Malcolm Sambridge

18.6k total citations · 6 hit papers
166 papers, 13.5k citations indexed

About

Malcolm Sambridge is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Malcolm Sambridge has authored 166 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Geophysics, 42 papers in Ocean Engineering and 29 papers in Artificial Intelligence. Recurrent topics in Malcolm Sambridge's work include Seismic Imaging and Inversion Techniques (66 papers), Seismic Waves and Analysis (49 papers) and earthquake and tectonic studies (43 papers). Malcolm Sambridge is often cited by papers focused on Seismic Imaging and Inversion Techniques (66 papers), Seismic Waves and Analysis (49 papers) and earthquake and tectonic studies (43 papers). Malcolm Sambridge collaborates with scholars based in Australia, United Kingdom and United States. Malcolm Sambridge's co-authors include Nicholas Rawlinson, Thomas Bodin, Kerry Gallagher, Klaus Mosegaard, B. L. N. Kennett, Jean Braun, Anthony Purcell, Kurt Lambeck, Hélène Rouby and Yiying Sun and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Malcolm Sambridge

161 papers receiving 12.9k citations

Hit Papers

Sea level and global ice ... 1994 2026 2004 2015 2014 1999 1999 2002 1994 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Malcolm Sambridge 9.2k 2.3k 2.2k 1.7k 952 166 13.5k
Michael Manga 10.2k 1.1× 832 0.4× 3.1k 1.4× 1.6k 1.0× 262 0.3× 391 16.6k
Herbert E. Huppert 5.1k 0.6× 1.5k 0.6× 3.4k 1.6× 841 0.5× 1.3k 1.4× 271 15.5k
Jean‐Philippe Avouac 21.9k 2.4× 922 0.4× 5.0k 2.3× 2.0k 1.2× 845 0.9× 320 27.0k
Donald L. Turcotte 15.9k 1.7× 787 0.3× 3.4k 1.6× 3.2k 1.9× 721 0.8× 371 27.5k
G. C. P. King 13.0k 1.4× 330 0.1× 2.0k 0.9× 1.9k 1.2× 749 0.8× 141 15.4k
Domenico Giardini 12.7k 1.4× 849 0.4× 1.3k 0.6× 1.4k 0.9× 282 0.3× 322 15.0k
Paul Wessel 18.8k 2.0× 760 0.3× 3.0k 1.4× 2.1k 1.3× 3.1k 3.3× 114 24.0k
Robert L. Parker 7.8k 0.8× 2.4k 1.0× 1.7k 0.8× 563 0.3× 1.5k 1.5× 180 11.8k
Andrew W. Woods 3.1k 0.3× 1.2k 0.5× 2.3k 1.1× 293 0.2× 336 0.4× 266 8.6k
Kerry Gallagher 7.6k 0.8× 402 0.2× 2.2k 1.0× 2.4k 1.5× 171 0.2× 141 10.1k

Countries citing papers authored by Malcolm Sambridge

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Sambridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Sambridge

