Ola Ringdahl

31 papers receiving 723 citations

Ola Ringdahl's Hit Papers

Development of a sweet pepper harvesting robot 2020 · 306 citations
3060+2+4Years since publication100200300

Peers

Ola Ringdahl
Comparison fields: 5 of 76
  • Plant Science 419
  • Environmental Engineering 157
  • Geology 38
  • Computer Vision and Pattern Recognition 111
  • Mechanical Engineering 185
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Tomàs Pallejà Spain
Alessandro Biglia Italy
Dimitrios S. Paraforos Germany
Hak-Jin Kim South Korea
Scarlett Liu Australia
Lorenzo Comba Italy
Feng Kang China
Eduard Gregorio Spain
Huanyu Jiang China
Davide Ricauda Aimonino Italy
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Citations per year

Countries citing papers authored by Ola Ringdahl

Since Specialization
Citations

This map shows the geographic impact of Ola Ringdahl'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 Ola Ringdahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ola Ringdahl more than expected).

Fields of papers citing papers by Ola Ringdahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ola Ringdahl. 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 Ola Ringdahl. The network helps show where Ola Ringdahl may publish in the future.

Co-authors

The 25 scholars most cited alongside Ola Ringdahl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ola Ringdahl Line = papers co-authored together Ola Ringdahl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development of a sweet pepper harvesting robot
Hit paper breakdown →
2020306
2 200950
3 202048
4
Estimating the position of the harvester head : a key step towards the precision forestry of the future?
201542
5 201332
6 201127
7 201826
8
Automation in forestry : development of unmanned forwarders
201125
9 201822
10 201221
11 201221
12 201521
13 200620
14 201314
15
Using ROS for Agricultural Robotics - Design Considerations and Experiences
201413
16 201912
17 201912
18
CROPS : high tech agricultural robots
201411
19 200910
20
Techniques and Algorithms for Autonomous Vehicles in Forest Environment
20077

About Ola Ringdahl

Ola Ringdahl is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Mechanical Engineering, Mechanics of Materials and Environmental Engineering, having authored 32 papers that have together received 776 indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Forest Biomass Utilization and Management (10 papers), Robotic Path Planning Algorithms (9 papers), Modular Robots and Swarm Intelligence (8 papers), Remote Sensing and LiDAR Applications (8 papers), Soil Mechanics and Vehicle Dynamics (3 papers), Robotics and Sensor-Based Localization (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Plant Science (419 citations), Environmental Engineering (157 citations), Geology (38 citations), Computer Vision and Pattern Recognition (111 citations) and Mechanical Engineering (185 citations). Ola Ringdahl has collaborated with scholars based in Sweden, Israel and Netherlands. Frequent co-authors include Thomas Hellström, Yael Edan, Polina Kurtser, Ola Lindroos, R. Barth, J. Hemming, Ohad Ben‐Shahar, Boaz Arad, J. Balendonck and Tomas Nordfjell. Their work appears in journals such as Robotics, Croatian journal of forest engineering, Journal of Intelligent & Robotic Systems, IEEE Robotics and Automation Letters and Journal of Terramechanics.

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.

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