Thorkild M. Rasmussen

2.3k total citations
69 papers, 1.8k citations indexed

About

Thorkild M. Rasmussen is a scholar working on Geophysics, Artificial Intelligence and Geology. According to data from OpenAlex, Thorkild M. Rasmussen has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geophysics, 23 papers in Artificial Intelligence and 21 papers in Geology. Recurrent topics in Thorkild M. Rasmussen's work include Geophysical and Geoelectrical Methods (24 papers), Geochemistry and Geologic Mapping (22 papers) and Geological Studies and Exploration (19 papers). Thorkild M. Rasmussen is often cited by papers focused on Geophysical and Geoelectrical Methods (24 papers), Geochemistry and Geologic Mapping (22 papers) and Geological Studies and Exploration (19 papers). Thorkild M. Rasmussen collaborates with scholars based in Sweden, Denmark and Norway. Thorkild M. Rasmussen's co-authors include L. B. Pedersen, Sverre Planke, S. Rey, R. Myklebust, Wilfried Jokat, Yngve Kristoffersen, Arne Døssing, A. V. Olesen, Gabriele Uenzelmann‐Neben and Tilo Schöne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

Thorkild M. Rasmussen

65 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Thorkild M. Rasmussen 1.1k 725 514 295 263 69 1.8k
Tianyao Hao 1.2k 1.1× 605 0.8× 272 0.5× 156 0.5× 113 0.4× 117 1.6k
Peter Buhl 3.9k 3.5× 736 1.0× 236 0.5× 225 0.8× 127 0.5× 48 4.3k
P. J. Barton 2.3k 2.0× 449 0.6× 183 0.4× 102 0.3× 97 0.4× 69 2.7k
Marc Munschy 1.3k 1.2× 445 0.6× 110 0.2× 74 0.3× 193 0.7× 69 1.8k
C. A. Zelt 4.0k 3.5× 616 0.8× 298 0.6× 276 0.9× 203 0.8× 98 4.3k
Harm J. A. Van Avendonk 2.5k 2.2× 769 1.1× 256 0.5× 227 0.8× 98 0.4× 86 2.9k
Nina Kukowski 2.6k 2.3× 293 0.4× 432 0.8× 439 1.5× 145 0.6× 82 3.1k
C. J. MacLeod 3.8k 3.4× 323 0.4× 304 0.6× 170 0.6× 700 2.7× 116 4.2k
Yongshun John Chen 3.3k 2.9× 255 0.4× 136 0.3× 117 0.4× 263 1.0× 95 3.6k
P. A. F. Christie 1.9k 1.7× 990 1.4× 765 1.5× 173 0.6× 142 0.5× 36 2.7k

Countries citing papers authored by Thorkild M. Rasmussen

Since Specialization
Citations

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

Fields of papers citing papers by Thorkild M. Rasmussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thorkild M. Rasmussen. 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 Thorkild M. Rasmussen. The network helps show where Thorkild M. Rasmussen may publish in the future.

Co-authorship network of co-authors of Thorkild M. Rasmussen

This figure shows the co-authorship network connecting the top 25 collaborators of Thorkild M. Rasmussen. A scholar is included among the top collaborators of Thorkild M. Rasmussen 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 Thorkild M. Rasmussen. Thorkild M. Rasmussen 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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Liu, Xiaojun, Wanhua Zhu, Maxim Smirnov, et al.. (2023). Three-Dimensional Transient Electromagnetic Forward Modeling for Simulating Arbitrary Source Waveform Using Convolution Approach. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 1 indexed citations
3.
Døssing, Arne, et al.. (2023). UAV-towed scalar magnetic gradiometry: A case study in relation to iron oxide copper-gold mineralization, Nautanen (Arctic Sweden). The Leading Edge. 42(2). 103–111. 4 indexed citations
4.
Martelet, Guillaume, et al.. (2021). Airborne/UAV Multisensor Surveys Enhance the Geological Mapping and 3D Model of a Pseudo-Skarn Deposit in Ploumanac’h, French Brittany. Minerals. 11(11). 1259–1259. 16 indexed citations
5.
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Rasmussen, Thorkild M., et al.. (2019). Multiple Multi-Spectral Remote Sensing Data Fusion and Integration for Geological Mapping. 1–5. 7 indexed citations
7.
Hejda, Pavel, Aude Chambodut, Jürgen Matzka, et al.. (2017). Progress of Geomagnetism towards integration of data and services in EPOS. Publication Database GFZ (GFZ German Research Centre for Geosciences). 8339. 1 indexed citations
8.
Rasmussen, Thorkild M., et al.. (2017). Kicks Controlling Techniques Efficiency in Term of Time. Engineering. 9(5). 482–492. 1 indexed citations
9.
Rasmussen, Thorkild M., et al.. (2015). 3D modelling of the base-metal mineralized Jameson Land Basin (central East Greenland) using geologically constrained inversion of magnetic data. Epubl LTU.
10.
Fyhn, Michael B.W., et al.. (2012). Geological assessment of the East Greenland margin. Geological Survey of Denmark and Greenland Bulletin. 26. 61–64. 6 indexed citations
11.
Korstgård, John A., et al.. (2006). Magnetic anomalies and metamorphic boundaries in the southern Nagssugtoqidian orogen, West Greenland. Geological Survey of Denmark and Greenland Bulletin. 11. 179–184. 3 indexed citations
12.
Christensen, Niels B., et al.. (2000). The Use Of Airborne Electromagnetic Systems For Hydrogeological Investigations. 1 indexed citations
13.
Başokur, Ahmet Tuğrul, et al.. (1997). Comparison of induced polarization and controlled-source audio-magnetotellurics methods for massive chalcopyrite exploration in a volcanic area. Geophysics. 62(4). 1087–1096. 24 indexed citations
14.
Elming, Sten‐Åke & Thorkild M. Rasmussen. (1997). Results of magnetotelluric and gravimetric measurements in western Nicaragua, Central America. Geophysical Journal International. 128(3). 647–658. 18 indexed citations
15.
Jokat, Wilfried, Estella Weigelt, Yngve Kristoffersen, Thorkild M. Rasmussen, & Tilo Schöne. (1995). New insight into the evolution of the Lomonosov Ridge and the Eurasian Basin. Publication Database GFZ (GFZ German Research Centre for Geosciences). 79 indexed citations
16.
Rasmussen, Thorkild M.. (1993). Two-Dimensional Occam Model of COPROD2 Data. First Order Description of Resolution and Variance.. Journal of geomagnetism and geoelectricity. 45(9). 1027–1037. 9 indexed citations
17.
Pedersen, L. B., Christopher Juhlin, & Thorkild M. Rasmussen. (1992). Electric resistivity in the Gravberg‐1 Deep Well, Sweden. Journal of Geophysical Research Atmospheres. 97(B6). 9171–9182. 18 indexed citations
18.
Pedersen, L. B. & Thorkild M. Rasmussen. (1990). The gradient tensor of potential field anomalies; some implications on data collection and data processing of maps. Geophysics. 55(12). 1558–1566. 240 indexed citations
19.
Chouliaras, G. & Thorkild M. Rasmussen. (1988). The application of the magnetotelluric impedance tensor to earthquake prediction research in Greece. Tectonophysics. 152(1-2). 119–135. 16 indexed citations
20.
Zhang, Ping, Thorkild M. Rasmussen, & Laust B. Pedersen. (1988). Electric resistivity structure of the Siljan impact region. Journal of Geophysical Research Atmospheres. 93(B6). 6485–6501. 23 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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