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Sambridge. A scholar is included among the top collaborators of Malcolm Sambridge 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 Malcolm Sambridge. Malcolm Sambridge 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.
Sambridge, Malcolm, A. P. Valentine, & Juerg Hauser. (2025). Trans‐Conceptual Sampling: Bayesian Inference With Competing Assumptions. Journal of Geophysical Research Solid Earth. 130(8).
2.
He, Jiawen, et al.. (2025). BayesBay: A Versatile Bayesian Inversion Framework Written in Python. Seismological Research Letters. 96(3). 2052–2064.
3.
Valentine, A. P., et al.. (2022). Upscaling and downscaling Monte Carlo ensembles with generative models. Geophysical Journal International. 230(2). 916–931. 9 indexed citations
4.
Tkalčić, ‪Hrvoje, et al.. (2021). Lowermost Mantle Shear‐Velocity Structure From Hierarchical Trans‐Dimensional Bayesian Tomography. Journal of Geophysical Research Solid Earth. 126(9). 8 indexed citations
5.
Miller, Meghan S., et al.. (2021). Small-scale heterogeneity in the lowermost mantle beneath Alaska and northern Pacific revealed from shear-wave triplications. Earth and Planetary Science Letters. 559. 116768–116768. 8 indexed citations
6.
Tkalčić, ‪Hrvoje, et al.. (2020). Evidence for the Innermost Inner Core: Robust Parameter Search for Radially Varying Anisotropy Using the Neighborhood Algorithm. Journal of Geophysical Research Solid Earth. 126(1). 22 indexed citations
7.
Gorbatov, A., Karol Czarnota, Rakib Hassan, et al.. (2019). AusArray: Toward updatable, high-resolution seismic velocity models of the Australian lithosphere. ASEG Extended Abstracts. 2019(1). 1–4. 1 indexed citations
8.
Hawkins, Rhys, et al.. (2019). Transdimensional Bayesian Attenuation Tomography of the Upper Inner Core. Journal of Geophysical Research Solid Earth. 124(2). 1929–1943. 12 indexed citations
9.
Phạm, Thanh‐Son, ‪Hrvoje Tkalčić, Malcolm Sambridge, & B. L. N. Kennett. (2018). Earth's Correlation Wavefield: Late Coda Correlation. Geophysical Research Letters. 45(7). 3035–3042. 48 indexed citations
10.
Tregoning, Paul, et al.. (2018). A statistical fracture model for Antarctic ice shelves and glaciers. ˜The œcryosphere. 12(10). 3187–3213. 9 indexed citations
11.
Tkalčić, ‪Hrvoje, et al.. (2017). Attenuation tomography of the upper inner core. Journal of Geophysical Research Solid Earth. 122(4). 3008–3032. 19 indexed citations
12.
Tauzin, Benoît, et al.. (2017). Towards a fully probabilistic reconstruction of the elastic, thermal and petrological structure of the Earth's mantle transition zone. EGU General Assembly Conference Abstracts. 5855. 1 indexed citations
13.
Zaroli, Christophe, Malcolm Sambridge, Jean‐Jacques Lévêque, E. Debayle, & Guust Nolet. (2013). An objective rationale for the choice of regularisation parameter with application to global multiple-frequency S -wave tomography. Solid Earth. 4(2). 357–371. 18 indexed citations
14.
Sambridge, Malcolm, Thomas Bodin, Anya M. Reading, & Kerry Gallagher. (2010). Inference from noisy data with an unknown number of discontinuities: ideas from outside the box.. Exploration Geophysics. 2010(1). 1–5. 2 indexed citations
15.
Reading, Anya M., et al.. (2010). Down the borehole but outside the box: innovative approaches to wireline log data interpretation. Exploration Geophysics. 2010(1). 1–4. 3 indexed citations
16.
Sambridge, Malcolm, et al.. (2009). TerraWulf II: Many hands make light work of data analysis. eCite Digital Repository (University of Tasmania). 21–23. 1 indexed citations
17.
Sambridge, Malcolm, Peter Rickwood, & Nicholas Rawlinson. (2005). Automatic Dfferentiation in Geophysical Inverse Problems. AGUFM. 2005. 1 indexed citations
18.
Brodie, Ross & Malcolm Sambridge. (2004). Holistically calibrating, processing and inverting frequency domain AEM surveys. ASEG Extended Abstracts. 2004(1). 1–4. 5 indexed citations
19.
Rawlinson, Nicholas & Malcolm Sambridge. (2004). Multiple reflection and transmission phases in complex layered media using a multistage fast marching method. Geophysics. 69(5). 1338–1350. 161 indexed citations
20.
Christie, Michael Andrew, et al.. (2002). Uncertainty reduction in reservoir modelling. Contemporary mathematics - American Mathematical Society. 457–467. 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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