Patrick Paitz

716 total citations · 1 hit paper
18 papers, 388 citations indexed

About

Patrick Paitz is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Patrick Paitz has authored 18 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Geophysics, 6 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in Patrick Paitz's work include Seismic Waves and Analysis (14 papers), Seismic Imaging and Inversion Techniques (6 papers) and Seismology and Earthquake Studies (6 papers). Patrick Paitz is often cited by papers focused on Seismic Waves and Analysis (14 papers), Seismic Imaging and Inversion Techniques (6 papers) and Seismology and Earthquake Studies (6 papers). Patrick Paitz collaborates with scholars based in Switzerland, United States and Poland. Patrick Paitz's co-authors include Andreas Fichtner, Fabian Walter, Dominik Gräff, Fabian Lindner, Małgorzata Chmiel, Pascal Edme, Cédric Schmelzbach, Jan Dettmer, Athena Chalari and Joseph Doetsch and has published in prestigious journals such as Nature Communications, Geophysical Research Letters and Geophysical Journal International.

In The Last Decade

Patrick Paitz

17 papers receiving 376 citations

Hit Papers

align trajectories

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.

Distributed acoustic sensing of microseismic sources and wave propagation in glaciated terrain

2020 179 citations Fabian Walter, Dominik Gräff et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Paitz Switzerland	8	295	131	129	124	54	18	388
Stephen Cole United States	6	409 1.4×	227 1.7×	163 1.3×	132 1.1×	35 0.6×	12	544
N. Lindsey United States	3	297 1.0×	151 1.2×	108 0.8×	106 0.9×	15 0.3×	5	357
Patrick Lamare France	4	246 0.8×	110 0.8×	99 0.8×	147 1.2×	16 0.3×	4	383
Pascal Edme Switzerland	8	223 0.8×	163 1.2×	89 0.7×	45 0.4×	14 0.3×	30	262
Zack Spica United States	20	824 2.8×	256 2.0×	297 2.3×	104 0.8×	19 0.4×	44	886
Itzhak Lior Israel	11	311 1.1×	107 0.8×	178 1.4×	59 0.5×	8 0.1×	21	373
Wilfred Berlang Netherlands	7	414 1.4×	243 1.9×	100 0.8×	171 1.4×	8 0.1×	12	527
Hanna Blanck Iceland	7	301 1.0×	131 1.0×	99 0.8×	237 1.9×	6 0.1×	18	491
S. Grandi Netherlands	7	511 1.7×	290 2.2×	121 0.9×	202 1.6×	9 0.2×	25	635
Miriam Kristeková Slovakia	11	597 2.0×	107 0.8×	52 0.4×	49 0.4×	20 0.4×	24	690

Countries citing papers authored by Patrick Paitz

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Paitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Paitz

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

All Works

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18 of 18 papers shown

Paitz, Patrick, et al.. (2025). Self‐Supervised Coherence‐Based Denoising of Cryoseismological Distributed Acoustic Sensing Data. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 2(3). 1 indexed citations

Walter, Fabian, et al.. (2025). Soil slope monitoring with Distributed Acoustic Sensing under wetting and drying cycles. Earth Surface Dynamics. 13(6). 1133–1155.

Walter, Fabian, et al.. (2024). Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning. Geophysical Research Letters. 51(19). 7 indexed citations

Bowden, Daniel, et al.. (2024). Shallow Subsurface Imaging Using Challenging Urban DAS Data. Seismological Research Letters. 96(1). 168–181. 7 indexed citations

Gräff, Dominik, Eileen Martin, Patrick Paitz, et al.. (2024). DAS to discharge: using distributed acoustic sensing (DAS) to infer glacier runoff. Journal of Glaciology. 70. 2 indexed citations

Paitz, Patrick, et al.. (2023). Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing. Journal of Geophysical Research Earth Surface. 128(5). 9 indexed citations

Bowden, Daniel, et al.. (2021). Wave-selective beamforming with Distributed Acoustic Sensing. 1 indexed citations

Paitz, Patrick, et al.. (2021). Distributed Acoustic Sensing in Volcano‐Glacial Environments—Mount Meager, British Columbia. Journal of Geophysical Research Solid Earth. 126(11). 53 indexed citations

Fichtner, Andreas, Pascal Edme, Patrick Paitz, et al.. (2021). Observing avalanche dynamics with Distributed Acoustic Sensing. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

10.

Walter, Fabian, Dominik Gräff, Fabian Lindner, et al.. (2020). Distributed acoustic sensing of microseismic sources and wave propagation in glaciated terrain. Nature Communications. 11(1). 2436–2436. 179 indexed citations breakdown →

11.

Paitz, Patrick, Pascal Edme, Cédric Schmelzbach, et al.. (2020). Distributed Acoustic Sensing from mHz to kHz: Empirical Investigations of DAS Instrument Response. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

12.

Paitz, Patrick, Pascal Edme, Dominik Gräff, et al.. (2020). Empirical Investigations of the Instrument Response for Distributed Acoustic Sensing (DAS) across 17 Octaves. Bulletin of the Seismological Society of America. 111(1). 1–10. 78 indexed citations

13.

Paitz, Patrick, et al.. (2020). Urban Distributed Acoustic Sensing Using In-Situ Fibre Beneath Bern, Switzerland. Repository for Publications and Research Data (ETH Zurich). 5 indexed citations

14.

Edme, Pascal, et al.. (2020). Surface Seismic with Distributed Acoustic Sensing: Is Trenching Worthwhile?. 1–5. 2 indexed citations

15.

Paitz, Patrick, et al.. (2019). Towards multi-observational full-waveform inversion. Repository for Publications and Research Data (ETH Zurich). 21. 8802. 1 indexed citations

16.

Paitz, Patrick, et al.. (2018). Rotation and strain ambient noise interferometry. Geophysical Journal International. 216(3). 1938–1952. 24 indexed citations

17.

Paitz, Patrick & Andreas Fichtner. (2017). Towards Noise Tomography and Passive Monitoring Using Distributed Acoustic Sensing. Seismological Research Letters. 89. 867–877. 1 indexed citations

18.

Paitz, Patrick, et al.. (2017). A neural network for noise correlation classification. Geophysical Journal International. 212(2). 1468–1474. 12 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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