael Edan, J. Hemming, R. Barth, Ohad Ben‐Shahar and Boaz Arad. Their work appears in journals such as Electronics, Journal of Terramechanics, Ethics and Information Technology, SAE technical papers on CD-ROM/SAE technical paper series and Applied Sciences.
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.