Pål Johan From
Impact in
- Plant Science top 2%
- Smart Agriculture and AI
- Plant Disease Management Techniques
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
-
- Robot Manipulation and Learning 17
- Robotic Mechanisms and Dynamics 17
- Dynamics and Control of Mechanical Systems 12
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- Smart Agriculture and AI 34
- Co-authors
- Lars GrimstadYa XiongYuanyue GeJan Tommy GravdahlVolkan IslerCheng PengKristin Y. PettersenAlex Mason
- Journals
- Computers and Electronics in Agriculture (4 papers)IEEE Access (3 papers)Journal of Field Robotics (3 papers)Robotics (2 papers)IEEE Transactions on Automation Science and Engineering (2 papers)
- Partner nations
- NorwayUnited KingdomBrazil
In The Last Decade
Pål Johan From
86 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Plant Science 999
- Control and Systems Engineering 414
- Computer Vision and Pattern Recognition 283
- Industrial and Manufacturing Engineering 112
- Analytical Chemistry 106
Countries citing papers authored by Pål Johan From
This map shows the geographic impact of Pål Johan From'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 Pål Johan From with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pål Johan From more than expected).
Fields of papers citing papers by Pål Johan From
This network shows the impact of papers produced by Pål Johan From. 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 Pål Johan From. The network helps show where Pål Johan From may publish in the future.
Co-authors
The 25 scholars most cited alongside Pål Johan From, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 7 | |
| 13 | 2015 | 5 | |
| 14 | 2015 | 27 | |
| 15 | 2014 | 1 | |
| 16 | 2012 | 10 | |
| 17 | 2010 | 39 | |
| 18 | 2010 | 19 | |
| 19 | 2008 | 1 | |
| 20 | 2007 | 8 |
About Pål Johan From
Pål Johan From is a scholar working on Control and Systems Engineering, Plant Science, Computer Vision and Pattern Recognition, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include Smart Agriculture and AI (34 papers), Robot Manipulation and Learning (17 papers), Robotic Mechanisms and Dynamics (17 papers), Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (13 papers), Dynamics and Control of Mechanical Systems (12 papers), Soft Robotics and Applications (12 papers) and Teleoperation and Haptic Systems (11 papers). The work is most often cited by research in Plant Science (999 citations), Control and Systems Engineering (414 citations), Computer Vision and Pattern Recognition (283 citations), Industrial and Manufacturing Engineering (112 citations) and Analytical Chemistry (106 citations). Pål Johan From has collaborated with scholars based in Norway, United Kingdom and Brazil. Frequent co-authors include Lars Grimstad, Ya Xiong, Yuanyue Ge, Jan Tommy Gravdahl, Volkan Isler, Cheng Peng, Kristin Y. Pettersen, Alex Mason, Antonio C. Leite and Richard J. D. Moore. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Access, Journal of Field Robotics, Robotics and IEEE Transactions on Automation Science and 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.