Daniel Peter

2.8k total citations · 1 hit paper
79 papers, 2.0k citations indexed

About

Daniel Peter is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel Peter has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Geophysics, 25 papers in Ocean Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Daniel Peter's work include Seismic Imaging and Inversion Techniques (64 papers), Seismic Waves and Analysis (44 papers) and earthquake and tectonic studies (15 papers). Daniel Peter is often cited by papers focused on Seismic Imaging and Inversion Techniques (64 papers), Seismic Waves and Analysis (44 papers) and earthquake and tectonic studies (15 papers). Daniel Peter collaborates with scholars based in Saudi Arabia, United States and Canada. Daniel Peter's co-authors include Jeroen Tromp, E. Bozdağ, Dimitri Komatitsch, Oleg Ovcharenko, Hejun Zhu, Vladimir Kazei, Tariq Alkhalifah, Yang Luo, Judith Hill and Norbert Podhorszki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Geophysical Research Letters.

In The Last Decade

Daniel Peter

72 papers receiving 2.0k citations

Hit Papers

Global adjoint tomography—model GLAD-M25 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Peter Saudi Arabia 20 1.8k 529 254 236 84 79 2.0k
Carl Tape United States 29 3.2k 1.7× 560 1.1× 397 1.6× 213 0.9× 100 1.2× 88 3.4k
Zhenxing Yao China 25 2.2k 1.2× 385 0.7× 303 1.2× 117 0.5× 78 0.9× 127 2.6k
Hejun Zhu United States 26 1.8k 1.0× 583 1.1× 106 0.4× 350 1.5× 104 1.2× 108 2.1k
Jeffrey Shragge United States 19 1.1k 0.6× 456 0.9× 126 0.5× 173 0.7× 84 1.0× 125 1.3k
Tarje Nissen‐Meyer United Kingdom 23 1.8k 1.0× 239 0.5× 207 0.8× 87 0.4× 95 1.1× 60 2.1k
Yann Capdeville France 28 2.2k 1.2× 488 0.9× 207 0.8× 119 0.5× 218 2.6× 86 2.6k
E. Bozdağ United States 18 1.8k 1.0× 397 0.8× 137 0.5× 185 0.8× 52 0.6× 46 1.9k
Kasper van Wijk United States 24 1.4k 0.7× 665 1.3× 269 1.1× 139 0.6× 290 3.5× 104 1.7k
Siwei Yu China 11 864 0.5× 382 0.7× 221 0.9× 153 0.6× 67 0.8× 30 1.1k
Thomas Bohlen Germany 26 2.3k 1.2× 1.3k 2.4× 150 0.6× 188 0.8× 227 2.7× 111 2.5k

Countries citing papers authored by Daniel Peter

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Peter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Peter

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Peter. A scholar is included among the top collaborators of Daniel Peter 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 Daniel Peter. Daniel Peter 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.
Fichtner, Andreas, et al.. (2024). The impact of ambient noise sources in subsurface models estimated from noise correlation waveforms. Geophysical Journal International. 239(1). 85–98. 3 indexed citations
2.
Martín, P., et al.. (2023). Resolution and trade-offs in global anelastic full-waveform inversion. Geophysical Journal International. 236(2). 952–966.
3.
Peter, Daniel, et al.. (2022). Cycle-skipping mitigation using misfit measurements based on differentiable dynamic time warping. Geophysics. 87(4). R325–R335. 7 indexed citations
4.
Peter, Daniel, et al.. (2022). Reduction of wind-turbine-generated seismic noise with structural measures. Wind energy science. 7(3). 1227–1239. 5 indexed citations
5.
Kendall, E.J.M., et al.. (2021). Constraints on the Upper Mantle Structure Beneath the Pacific From 3‐D Anisotropic Waveform Modeling. Journal of Geophysical Research Solid Earth. 126(4). 3 indexed citations
6.
Prada, Manel, Jean‐Paul Ampuero, Valentı́ Sallarès, et al.. (2021). The Influence of Depth‐Varying Elastic Properties of the Upper Plate on Megathrust Earthquake Rupture Dynamics and Tsunamigenesis. Journal of Geophysical Research Solid Earth. 126(11). 17 indexed citations
7.
Kazei, Vladimir, et al.. (2021). Mapping full seismic waveforms to vertical velocity profiles by deep learning. Geophysics. 86(5). R711–R721. 85 indexed citations
8.
Peter, Daniel, et al.. (2021). Toward autonomous event identification in wave-equation traveltime inversion. Geophysics. 86(6). R839–R848. 2 indexed citations
9.
Akram, Jubran, et al.. (2021). Automatic seismic phase picking based on unsupervised machine-learning classification and content information analysis. Geophysics. 86(4). V299–V315. 14 indexed citations
10.
Liu, Qiancheng & Daniel Peter. (2020). Square‐Root Variable Metric‐Based Nullspace Shuttle: A Characterization of the Nonuniqueness in Elastic Full‐Waveform Inversion. Journal of Geophysical Research Solid Earth. 125(2). 9 indexed citations
11.
Liu, Qiancheng & Daniel Peter. (2019). Square-root variable metric based elastic full-waveform inversion—Part 2: uncertainty estimation. Geophysical Journal International. 218(2). 1100–1120. 27 indexed citations
12.
Liu, Qiancheng, Daniel Peter, & Carl Tape. (2019). Square-root variable metric based elastic full-waveform inversion – Part 1: theory and validation. Geophysical Journal International. 218(2). 1121–1135. 14 indexed citations
13.
Liu, Qiancheng & Daniel Peter. (2018). One-step data-domain least-squares reverse time migration. Geophysics. 83(4). R361–R368. 38 indexed citations
14.
Peter, Daniel, et al.. (2018). Earthquake cycle modeling of curvilinear non-planar faults: 1992, Landers earthquake sequence.. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
15.
Bozdağ, E., Matthieu Lefèbvre, Wenjie Lei, et al.. (2015). Plumes, Hotspot & Slabs Imaged by Global Adjoint Tomography. 2015 AGU Fall Meeting. 2015. 1 indexed citations
16.
Bozdağ, E., Matthieu Lefèbvre, Wenjie Lei, et al.. (2014). Big Data and High-Performance Computing in Global Seismology. EGU General Assembly Conference Abstracts. 16606.
17.
Bozdağ, E., M. Lefebvre, Wenjie Lei, et al.. (2013). Global Seismic Imaging Based on Adjoint Tomography. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
18.
Magnoni, Federica, Emanuele Casarotti, Alberto Michelini, et al.. (2012). Spectral-Element and Adjoint 3D Tomography for the Lithosphere of Central Italy. EGUGA. 7506.
19.
Zhu, Hejun, E. Bozdağ, Daniel Peter, & Jeroen Tromp. (2012). Adjoint tomography reveals structure of the European Upper Mantle. EGUGA. 1534. 1 indexed citations
20.
Boschi, Lapo & Daniel Peter. (2004). Global Multi-Resolution Models of Surface Wave Propagation: the Effects of Scattering.. AGUFM. 2004. 2 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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