Majken C. Looms

2.1k total citations
51 papers, 1.3k citations indexed

About

Majken C. Looms is a scholar working on Geophysics, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Majken C. Looms has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Geophysics, 27 papers in Ocean Engineering and 18 papers in Environmental Engineering. Recurrent topics in Majken C. Looms's work include Geophysical Methods and Applications (27 papers), Geophysical and Geoelectrical Methods (22 papers) and Seismic Waves and Analysis (18 papers). Majken C. Looms is often cited by papers focused on Geophysical Methods and Applications (27 papers), Geophysical and Geoelectrical Methods (22 papers) and Seismic Waves and Analysis (18 papers). Majken C. Looms collaborates with scholars based in Denmark, Germany and United States. Majken C. Looms's co-authors include Karsten H. Jensen, Lars Nielsen, Andrew Binley, Thomas Mejer Hansen, Anja Klotzsche, Jan van der Kruk, Mie Andreasen, Knud Skou Cordua, François Jonard and Heye Bogena and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Geophysics.

In The Last Decade

Majken C. Looms

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majken C. Looms Denmark 22 700 697 659 171 150 51 1.3k
R. Knight United States 11 456 0.7× 527 0.8× 1.0k 1.5× 373 2.2× 369 2.5× 18 1.5k
Konstantinos Chalikakis France 20 634 0.9× 528 0.8× 273 0.4× 65 0.4× 111 0.7× 49 1.3k
Anthony L. Endres Canada 28 1.1k 1.5× 1.1k 1.6× 715 1.1× 128 0.7× 146 1.0× 85 1.7k
Joseph Doetsch Switzerland 28 1.8k 2.6× 1.3k 1.8× 549 0.8× 108 0.6× 77 0.5× 97 2.3k
Abderrahim Jardani France 33 1.9k 2.7× 1.3k 1.9× 969 1.5× 210 1.2× 39 0.3× 81 2.5k
F.P. Haeni United States 17 698 1.0× 717 1.0× 270 0.4× 129 0.8× 68 0.5× 49 1.3k
Nikolaj Foged Denmark 18 1.1k 1.5× 874 1.3× 292 0.4× 61 0.4× 374 2.5× 55 1.7k
Adam Pidlisecky Canada 18 981 1.4× 768 1.1× 225 0.3× 53 0.3× 109 0.7× 32 1.2k
Warren Barrash United States 29 1.7k 2.4× 1.1k 1.6× 1.3k 2.0× 241 1.4× 30 0.2× 75 2.2k
William A. Sauck United States 22 1.2k 1.7× 910 1.3× 421 0.6× 33 0.2× 35 0.2× 84 1.6k

Countries citing papers authored by Majken C. Looms

Since Specialization
Citations

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

Fields of papers citing papers by Majken C. Looms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Majken C. Looms. 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 Majken C. Looms. The network helps show where Majken C. Looms may publish in the future.

Co-authorship network of co-authors of Majken C. Looms

This figure shows the co-authorship network connecting the top 25 collaborators of Majken C. Looms. A scholar is included among the top collaborators of Majken C. Looms 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 Majken C. Looms. Majken C. Looms 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
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2.
Meyer, Rena, Wenmin Zhang, Mie Andreasen, et al.. (2022). Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale. Hydrology and earth system sciences. 26(13). 3337–3357. 22 indexed citations
3.
Nguyen, Frédéric, et al.. (2022). Geophysical Inversion Using a Variational Autoencoder to Model an Assembled Spatial Prior Uncertainty. Journal of Geophysical Research Solid Earth. 127(3). 23 indexed citations
4.
Yuan, Hemin, Majken C. Looms, & Lars Nielsen. (2021). Rock-physics characterization of chalk by combining acoustic and electromagnetic properties. Geophysics. 87(1). MR1–MR11. 5 indexed citations
5.
Meyer, Rena, Wenmin Zhang, Mie Andreasen, et al.. (2021). Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale. 2 indexed citations
6.
Jougnot, Damien, et al.. (2020). Advancing quantitative understanding of self-potential signatures in the critical zone through long-term monitoring. Journal of Hydrology. 585. 124771–124771. 21 indexed citations
7.
Wang, Sheng, Mónica García, Andreas Ibrom, et al.. (2018). Mapping Root-Zone Soil Moisture Using a Temperature–Vegetation Triangle Approach with an Unmanned Aerial System: Incorporating Surface Roughness from Structure from Motion. Remote Sensing. 10(12). 1978–1978. 25 indexed citations
8.
Klotzsche, Anja, François Jonard, Majken C. Looms, Jan van der Kruk, & Johan Alexander Huisman. (2018). Measuring Soil Water Content with Ground Penetrating Radar: A Decade of Progress. Vadose Zone Journal. 17(1). 1–9. 161 indexed citations
9.
Andreasen, Mie, Karsten H. Jensen, Darin Desilets, et al.. (2017). Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception. Hydrology and earth system sciences. 21(4). 1875–1894. 31 indexed citations
10.
Looms, Majken C., et al.. (2017). Mapping sand layers in clayey till using crosshole ground-penetrating radar. Geophysics. 83(1). A21–A26. 16 indexed citations
11.
Andreasen, Mie, Karsten H. Jensen, Darin Desilets, et al.. (2016). Can canopy interception and biomass be inferred from cosmic-ray neutron intensity? Results from neutron transport modeling. 1 indexed citations
12.
Andreasen, Mie, Karsten H. Jensen, & Majken C. Looms. (2016). Ground level thermal-to-epithermal neutron ratio measurements for biomass estimation and advancement of the cosmic-ray neutron soil moisture method. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
13.
Jessen, Søren, Dieke Postma, Rasmus Jakobsen, Majken C. Looms, & Flemming H. Larsen. (2014). Inhibition of carbon transfer across the vadose zone by 20th century acid rain. EGU General Assembly Conference Abstracts. 6340. 3 indexed citations
14.
15.
Jensen, Karsten H., et al.. (2013). Monitoring CO2 gas-phase injection in a shallow sand aquifer using cross borehole GPR and modeled with T2VOC multi-phase code. Research at the University of Copenhagen (University of Copenhagen). 2013. 1 indexed citations
16.
Hansen, Thomas Mejer, Knud Skou Cordua, Majken C. Looms, & Klaus Mosegaard. (2012). SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information. Computers & Geosciences. 52. 481–492. 38 indexed citations
17.
Binley, Andrew, et al.. (2012). Comparing Plume Characteristics Inferred from Cross‐Borehole Geophysical Data. Vadose Zone Journal. 11(4). 15 indexed citations
18.
Looms, Majken C., Thomas Mejer Hansen, Knud Skou Cordua, et al.. (2010). Geostatistical inference using crosshole ground-penetrating radar. Geophysics. 75(6). J29–J41. 16 indexed citations
19.
Cordua, Knud Skou, Majken C. Looms, & Lars Nielsen. (2008). Accounting for Correlated Data Errors during Inversion of Cross‐Borehole Ground Penetrating Radar Data. Vadose Zone Journal. 7(1). 263–271. 19 indexed citations
20.
Looms, Majken C., Karsten H. Jensen, Andrew Binley, & Lars Nielsen. (2008). Monitoring unsaturated flow and transport using geophysical methods.. Lancaster EPrints (Lancaster University). 4 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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