Kim Arild Steen
- Plant Science top 10%
- Ecology
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Environmental Engineering
- Co-authors
- Rasmus Nyholm JørgensenHenrik KarstoftPeter ChristiansenOle GreenLars NielsenOle Roland TherkildsenAndrés Villa‐HenriksenMikkel Fly Kragh
- Topics
- Smart Agriculture and AI (8 papers)Animal Vocal Communication and Behavior (6 papers)Food Supply Chain Traceability (3 papers)
- Partner nations
- DenmarkUnited StatesFrance
In The Last Decade
Kim Arild Steen
19 papers receiving 441 citations
Peers
Comparison fields: 5 of 77
- Plant Science 174
- Ecology 118
- Computer Vision and Pattern Recognition 115
- Aerospace Engineering 78
- Environmental Engineering 49
Countries citing papers authored by Kim Arild Steen
This map shows the geographic impact of Kim Arild Steen'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 Kim Arild Steen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Arild Steen more than expected).
Fields of papers citing papers by Kim Arild Steen
This network shows the impact of papers produced by Kim Arild Steen. 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 Kim Arild Steen. The network helps show where Kim Arild Steen may publish in the future.
Co-authorship network of co-authors of Kim Arild Steen
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Arild Steen. A scholar is included among the top collaborators of Kim Arild Steen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Arild Steen. Kim Arild Steen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks | 3 |
| 3 | 8 | |
| 4 | 34 | |
| 5 | 63 | |
| 6 | 99 | |
| 7 | 48 | |
| 8 | Towards Autonomous Plant Production using Fully Convolutional Neural Networks | 3 |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 116 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | An Audio Based Adaptive Goose Scaring Device | 0 |
| 15 | 2 | |
| 16 | 37 | |
| 17 | 17 | |
| 18 | Automatic detection of animals using thermal imaging. | 3 |
| 19 | Video-based detection of goose behaviours. | 1 |
| 20 | A Multimedia Capture System for Wildlife Studies | 3 |
About Kim Arild Steen
Kim Arild Steen is a scholar working on Developmental Biology, Small Animals and Signal Processing, having authored 20 papers that have together received 462 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Animal Vocal Communication and Behavior (6 papers) and Food Supply Chain Traceability (3 papers). The work is most often cited by research in Developmental Biology (17 citations), Ecological Modeling (27 citations) and Computer Vision and Pattern Recognition (115 citations). Kim Arild Steen has collaborated with scholars based in Denmark, United States and France. Frequent co-authors include Rasmus Nyholm Jørgensen, Henrik Karstoft, Peter Christiansen, Ole Green, Lars Nielsen, Ole Roland Therkildsen, Henrik Karstoft, Andrés Villa‐Henriksen, Mikkel Fly Kragh and Morten Stigaard Laursen. Their work appears in journals such as Sensors, Computers and Electronics in Agriculture and Applied Acoustics.
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.