Helge Aasen

5.2k total citations · 3 hit papers
53 papers, 3.6k citations indexed

About

Helge Aasen is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Helge Aasen has authored 53 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Ecology, 23 papers in Environmental Engineering and 21 papers in Plant Science. Recurrent topics in Helge Aasen's work include Remote Sensing in Agriculture (43 papers), Remote Sensing and LiDAR Applications (21 papers) and Smart Agriculture and AI (9 papers). Helge Aasen is often cited by papers focused on Remote Sensing in Agriculture (43 papers), Remote Sensing and LiDAR Applications (21 papers) and Smart Agriculture and AI (9 papers). Helge Aasen collaborates with scholars based in Switzerland, Germany and Spain. Helge Aasen's co-authors include Andreas Bolten, Georg Bareth, Juliane Bendig, Martin L. Gnyp, Kang Yu, Andreas Burkart, Eija Honkavaara, Arko Lucieer, Pablo J. Zarco‐Tejada and Achim Walter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Experimental Botany.

In The Last Decade

Helge Aasen

50 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

2015 964 citations Juliane Bendig, Kang Yu et al. profile →
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows

2018 453 citations Helge Aasen et al. Remote Sensing profile →
Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

2015 383 citations Helge Aasen, Andreas Bolten et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers

Helge Aasen

ECOLO

GPC

GEOLO

Andreas Bolten Germany

Jorge Torres‐Sánchez Spain

José A. Jiménez-Berni Spain

Francisca López Granados Spain

Harm Bartholomeus Netherlands

José Marcato Brazil

Lola Suárez Australia

Zbyněk Malenovský Australia

Georg Bareth Germany

Juha Suomalainen Finland

Andreas Bolten Germany

Helge Aasen

2.2k ×0.9

ECOLO

1.8k ×1.0

1.1k ×0.8

559 ×0.8

GPC

400 ×1.1

GEOLO

Citations per year, relative to Helge Aasen Helge Aasen (= 1×) peers Andreas Bolten

Countries citing papers authored by Helge Aasen

Since Specialization

Citations

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

Fields of papers citing papers by Helge Aasen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helge Aasen

This figure shows the co-authorship network connecting the top 25 collaborators of Helge Aasen. A scholar is included among the top collaborators of Helge Aasen 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 Helge Aasen. Helge Aasen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Colombi, Tino, et al.. (2025). Earth observation reveals reduced winter wheat growth and the importance of plant available water during drought. Biogeosciences. 22(5). 1341–1354.

Roth, Lukas, Andreas Hund, Helge Aasen, et al.. (2025). Analysis of variance and its sources in UAV-based multi-view thermal imaging of wheat plots. Plant Phenomics. 7(2). 100046–100046.

Liebisch, Frank, et al.. (2025). Comparison of PhenoCams and drones for lean phenotyping of phenology and senescence of wheat genotypes in variety testing. SHILAP Revista de lepidopterología. 8(1).

Walter, Achim, et al.. (2025). Enhanced gap-filling for satellite-derived crop monitoring using temperature-driven reconstruction techniques. Smart Agricultural Technology. 10. 100816–100816. 1 indexed citations

Herrera, Juan M., Andreas Hund, Norbert Kirchgeßner, et al.. (2024). Improving drone-based uncalibrated estimates of wheat canopy temperature in plot experiments by accounting for confounding factors in a multi-view analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 721–741. 3 indexed citations

Anderegg, Jonas, Norbert Kirchgeßner, Helge Aasen, et al.. (2024). Thermal imaging can reveal variation in stay-green functionality of wheat canopies under temperate conditions. Frontiers in Plant Science. 15. 1335037–1335037. 5 indexed citations

Roth, Lukas, Helge Aasen, Achim Walter, et al.. (2023). High-throughput field phenotyping reveals that selection in breeding has affected the phenology and temperature response of wheat in the stem elongation phase. Journal of Experimental Botany. 75(7). 2084–2099. 8 indexed citations

Timofte, Radu, Norbert Kirchgeßner, Lukas Roth, et al.. (2022). Outdoor Plant Segmentation With Deep Learning for High-Throughput Field Phenotyping on a Diverse Wheat Dataset. Frontiers in Plant Science. 12. 774068–774068. 43 indexed citations

Aasen, Helge, et al.. (2022). EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data. Computers and Electronics in Agriculture. 203. 107487–107487. 9 indexed citations

10.

Machwitz, Miriam, Roland Pieruschka, Katja Berger, et al.. (2021). Bridging the Gap Between Remote Sensing and Plant Phenotyping—Challenges and Opportunities for the Next Generation of Sustainable Agriculture. Frontiers in Plant Science. 12. 749374–749374. 26 indexed citations

11.

Manfreda, Salvatore, Helge Aasen, M. R. James, et al.. (2020). Current Practices in UAS-based Environmental Monitoring. Remote Sensing. 12(6). 1001–1001. 169 indexed citations

12.

David, Étienne, Simon Madec, Pouria Sadeghi‐Tehran, et al.. (2020). Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods. Plant Phenomics. 2020. 3521852–3521852. 168 indexed citations

13.

Anderegg, Jonas, Kang Yu, Helge Aasen, et al.. (2020). Spectral Vegetation Indices to Track Senescence Dynamics in Diverse Wheat Germplasm. Frontiers in Plant Science. 10. 1749–1749. 91 indexed citations

14.

Hund, Andreas, Jonas Anderegg, Lukas Roth, et al.. (2020). Assessment of Multi-Image Unmanned Aerial Vehicle Based High-Throughput Field Phenotyping of Canopy Temperature. Frontiers in Plant Science. 11. 150–150. 60 indexed citations

15.

Aasen, Helge, Norbert Kirchgeßner, Achim Walter, & Frank Liebisch. (2020). PhenoCams for Field Phenotyping: Using Very High Temporal Resolution Digital Repeated Photography to Investigate Interactions of Growth, Phenology, and Harvest Traits. Frontiers in Plant Science. 11. 593–593. 33 indexed citations

16.

Roth, Lukas, et al.. (2020). Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones. Plant Phenomics. 2020. 3729715–3729715. 37 indexed citations

17.

Aasen, Helge, et al.. (2020). A Non-destructive Method to Quantify Leaf Starch Content in Red Clover. Frontiers in Plant Science. 11. 569948–569948. 3 indexed citations

18.

Kirchgeßner, Norbert, et al.. (2018). Soybean Leaf Coverage Estimation with Machine Learning and Thresholding Algorithms for Field Phenotyping. British Machine Vision Conference. 32. 8 indexed citations

19.

Aasen, Helge. (2016). INFLUENCE OF THE VIEWING GEOMETRY WITHIN HYPERSPECTRAL IMAGES RETRIEVED FROM UAV SNAPSHOT CAMERAS. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. III-7. 257–261. 2 indexed citations

20.

Bareth, Georg, Helge Aasen, Juliane Bendig, et al.. (2014). Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements. Repository for Publications and Research Data (ETH Zurich). 94. 1–6. 2 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.

Explore authors with similar magnitude of impact