Rasmus Houborg

5.7k total citations · 2 hit papers
80 papers, 4.3k citations indexed

About

Rasmus Houborg is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Rasmus Houborg has authored 80 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ecology, 38 papers in Global and Planetary Change and 31 papers in Environmental Engineering. Recurrent topics in Rasmus Houborg's work include Remote Sensing in Agriculture (55 papers), Plant Water Relations and Carbon Dynamics (19 papers) and Remote Sensing and LiDAR Applications (15 papers). Rasmus Houborg is often cited by papers focused on Remote Sensing in Agriculture (55 papers), Plant Water Relations and Carbon Dynamics (19 papers) and Remote Sensing and LiDAR Applications (15 papers). Rasmus Houborg collaborates with scholars based in United States, Saudi Arabia and Italy. Rasmus Houborg's co-authors include Matthew F. McCabe, Eva Boegh, Martha C. Anderson, H. Soegaard, Matthew Rodell, Alessandro Cescatti, W KUSTAS, J. Norman, Patrick J. Starks and Nurit Agam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Rasmus Houborg

78 papers receiving 4.2k citations

Hit Papers

The future of Earth obser... 2017 2026 2020 2023 2017 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rasmus Houborg 2.3k 2.0k 1.5k 1.2k 805 80 4.3k
Yaozhong Pan 2.3k 1.0× 3.3k 1.6× 964 0.6× 559 0.5× 1.0k 1.3× 128 4.8k
Roberto Colombo 4.2k 1.8× 3.9k 1.9× 1.6k 1.1× 1.7k 1.4× 1.5k 1.9× 150 6.9k
Stephen Plummer 3.1k 1.4× 2.7k 1.4× 1.9k 1.2× 1.1k 0.9× 1.1k 1.3× 60 5.0k
Hongliang Fang 3.4k 1.5× 2.8k 1.4× 2.1k 1.4× 1.3k 1.1× 1.1k 1.3× 97 5.0k
Ferran Gascon 3.2k 1.4× 2.2k 1.1× 2.0k 1.3× 524 0.4× 1.0k 1.3× 88 5.3k
Martin Claverie 2.3k 1.0× 1.9k 1.0× 1.3k 0.9× 458 0.4× 720 0.9× 37 3.6k
Pietro Alessandro Brivio 1.8k 0.8× 2.0k 1.0× 930 0.6× 398 0.3× 842 1.0× 118 3.8k
Kasper Johansen 2.4k 1.0× 1.6k 0.8× 1.5k 1.0× 570 0.5× 355 0.4× 104 3.9k
Qingjiu Tian 1.9k 0.8× 1.4k 0.7× 1.5k 1.0× 584 0.5× 743 0.9× 182 3.7k
Daniela Stroppiana 1.8k 0.8× 1.7k 0.9× 764 0.5× 931 0.8× 577 0.7× 76 3.4k

Countries citing papers authored by Rasmus Houborg

Since Specialization
Citations

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

Fields of papers citing papers by Rasmus Houborg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasmus Houborg

This figure shows the co-authorship network connecting the top 25 collaborators of Rasmus Houborg. A scholar is included among the top collaborators of Rasmus Houborg 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 Rasmus Houborg. Rasmus Houborg 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.
Roy, David P., et al.. (2024). Multi-resolution monitoring of the 2023 maui wildfires, implications and needs for satellite-based wildfire disaster monitoring. SHILAP Revista de lepidopterología. 10. 100142–100142. 8 indexed citations
2.
Gao, Feng, Martha C. Anderson, & Rasmus Houborg. (2024). Impacts of Spatial and Temporal Resolution on Remotely Sensed Corn and Soybean Emergence Detection. Remote Sensing. 16(22). 4145–4145. 4 indexed citations
3.
Jackson, Daniel J., et al.. (2023). Understanding Sentinel-1 backscatter response to sugarcane yield variability and waterlogging. Remote Sensing of Environment. 290. 113555–113555. 14 indexed citations
4.
Aragon, B., Kerry Cawse‐Nicholson, Glynn Hulley, Rasmus Houborg, & Joshua B. Fisher. (2023). K-sharp: A segmented regression approach for image sharpening and normalization. SHILAP Revista de lepidopterología. 8. 100095–100095. 1 indexed citations
5.
Gao, Feng, Martha C. Anderson, W. Dulaney, et al.. (2023). Integration of Remote Sensing and Field Observations in Evaluating DSSAT Model for Estimating Maize and Soybean Growth and Yield in Maryland, USA. Agronomy. 13(6). 1540–1540. 13 indexed citations
6.
Gray, Josh, et al.. (2022). Multiresolution Broad Area Search: Monitoring Spatial Characteristics of Gapless Remote Sensing Data. Journal of Data Science. 545–565. 1 indexed citations
7.
Houborg, Rasmus, et al.. (2022). Impact of High-Cadence Earth Observation in Maize Crop Phenology Classification. Remote Sensing. 14(3). 469–469. 5 indexed citations
8.
López, Oliver, Kasper Johansen, B. Aragon, et al.. (2020). Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach. Hydrology and earth system sciences. 24(11). 5251–5277. 19 indexed citations
9.
Angel, Yoseline, et al.. (2019). A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat. Remote Sensing. 11(8). 920–920. 168 indexed citations
10.
Houborg, Rasmus & Ignacio A. Zuleta. (2019). Very high resolution (daily, 3 m) data cubes of surface reflectance synergizing observations from CubeSats, Sentinel-2, Landsat 8, and MODIS. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
11.
Angel, Yoseline, et al.. (2017). UAV-Based Hyperspectral Remote Sensing for Precision Agriculture: Challenges and Opportunities. AGUFM. 2017. 1 indexed citations
12.
López, Oliver, Rasmus Houborg, & Matthew F. McCabe. (2017). Evaluating the hydrological consistency of evaporation products using satellite-based gravity and rainfall data. Hydrology and earth system sciences. 21(1). 323–343. 22 indexed citations
13.
14.
López, Oliver, Matthew F. McCabe, & Rasmus Houborg. (2015). Evaluation of multiple satellite evaporation products in two dryland regions using GRACE. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1 indexed citations
15.
Schull, M. A., Martha C. Anderson, Rasmus Houborg, Anatoly A. Gitelson, & William P. Kustas. (2015). Thermal-based modeling of coupled carbon, water, and energy fluxes using nominal light use efficiencies constrained by leaf chlorophyll observations. Biogeosciences. 12(5). 1511–1523. 18 indexed citations
16.
López, Oliver, Rasmus Houborg, & Matthew F. McCabe. (2013). Evaluating Water Storage Variations in the MENA region using GRACE Satellite Data. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 2013. 1 indexed citations
17.
Boegh, Eva, Rasmus Houborg, Jerzy Bieńkowski, et al.. (2013). Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes. Biogeosciences. 10(10). 6279–6307. 50 indexed citations
18.
Boegh, Eva, Rasmus Houborg, Jerzy Bieńkowski, et al.. (2012). Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes. Joint Research Centre (European Commission). 9 indexed citations
19.
Houborg, Rasmus, Margaret C. Anderson, William P. Kustas, & Craig S. T. Daughtry. (2009). A Spatiotemporal Analysis on the Correlation of Leaf Chlorophyll With Light-use-efficiencies Across a Heterogeneous Corn Field. AGU Spring Meeting Abstracts. 2009. 1 indexed citations
20.
Houborg, Rasmus, H. Soegaard, & Eva Boegh. (2006). Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data. Remote Sensing of Environment. 106(1). 39–58. 280 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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