M. Holschneider

7.6k total citations
152 papers, 4.2k citations indexed

About

M. Holschneider is a scholar working on Geophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, M. Holschneider has authored 152 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Geophysics, 31 papers in Molecular Biology and 30 papers in Artificial Intelligence. Recurrent topics in M. Holschneider's work include earthquake and tectonic studies (34 papers), Earthquake Detection and Analysis (28 papers) and Geomagnetism and Paleomagnetism Studies (27 papers). M. Holschneider is often cited by papers focused on earthquake and tectonic studies (34 papers), Earthquake Detection and Analysis (28 papers) and Geomagnetism and Paleomagnetism Studies (27 papers). M. Holschneider collaborates with scholars based in Germany, France and United States. M. Holschneider's co-authors include Mark Kon, Gert Zöller, Douglas Maraun, A. Arnéodo, Sebastian Hainzl, C. Narteau, П. Н. Шебалин, G. Grasseau, Dominique Gibert and Frédérique Moreau and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.

In The Last Decade

M. Holschneider

149 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Holschneider Germany 33 2.0k 711 700 662 478 152 4.2k
Andrew T. Walden United Kingdom 29 951 0.5× 975 1.4× 295 0.4× 588 0.9× 736 1.5× 110 7.6k
J. Morlet France 8 1.1k 0.5× 1.8k 2.5× 238 0.3× 354 0.5× 438 0.9× 13 5.9k
A. Großmann France 19 754 0.4× 1.8k 2.5× 179 0.3× 215 0.3× 399 0.8× 33 5.7k
L. Mansinha Canada 21 1.9k 0.9× 734 1.0× 241 0.3× 455 0.7× 438 0.9× 64 5.1k
Marie Farge France 27 368 0.2× 773 1.1× 174 0.2× 432 0.7× 115 0.2× 99 4.6k
S. Ciliberto France 46 500 0.3× 117 0.2× 666 1.0× 149 0.2× 615 1.3× 169 8.6k
Erkki Somersalo United States 36 1.3k 0.7× 338 0.5× 297 0.4× 73 0.1× 687 1.4× 181 7.2k
George Backus United States 19 2.0k 1.0× 77 0.1× 585 0.8× 458 0.7× 199 0.4× 40 3.8k
Walter Freiberger United States 13 389 0.2× 169 0.2× 228 0.3× 590 0.9× 349 0.7× 26 4.3k
F.J. Harris United States 7 376 0.2× 837 1.2× 86 0.1× 410 0.6× 301 0.6× 18 5.2k

Countries citing papers authored by M. Holschneider

Since Specialization
Citations

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

Fields of papers citing papers by M. Holschneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Holschneider

This figure shows the co-authorship network connecting the top 25 collaborators of M. Holschneider. A scholar is included among the top collaborators of M. Holschneider 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 M. Holschneider. M. Holschneider 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.
Zöller, Gert, et al.. (2024). Bayesian Earthquake Forecasting Using Gaussian Process Modeling: GP-ETAS Applications. Seismological Research Letters. 95(6). 3532–3544.
2.
3.
Beta, Carsten, et al.. (2024). Three-component contour dynamics model to simulate and analyze amoeboid cell motility in two dimensions. PLoS ONE. 19(1). e0297511–e0297511.
4.
Korte, Monika, et al.. (2023). Estimating post‐Depositional Detrital Remanent Magnetization (pDRM) Effects: A Flexible Lock‐In Function Approach. Journal of Geophysical Research Solid Earth. 128(12). 1 indexed citations
5.
Baerenzung, Julien, M. Holschneider, Jan Saynisch‐Wagner, & Maik Thomas. (2022). Kalmag: a high spatio-temporal model of the geomagnetic field. Earth Planets and Space. 74(1). 18 indexed citations
6.
Korte, Monika, et al.. (2022). ArchKalmag14k: A Kalman‐Filter Based Global Geomagnetic Model for the Holocene. Journal of Geophysical Research Solid Earth. 127(2). 31 indexed citations
7.
Trauth, Martin H., et al.. (2022). Bayesian inference about Plio-Pleistocene climate transitions in Africa. Quaternary Science Reviews. 277. 107287–107287. 5 indexed citations
8.
Beta, Carsten, et al.. (2021). Analysis of protrusion dynamics in amoeboid cell motility by means of regularized contour flows. PLoS Computational Biology. 17(8). e1009268–e1009268. 5 indexed citations
9.
Korte, Monika, et al.. (2021). Correlation Based Time Evolution of the Archeomagnetic Field. Journal of Geophysical Research Solid Earth. 126(7). 2 indexed citations
10.
Baerenzung, Julien, M. Holschneider, Johannes Wicht, Vincent Lesur, & Sabrina Sanchez. (2020). The Kalmag model as a candidate for IGRF-13. Earth Planets and Space. 72(1). 34 indexed citations
11.
Ropp, Guillaume, Vincent Lesur, Julien Baerenzung, & M. Holschneider. (2020). Sequential modelling of the Earth’s core magnetic field. Earth Planets and Space. 72(1). 29 indexed citations
12.
Holschneider, M., et al.. (2018). Modeling and Predicting the Short‐Term Evolution of the Geomagnetic Field. Journal of Geophysical Research Solid Earth. 123(6). 4539–4560. 42 indexed citations
13.
Holschneider, M., et al.. (2017). Bayesian Travel Time Inversion adopting Gaussian Process Regression. AGU Fall Meeting Abstracts. 2017. 2 indexed citations
14.
Cotronei, Mariantonia, et al.. (2016). Interpolation in reproducing kernel Hilbert spaces based on random subdivision schemes. Journal of Computational and Applied Mathematics. 311. 342–353. 1 indexed citations
15.
Holschneider, M., et al.. (2015). The earthquake history in a fault zone tells us almost nothing about m max. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
16.
Шебалин, П. Н., et al.. (2012). Combining earthquake forecast models using differential probability gains. EGU General Assembly Conference Abstracts. 11791. 2 indexed citations
17.
Holschneider, M., C. Narteau, П. Н. Шебалин, Zhigang Peng, & Danijel Schorlemmer. (2012). Bayesian analysis of the modified Omori law. Publication Database GFZ (GFZ German Research Centre for Geosciences). 3536. 4 indexed citations
18.
Panet, Isabelle, В. О. Михайлов, M. Diament, et al.. (2007). Coseismic and post-seismic signatures of the Sumatra 2004 December and 2005 March earthquakes in GRACE satellite gravity. Geophysical Journal International. 171(1). 177–190. 103 indexed citations
19.
Holschneider, M. & Yehuda Ben‐Zion. (2006). Bayesian estimation of faults geometry based on seismic catalog data. AGUFM. 2006. 1 indexed citations
20.
Panet, Isabelle, Aude Chambodut, M. Diament, M. Holschneider, & Olivier Jamet. (2006). New insights on intraplate volcanism in French Polynesia from wavelet analysis of GRACE, CHAMP, and sea surface data. Journal of Geophysical Research Atmospheres. 111(B9). 28 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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