Leiv J. Gelius

754 total citations
56 papers, 572 citations indexed

About

Leiv J. Gelius is a scholar working on Geophysics, Ocean Engineering and Oceanography. According to data from OpenAlex, Leiv J. Gelius has authored 56 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Geophysics, 34 papers in Ocean Engineering and 10 papers in Oceanography. Recurrent topics in Leiv J. Gelius's work include Seismic Imaging and Inversion Techniques (35 papers), Geophysical Methods and Applications (30 papers) and Seismic Waves and Analysis (26 papers). Leiv J. Gelius is often cited by papers focused on Seismic Imaging and Inversion Techniques (35 papers), Geophysical Methods and Applications (30 papers) and Seismic Waves and Analysis (26 papers). Leiv J. Gelius collaborates with scholars based in Norway, Brazil and China. Leiv J. Gelius's co-authors include Hocine Tabti, Martin Tygel, Isabelle Lecomte, Walter Söllner, Jakob J. Stamnes, Weiying Chen, Nannan Zhou, Guoqiang Xue, Muhammad Younis Khan and Hai Li and has published in prestigious journals such as Earth and Planetary Science Letters, The Journal of the Acoustical Society of America and Geophysics.

In The Last Decade

Leiv J. Gelius

54 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leiv J. Gelius Norway 14 484 346 62 60 56 56 572
John W. Stockwell United States 4 457 0.9× 229 0.7× 62 1.0× 44 0.7× 61 1.1× 5 570
Ludĕk Klimeš Czechia 14 457 0.9× 145 0.4× 21 0.3× 62 1.0× 49 0.9× 50 548
Fuhao Qin United States 12 558 1.2× 307 0.9× 20 0.3× 21 0.3× 115 2.1× 26 646
J. R. Resnick United States 9 503 1.0× 248 0.7× 37 0.6× 34 0.6× 106 1.9× 13 614
Ben K. Sternberg United States 13 531 1.1× 416 1.2× 38 0.6× 48 0.8× 52 0.9× 54 672
Paulo M. Carvalho Brazil 7 783 1.6× 550 1.6× 55 0.9× 85 1.4× 102 1.8× 9 838
John R. Berryhill United States 7 525 1.1× 335 1.0× 33 0.5× 41 0.7× 63 1.1× 8 587
I. M. Mason Australia 14 552 1.1× 424 1.2× 62 1.0× 21 0.3× 42 0.8× 69 663
S. Ellingsrud Norway 11 643 1.3× 475 1.4× 18 0.3× 181 3.0× 32 0.6× 22 763
Ying Rao China 16 624 1.3× 359 1.0× 21 0.3× 34 0.6× 174 3.1× 64 737

Countries citing papers authored by Leiv J. Gelius

Since Specialization
Citations

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

Fields of papers citing papers by Leiv J. Gelius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leiv J. Gelius. 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 Leiv J. Gelius. The network helps show where Leiv J. Gelius may publish in the future.

Co-authorship network of co-authors of Leiv J. Gelius

This figure shows the co-authorship network connecting the top 25 collaborators of Leiv J. Gelius. A scholar is included among the top collaborators of Leiv J. Gelius 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 Leiv J. Gelius. Leiv J. Gelius 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.
Faleide, Jan Inge, et al.. (2024). Deep basin conductor characterization using machine learning-assisted magnetotelluric Bayesian inversion in the SW Barents Sea. Geophysical Journal International. 238(1). 420–432. 1 indexed citations
2.
Gelius, Leiv J., et al.. (2023). Dual‐sensor wavefield separation in a compressed domain using parabolic dictionary learning. Geophysical Prospecting. 71(5). 792–810. 2 indexed citations
3.
Planke, Sverre, et al.. (2022). Magnetotelluric image of a hyper-extended and serpentinized rift system. Earth and Planetary Science Letters. 602. 117914–117914. 3 indexed citations
4.
Lecomte, Isabelle, et al.. (2021). Point‐spread function convolution to simulate prestack depth migrated images: A validation study. Geophysical Prospecting. 69(8-9). 1571–1590. 11 indexed citations
5.
Kolbjørnsen, Odd, et al.. (2019). Cross-streamer wavefield interpolation using deep convolutional neural network. Duo Research Archive (University of Oslo). 2207–2211. 10 indexed citations
6.
Söllner, Walter, et al.. (2016). Subsurface reflectivity estimation from imaging of primaries and multiples using amplitude-normalized separated wavefields. Geophysics. 81(3). S101–S117. 2 indexed citations
7.
Xue, Guoqiang, Xiu Li, Leiv J. Gelius, et al.. (2015). A New Apparent Resistivity Formula for In-loop Fast Sounding TEM Theory and Application. Journal of Environmental and Engineering Geophysics. 20(2). 107–118. 20 indexed citations
8.
Söllner, Walter, et al.. (2014). Migration of primaries and multiples using an imaging condition for amplitude-normalized separated wavefields. Geophysics. 79(5). S217–S230. 9 indexed citations
9.
Tygel, Martin, et al.. (2014). Common-refection-surface (crs) Stacking With Diffraction Moveouts Ofvarying Aperture. Scopus. 1 indexed citations
10.
Xue, Guoqiang, Leiv J. Gelius, Patrick Asamoah Sakyi, et al.. (2014). Discovery of a hidden BIF deposit in Anhui province, China by integrated geological and geophysical investigations. Ore Geology Reviews. 63. 470–477. 33 indexed citations
11.
Söllner, Walter, et al.. (2013). Sea Surface Reflection Coefficient Estimation. 51–55. 27 indexed citations
12.
Xue, Guoqiang, et al.. (2013). 3D pseudo‐seismic imaging of transient electromagnetic data – a feasibility study. Geophysical Prospecting. 61(s1). 561–571. 16 indexed citations
13.
Gelius, Leiv J., et al.. (2013). 2D Spiking Deconvolution Approach to Resolution Enhancement of Prestack Depth Migrated Seismic Images. Proceedings. 2 indexed citations
14.
Gelius, Leiv J., et al.. (2012). Seismic Coherency Measures in Case of Interfering Events: A Focus on the Most Promising Candidates of Higher-Resolution Algorithms. IEEE Signal Processing Magazine. 29(3). 47–56. 11 indexed citations
15.
Gelius, Leiv J., et al.. (2011). Higher-Resolution Determination of Zero-Offset Common-Reflection-Surface Stack Parameters. International Journal of Geophysics. 2011. 1–10. 11 indexed citations
16.
Söllner, Walter, et al.. (2010). Imaging the sea surface using a dual-sensor towed streamer. Geophysics. 75(6). V111–V118. 15 indexed citations
17.
Gelius, Leiv J.. (2009). A Simple Analysis of Diffraction-limited Imaging and Super-resolution. 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009. 1 indexed citations
18.
Hamran, Svein‐Erik, Isabelle Lecomte, & Leiv J. Gelius. (2003). Local Plane-Wave Imaging of GPR Data. Journal of Environmental and Engineering Geophysics. 8(2). 115–121. 1 indexed citations
19.
Gelius, Leiv J., et al.. (1991). Quantitative results in ultrasonic tomography of large objects using line sources and curved detector arrays. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 38(4). 370–379. 38 indexed citations
20.
Pedersen, Hans M., Leiv J. Gelius, & Jakob J. Stamnes. (1989). 3D SEISMIC MODELLING OF EDGE DIFFRACTIONS1. Geophysical Prospecting. 37(6). 639–646. 6 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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