Brian Baptie

3.6k total citations · 2 hit papers
80 papers, 2.4k citations indexed

About

Brian Baptie is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Brian Baptie has authored 80 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Geophysics, 19 papers in Ocean Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Brian Baptie's work include Seismic Waves and Analysis (43 papers), earthquake and tectonic studies (42 papers) and Seismic Imaging and Inversion Techniques (27 papers). Brian Baptie is often cited by papers focused on Seismic Waves and Analysis (43 papers), earthquake and tectonic studies (42 papers) and Seismic Imaging and Inversion Techniques (27 papers). Brian Baptie collaborates with scholars based in United Kingdom, United States and Italy. Brian Baptie's co-authors include Richard Luckett, Andrew Curtis, Jürgen Neuberg, Knut Olsen, Erica Galetti, Ryan Schultz, Robert J. Skoumal, William L. Ellsworth, M. R. Brudzinski and B. Voight and has published in prestigious journals such as Science, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Brian Baptie

77 papers receiving 2.3k citations

Hit Papers

Hydraulic Fracturing‐Induced Seismicity 2018 2026 2020 2023 2020 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Baptie United Kingdom 24 2.0k 435 309 190 189 80 2.4k
Philippe Jousset Germany 27 1.9k 1.0× 479 1.1× 407 1.3× 347 1.8× 192 1.0× 104 2.6k
Charlotte M. Krawczyk Germany 27 2.2k 1.1× 337 0.8× 529 1.7× 319 1.7× 109 0.6× 134 2.8k
Michael Weber Germany 30 2.7k 1.4× 259 0.6× 353 1.1× 236 1.2× 85 0.4× 99 3.0k
Anthony Sladen France 29 3.7k 1.9× 616 1.4× 247 0.8× 229 1.2× 238 1.3× 78 4.1k
T. Ryberg Germany 31 2.7k 1.4× 367 0.8× 370 1.2× 236 1.2× 68 0.4× 116 3.0k
Douglas S. Dreger United States 40 4.7k 2.4× 861 2.0× 354 1.1× 123 0.6× 672 3.6× 128 5.2k
Richard Luckett United Kingdom 21 1.5k 0.7× 304 0.7× 133 0.4× 141 0.7× 53 0.3× 51 1.8k
Nathaniel J. Lindsey United States 17 1.6k 0.8× 617 1.4× 769 2.5× 630 3.3× 190 1.0× 33 2.1k
Roman Pevzner Australia 24 1.8k 0.9× 458 1.1× 1.0k 3.4× 286 1.5× 98 0.5× 243 2.8k
R. J. Mellors United States 24 1.6k 0.8× 299 0.7× 394 1.3× 68 0.4× 99 0.5× 90 2.1k

Countries citing papers authored by Brian Baptie

Since Specialization
Citations

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

Fields of papers citing papers by Brian Baptie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Baptie

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Baptie. A scholar is included among the top collaborators of Brian Baptie 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 Brian Baptie. Brian Baptie 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.
Segou, Margarita, et al.. (2025). Towards a deep learning approach for short-term data-driven spatiotemporal seismicity rate forecasting. Earth Planets and Space. 77(1).
2.
Smedley, Pauline, Brian Baptie, Robert S. Ward, et al.. (2024). Equipping for risk: Lessons learnt from the UK shale-gas experience on assessing environmental risks for the future geoenergy use of the deep subsurface. The Science of The Total Environment. 921. 171036–171036. 3 indexed citations
3.
Marra, Giuseppe, Valey Kamalov, Mattia Cantono, et al.. (2023). Transforming Subsea Optical Cables into a Giant Network of Environmental Sensors. M2C.1–M2C.1. 1 indexed citations
4.
Marra, Giuseppe, Valey Kamalov, Mattia Cantono, et al.. (2022). Optical interferometry–based array of seafloor environmental sensors using a transoceanic submarine cable. Science. 376(6595). 874–879. 89 indexed citations
5.
Hicks, Stephen, James P. Verdon, Brian Baptie, et al.. (2019). A Shallow Earthquake Swarm Close to Hydrocarbon Activities: Discriminating between Natural and Induced Causes for the 2018–2019 Surrey, United Kingdom, Earthquake Sequence. Seismological Research Letters. 90(6). 2095–2110. 15 indexed citations
6.
Marra, Giuseppe, Cecilia Clivati, Richard Luckett, et al.. (2019). A global network for underwater earthquake detection using the existing submarine optical fibre network. EGU General Assembly Conference Abstracts. 5473. 1 indexed citations
7.
Hammond, J. O. S., Richard England, Nicholas Rawlinson, et al.. (2019). The future of passive seismic acquisition. Astronomy & Geophysics. 60(2). 2.37–2.42. 11 indexed citations
8.
Clivati, Cecilia, Brian Baptie, André Xuereb, et al.. (2019). Earthquakes detection with optical fibers. 1–2. 2 indexed citations
9.
Marra, Giuseppe, Cecilia Clivati, Richard Luckett, et al.. (2018). Ultrastable laser interferometry for earthquake detection with terrestrial and submarine cables. Science. 361(6401). 486–490. 237 indexed citations breakdown →
10.
Schlaphorst, David, Elena Melekhova, J. M. Kendall, et al.. (2018). Crustal Structure Variation Along the Lesser Antilles Arc Inferred from Seismology and Petrology. EGUGA. 15778. 1 indexed citations
11.
Bommer, Julian J., Brian Baptie, Juliet Bird, et al.. (2015). An evaluation of attenuation relationships for seismic hazard assessment in the UK. 8(4). 260–70. 2 indexed citations
12.
Galetti, Erica, Andrew Curtis, Giovanni Angelo Meles, & Brian Baptie. (2015). Uncertainty Loops in Travel-Time Tomography from Nonlinear Wave Physics. Physical Review Letters. 114(14). 148501–148501. 68 indexed citations
13.
Schlaphorst, David, J. M. Kendall, Jon Blundy, et al.. (2014). Observations and modeling of the crustal structure and Moho strength variation along the Lesser Antilles Arc. 2014 AGU Fall Meeting. 2014. 1 indexed citations
14.
Galetti, Erica, et al.. (2013). Transdimensional Love-wave tomography of the British Isles. EGUGA. 13193. 1 indexed citations
15.
Ottemöller, Lars, S. Sargeant, & Brian Baptie. (2009). The ML 5.2 Lincolnshire earthquake in 2008: A high stress drop event. EGU General Assembly Conference Abstracts. 9770.
16.
Curtis, A. R., et al.. (2008). Chicken or Egg? Turning Earthquakes Into Virtual Seismometers. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
17.
Sargeant, S., Lars Ottemöller, & Brian Baptie. (2008). A Comparison of two Recent Damaging Earthquakes in the UK. AGUFM. 2008. 1 indexed citations
18.
Baptie, Brian, et al.. (2003). The Manchester earthquake swarm of October 2002. EAEJA. 10286. 4 indexed citations
19.
Young, S. R., Paul Cole, Eliza S. Calder, et al.. (1999). Dome collapse and vulcanian explosive activity, September to October 1997. MVO Special Report 5. Archive ouverte UNIGE (University of Geneva). 1 indexed citations
20.
Baptie, Brian & Stuart Crampin. (1994). Shear wave anisotropy from multicomponent VSP data, Iatan East Howard Field, Texas. 1 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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