Moritz Kirsch

1.7k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Moritz Kirsch is a scholar working on Artificial Intelligence, Media Technology and Geophysics. According to data from OpenAlex, Moritz Kirsch has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 20 papers in Media Technology and 19 papers in Geophysics. Recurrent topics in Moritz Kirsch's work include Geochemistry and Geologic Mapping (37 papers), Remote-Sensing Image Classification (20 papers) and Mineral Processing and Grinding (13 papers). Moritz Kirsch is often cited by papers focused on Geochemistry and Geologic Mapping (37 papers), Remote-Sensing Image Classification (20 papers) and Mineral Processing and Grinding (13 papers). Moritz Kirsch collaborates with scholars based in Germany, Denmark and South Africa. Moritz Kirsch's co-authors include Richard Gloaguen, Scott R. Paterson, Sandra Lorenz, Lucian Petrescu, Peter G. DeCelles, Mihai N. Ducea, James B. Chapman, Lucia Profeta, Robert Zimmermann and Laura Tuşa and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Moritz Kirsch

51 papers receiving 1.3k citations

Hit Papers

Quantifying crustal thickness over time in magmatic arcs 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantifying crustal thickness over time in magmatic arcs
    2015 405 citations Lucia Profeta, Mihai N. Ducea et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moritz Kirsch Germany 17 706 658 286 166 102 55 1.3k
S. J. Gardoll Australia 12 1.8k 2.5× 1.8k 2.7× 144 0.5× 169 1.0× 74 0.7× 17 2.2k
Matthew J. Cracknell Australia 16 366 0.5× 771 1.2× 254 0.9× 317 1.9× 25 0.2× 59 1.3k
Jon Hronsky Australia 19 2.1k 3.0× 1.9k 2.9× 281 1.0× 363 2.2× 117 1.1× 34 2.8k
Yongcheol Park South Korea 17 512 0.7× 815 1.2× 611 2.1× 216 1.3× 49 0.5× 34 1.2k
Mark Lindsay Australia 25 878 1.2× 836 1.3× 77 0.3× 133 0.8× 96 0.9× 102 1.7k
Tobias H. Kurz Norway 13 159 0.2× 229 0.3× 193 0.7× 93 0.6× 377 3.7× 20 987
Basem Zoheir Egypt 30 1.4k 2.0× 2.1k 3.2× 937 3.3× 323 1.9× 32 0.3× 110 2.6k
Louis Andreani Germany 16 305 0.4× 179 0.3× 88 0.3× 61 0.4× 43 0.4× 31 682
Arindam Guha India 19 158 0.2× 581 0.9× 518 1.8× 158 1.0× 34 0.3× 61 848
Gongwen Wang China 23 647 0.9× 1.1k 1.6× 176 0.6× 279 1.7× 32 0.3× 94 1.5k

Countries citing papers authored by Moritz Kirsch

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Kirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Kirsch

This figure shows the co-authorship network connecting the top 25 collaborators of Moritz Kirsch. A scholar is included among the top collaborators of Moritz Kirsch 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 Moritz Kirsch. Moritz Kirsch 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.
Thiele, Samuel T., et al.. (2025). Multiphysics property prediction from hyperspectral drill core data. Solid Earth. 16(4/5). 351–365.
2.
Thiele, Samuel T., René Booysen, Moritz Kirsch, et al.. (2024). A Spectral and Spatial Comparison of Satellite-Based Hyperspectral Data for Geological Mapping. Remote Sensing. 16(12). 2089–2089. 12 indexed citations
3.
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Afifi, Ahmed J., Samuel T. Thiele, Sandra Lorenz, et al.. (2023). Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 11 indexed citations
6.
Ryberg, T., Moritz Kirsch, Christian Haberland, et al.. (2022). Ambient seismic noise analysis of LARGE-N data for mineral exploration in the Central Erzgebirge, Germany. Solid Earth. 13(3). 519–533. 9 indexed citations
7.
Tolosana‐Delgado, Raimon, et al.. (2022). Automated Multi-Scale and Multivariate Geological Logging from Drill-Core Hyperspectral Data. Remote Sensing. 14(11). 2676–2676. 15 indexed citations
8.
Lorenz, Sandra, Samuel T. Thiele, Moritz Kirsch, et al.. (2022). Three-Dimensional, Km-Scale Hyperspectral Data of Well-Exposed Zn–Pb Mineralization at Black Angel Mountain, Greenland. Data. 7(8). 104–104. 5 indexed citations
9.
Thiele, Samuel T., Sandra Lorenz, Moritz Kirsch, & Richard Gloaguen. (2021). A Novel and Open-Source Illumination Correction for Hyperspectral Digital Outcrop Models. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 10 indexed citations
10.
11.
Kirsch, Moritz, et al.. (2021). Integrated Trust Sites for Innovative Ecosystems. Technology Innovation Management Review. 11(7/8). 20–32. 2 indexed citations
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13.
Wagner, Frank, et al.. (2020). Development of Sustainable Test Sites for Mineral Exploration and Knowledge Spillover for Industry. Sustainability. 12(5). 2016–2016. 11 indexed citations
14.
Thiele, Samuel T., Sandra Lorenz, Moritz Kirsch, & Richard Gloaguen. (2020). Hylite: a hyperspectral toolbox for open pit mapping. 1 indexed citations
15.
Jackisch, Robert, Sandra Lorenz, Moritz Kirsch, et al.. (2020). Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems. Remote Sensing. 12(18). 2998–2998. 31 indexed citations
16.
Kirsch, Moritz, Sandra Lorenz, Robert Zimmermann, et al.. (2018). Terrestrial long-wave infrared hyperspectral imaging for geological mapping: a case study. EGU General Assembly Conference Abstracts. 10262. 1 indexed citations
17.
Salehi, Sara, Sandra Lorenz, Erik Vest Sørensen, et al.. (2018). Integration of Vessel-Based Hyperspectral Scanning and 3D-Photogrammetry for Mobile Mapping of Steep Coastal Cliffs in the Arctic. Remote Sensing. 10(2). 175–175. 16 indexed citations
18.
Kirsch, Moritz, Sandra Lorenz, Robert Zimmermann, et al.. (2018). Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring. Remote Sensing. 10(9). 1366–1366. 88 indexed citations
19.
Komac, Marko, et al.. (2018). The next step towards the mineral exploration in Europe - project INFACT - Innovative, non-invasive and fully acceptable exploration technologies. EGUGA. 15491. 1 indexed citations
20.
Profeta, Lucia, Mihai N. Ducea, James B. Chapman, et al.. (2015). Quantifying crustal thickness over time in magmatic arcs. Scientific Reports. 5(1). 17786–17786. 405 indexed citations breakdown →

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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