Jochen Kamm

503 total citations
27 papers, 390 citations indexed

About

Jochen Kamm is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Jochen Kamm has authored 27 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Geophysics, 13 papers in Ocean Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Jochen Kamm's work include Geophysical and Geoelectrical Methods (21 papers), Geophysical Methods and Applications (12 papers) and Seismic Waves and Analysis (9 papers). Jochen Kamm is often cited by papers focused on Geophysical and Geoelectrical Methods (21 papers), Geophysical Methods and Applications (12 papers) and Seismic Waves and Analysis (9 papers). Jochen Kamm collaborates with scholars based in Sweden, Finland and Germany. Jochen Kamm's co-authors include Laust B. Pedersen, Michael Becken, Mehrdad Bastani, Alexander Grayver, Matthew J. Comeau, С. Дэмбэрэл, Martiya Sadeghi, Helle Pedersen, Niklas Juhojuntti and Thomas Kalscheuer and has published in prestigious journals such as Earth and Planetary Science Letters, Geophysical Research Letters and Geophysics.

In The Last Decade

Jochen Kamm

24 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jochen Kamm Sweden	13	340	137	52	35	30	27	390
Masashi Endo United States	11	280 0.8×	169 1.2×	24 0.5×	29 0.8×	17 0.6×	37	306
Zhaoxi Chen China	12	260 0.8×	104 0.8×	36 0.7×	90 2.6×	37 1.2×	40	331
Hao Dong China	18	800 2.4×	142 1.0×	124 2.4×	26 0.7×	40 1.3×	53	854
T. Ishido Japan	7	494 1.5×	180 1.3×	69 1.3×	17 0.5×	13 0.4×	21	530
Andreas Junge Germany	14	496 1.5×	218 1.6×	27 0.5×	41 1.2×	63 2.1×	40	562
Josef Pek Czechia	13	569 1.7×	253 1.8×	52 1.0×	35 1.0×	69 2.3×	49	616
Kristofer Davis United States	10	359 1.1×	218 1.6×	26 0.5×	91 2.6×	36 1.2×	29	402
Vanderlei C. Oliveira Brazil	11	334 1.0×	115 0.8×	21 0.4×	94 2.7×	78 2.6×	35	369
Alexander Kaufman United States	9	483 1.4×	360 2.6×	18 0.3×	35 1.0×	22 0.7×	15	561
Vahid E. Ardestani Iran	10	299 0.9×	105 0.8×	34 0.7×	79 2.3×	12 0.4×	48	357

Countries citing papers authored by Jochen Kamm

Since Specialization

Citations

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

Fields of papers citing papers by Jochen Kamm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Kamm

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

All Works

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20 of 20 papers shown

Hill, Graham J., Philip E. Wannamaker, Virginie Maris, et al.. (2025). Deformation Controlled Fluid Mass‐Transfer Processes in Ancient Orogens. Geophysical Research Letters. 52(6).

Kamm, Jochen, et al.. (2024). Petrophysical cobalt exploration indicators in Kuusamo, northern Finland. Ore Geology Reviews. 175. 106372–106372.

Deparis, Jacques, F. Bretaudeau, Julien Gance, et al.. (2024). Ground Electrical and Electromagnetic Methods for Deep Mineral Exploration – Results from the SEEMS Deep Project. 1–5. 1 indexed citations

Kamm, Jochen, et al.. (2024). DroneSOM – More Precise, Efficient, and Environmentally Friendly Mineral Exploration. 1–5. 1 indexed citations

Górszczyk, Andrzej, Jochen Kamm, Suvi Heinonen, et al.. (2024). Integrating Seismic and Electromagnetic Methods for Deep Mineral Exploration – Results from the SEEMS DEEP Project. 1–5. 1 indexed citations

Grayver, Alexander, Matthew J. Comeau, A. V. Kuvshinov, et al.. (2020). Magnetotelluric multiscale 3-D inversion reveals crustal and upper mantle structure beneath the Hangai and Gobi-Altai region in Mongolia. Geophysical Journal International. 221(2). 1002–1028. 49 indexed citations

Kamm, Jochen, et al.. (2018). On the accuracy of the Complex-Step-Finite-Difference method. Journal of Computational and Applied Mathematics. 340. 390–403. 20 indexed citations

Pedersen, Laust B., et al.. (2016). Extracting geoelectrical maps from vintage very-low-frequency airborne data, tipper inversion, and interpretation: A case study from northern Sweden. Geophysics. 81(5). B135–B147. 6 indexed citations

Pedersen, Laust B., et al.. (2016). Consistency investigation, vertical gravity estimation, and inversion of airborne gravity gradient data — A case study from northern Sweden. Geophysics. 81(3). B65–B76. 12 indexed citations

10.

Malehmir, Alireza, M. Andersson, Bojan Brodic, et al.. (2016). Post-glacial reactivation of the Bollnäs fault, central Sweden – a multidisciplinary geophysical investigation. Solid Earth. 7(2). 509–527. 24 indexed citations

11.

Kamm, Jochen, et al.. (2015). Joint inversion of gravity, magnetic, and petrophysical data — A case study from a gabbro intrusion in Boden, Sweden. Geophysics. 80(5). B131–B152. 58 indexed citations

12.

Juhojuntti, Niklas & Jochen Kamm. (2015). Joint inversion of seismic refraction and resistivity data using layered models — Applications to groundwater investigation. Geophysics. 80(1). EN43–EN55. 20 indexed citations

13.

Smirnov, Maxim, Alan G. Jones, L. B. Pedersen, et al.. (2015). Magnetotelluric array data analysis from north-west Fennoscandia. Tectonophysics. 653. 1–19. 29 indexed citations

14.

Pedersen, Laust B., Mehrdad Bastani, & Jochen Kamm. (2015). Gravity gradient and magnetic terrain effects for airborne applications — A practical fast Fourier transform technique. Geophysics. 80(2). J19–J26. 13 indexed citations

15.

Malehmir, Alireza, M. Andersson, Bojan Brodic, et al.. (2015). Post-glacial reactivation of the Bollnäs fault, central Sweden. 5 indexed citations

16.

Kamm, Jochen & Helle Pedersen. (2014). Inversion of airborne tensor VLF data using integral equations. Geophysical Journal International. 198(2). 775–794. 21 indexed citations

17.

Smirnov, Maxim, T. Korja, P. Kaikkonen, et al.. (2014). Crustal structure beneath southern Norway imaged by magnetotellurics. Tectonophysics. 628. 55–70. 12 indexed citations

18.

Kamm, Jochen, Michael Becken, & Laust B. Pedersen. (2013). Inversion of slingram electromagnetic induction data using a Born approximation. Geophysics. 78(4). E201–E212. 14 indexed citations

19.

Kamm, Jochen, Michael Becken, & U. Yaramanci. (2009). Inversion of Magnetic Resonance Sounding with Wavelet Basis Functions. 2 indexed citations

20.

Braun, Martina, Jochen Kamm, & U. Yaramanci. (2009). Simultaneous inversion of magnetic resonance sounding in terms of water content, resistivity and decay times. Near Surface Geophysics. 7(5-6). 589–598. 11 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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