Kim Arild Steen

691 total citations
20 papers, 462 citations indexed

About

Kim Arild Steen is a scholar working on Plant Science, Developmental Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kim Arild Steen has authored 20 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Developmental Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kim Arild Steen's work include Smart Agriculture and AI (8 papers), Animal Vocal Communication and Behavior (6 papers) and Food Supply Chain Traceability (3 papers). Kim Arild Steen is often cited by papers focused on Smart Agriculture and AI (8 papers), Animal Vocal Communication and Behavior (6 papers) and Food Supply Chain Traceability (3 papers). Kim Arild Steen collaborates with scholars based in Denmark, United States and France. Kim Arild Steen's 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 and has published in prestigious journals such as Sensors, Computers and Electronics in Agriculture and Applied Acoustics.

In The Last Decade

Kim Arild Steen

19 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kim Arild Steen Denmark 9 174 118 115 78 49 20 462
Henrik Karstoft Denmark 17 246 1.4× 140 1.2× 214 1.9× 89 1.1× 66 1.3× 48 1.0k
Joris IJsselmuiden Netherlands 12 427 2.5× 101 0.9× 131 1.1× 87 1.1× 53 1.1× 21 691
Aleem Khaliq Italy 7 221 1.3× 214 1.8× 78 0.7× 42 0.5× 142 2.9× 13 476
Dae-Hyun Lee South Korea 15 291 1.7× 51 0.4× 86 0.7× 31 0.4× 34 0.7× 109 802
Peter Christiansen Denmark 7 126 0.7× 68 0.6× 80 0.7× 89 1.1× 36 0.7× 12 357
Vittorio Mazzia Italy 9 181 1.0× 81 0.7× 263 2.3× 81 1.0× 59 1.2× 15 581
Dani Martínez Spain 11 197 1.1× 68 0.6× 72 0.6× 30 0.4× 36 0.7× 23 464
Thuy Tuong Nguyen United States 15 370 2.1× 114 1.0× 243 2.1× 70 0.9× 90 1.8× 40 803
Leifeng Guo China 17 307 1.8× 189 1.6× 230 2.0× 78 1.0× 102 2.1× 61 1.0k
Willian Paraguassu Amorim Brazil 9 291 1.7× 118 1.0× 82 0.7× 28 0.4× 51 1.0× 18 502

Countries citing papers authored by Kim Arild Steen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Midtiby, Henrik Skov, Kim Arild Steen, & Ole Green. (2018). In row cultivation controlled by plant patterns. Computers and Electronics in Agriculture. 153. 62–68. 1 indexed citations
2.
Larsen, Dennis, Søren Skovsen, Kim Arild Steen, et al.. (2018). Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks. 3 indexed citations
3.
Christiansen, Peter, Mikkel Fly Kragh, Kim Arild Steen, Henrik Karstoft, & Rasmus Nyholm Jørgensen. (2017). Platform for evaluating sensors and human detection in autonomous mowing operations. Precision Agriculture. 18(3). 350–365. 8 indexed citations
4.
Skovsen, Søren, Mads Dyrmann, Anders Krogh Mortensen, et al.. (2017). Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors. 17(12). 2930–2930. 34 indexed citations
5.
Kragh, Mikkel Fly, Peter Christiansen, Morten Stigaard Laursen, et al.. (2017). FieldSAFE: Dataset for Obstacle Detection in Agriculture. Sensors. 17(11). 2579–2579. 63 indexed citations
6.
Nielsen, Lars, et al.. (2016). DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field. Sensors. 16(11). 1904–1904. 99 indexed citations
7.
Christiansen, Peter, René Sørensen, Søren Skovsen, et al.. (2016). Towards Autonomous Plant Production using Fully Convolutional Neural Networks. 3 indexed citations
8.
Steen, Kim Arild, Peter Christiansen, Henrik Karstoft, & Rasmus Nyholm Jørgensen. (2016). Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture. Journal of Imaging. 2(1). 6–6. 48 indexed citations
9.
Steen, Kim Arild, Ole Roland Therkildsen, Ole Green, & Henrik Karstoft. (2015). Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency. Sensors. 15(3). 5096–5111. 5 indexed citations
10.
Steen, Kim Arild, Ole Roland Therkildsen, Henrik Karstoft, & Ole Green. (2015). An adaptive scaring device. International Journal of Sustainable Agricultural Management and Informatics. 1(2). 130–130. 3 indexed citations
11.
Christiansen, Peter, Kim Arild Steen, Rasmus Nyholm Jørgensen, & Henrik Karstoft. (2014). Automated Detection and Recognition of Wildlife Using Thermal Cameras. Sensors. 14(8). 13778–13793. 116 indexed citations
12.
Steen, Kim Arild, Ole Roland Therkildsen, Henrik Karstoft, & Ole Green. (2014). Audio-Based Detection and Recognition of Conflict Species in Outdoor Environments Using Pattern Recognition Methods. Applied Engineering in Agriculture. 89–96. 2 indexed citations
13.
Steen, Kim Arild, James H. McClellan, Ole Green, & Henrik Karstoft. (2014). Acoustic source tracking in long baseline microphone arrays. Applied Acoustics. 87. 38–45. 14 indexed citations
14.
Steen, Kim Arild, Ole Roland Therkildsen, Henrik Karstoft, & Ole Green. (2013). An Audio Based Adaptive Goose Scaring Device.
15.
Steen, Kim Arild, Ole Roland Therkildsen, Ole Green, & Henrik Karstoft. (2013). AUDIO-VISUAL RECOGNITION OF GOOSE FLOCKING BEHAVIOR. International Journal of Pattern Recognition and Artificial Intelligence. 27(7). 1350020–1350020. 2 indexed citations
16.
Steen, Kim Arild, Ole Roland Therkildsen, Henrik Karstoft, & Ole Green. (2012). A Vocal-Based Analytical Method for Goose Behaviour Recognition. Sensors. 12(3). 3773–3788. 17 indexed citations
17.
Steen, Kim Arild, Andrés Villa‐Henriksen, Ole Roland Therkildsen, Henrik Karstoft, & Ole Green. (2012). Automatic detection of animals using thermal imaging.. 3 indexed citations
18.
Steen, Kim Arild, Andrés Villa‐Henriksen, Ole Roland Therkildsen, & Ole Green. (2012). Automatic Detection of Animals in Mowing Operations Using Thermal Cameras. Sensors. 12(6). 7587–7597. 37 indexed citations
19.
Steen, Kim Arild, Ole Roland Therkildsen, Henrik Karstoft, & Ole Green. (2012). Video-based detection of goose behaviours.. 1 indexed citations
20.
Steen, Kim Arild, Henrik Karstoft, & Ole Green. (2011). A Multimedia Capture System for Wildlife Studies. 131–134. 3 indexed citations

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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