Mark Naylor

3.1k total citations
71 papers, 2.0k citations indexed

About

Mark Naylor is a scholar working on Geophysics, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Mark Naylor has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Geophysics, 21 papers in Environmental Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Mark Naylor's work include earthquake and tectonic studies (32 papers), CO2 Sequestration and Geologic Interactions (18 papers) and Earthquake Detection and Analysis (16 papers). Mark Naylor is often cited by papers focused on earthquake and tectonic studies (32 papers), CO2 Sequestration and Geologic Interactions (18 papers) and Earthquake Detection and Analysis (16 papers). Mark Naylor collaborates with scholars based in United Kingdom, United States and France. Mark Naylor's co-authors include Ian Main, Hugh D. Sinclair, Neil Burnside, Andrew Bell, Mikaël Attal, R. Stuart Haszeldine, Michael Swift, P. A. Cowie, Mark Wilkinson and Michael J. Heap and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Mark Naylor

70 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Naylor United Kingdom 25 900 450 418 336 258 71 2.0k
Manoochehr Shirzaei United States 32 1.3k 1.4× 447 1.0× 599 1.4× 319 0.9× 321 1.2× 99 3.0k
Mark A. Hallworth United Kingdom 24 671 0.7× 609 1.4× 466 1.1× 788 2.3× 402 1.6× 33 2.5k
Niels Balling Denmark 28 1.4k 1.6× 229 0.5× 976 2.3× 235 0.7× 327 1.3× 83 2.9k
Ulrich Kueppers Germany 29 1.5k 1.7× 192 0.4× 771 1.8× 313 0.9× 242 0.9× 119 2.7k
Ross C. Kerr Australia 33 2.1k 2.3× 271 0.6× 962 2.3× 355 1.1× 171 0.7× 76 3.6k
Stephen J. Martel United States 28 1.7k 1.9× 338 0.8× 539 1.3× 181 0.5× 201 0.8× 56 2.6k
Matteo Massironi Italy 29 989 1.1× 146 0.3× 701 1.7× 194 0.6× 141 0.5× 231 2.8k
Claudia Troise Italy 32 1.8k 2.0× 252 0.6× 251 0.6× 162 0.5× 210 0.8× 101 2.6k
Philippe Pézard France 25 1.3k 1.4× 337 0.7× 190 0.5× 174 0.5× 406 1.6× 79 1.8k
Raymond C. Fletcher United States 29 1.5k 1.7× 224 0.5× 534 1.3× 377 1.1× 153 0.6× 57 2.6k

Countries citing papers authored by Mark Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Mark Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Naylor

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Naylor. A scholar is included among the top collaborators of Mark Naylor 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 Mark Naylor. Mark Naylor 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.
Naylor, Mark, et al.. (2025). Enhancing the ETAS model: incorporating rate-dependent incompleteness, constructing a representative data set and reducing bias in inversions. Geophysical Journal International. 242(1). 1 indexed citations
2.
Attal, Mikaël, et al.. (2024). Downstream rounding rate of pebbles in the Himalaya. Earth Surface Dynamics. 12(2). 515–536. 3 indexed citations
3.
Naylor, Mark, et al.. (2024). Sounding out the river: Seismic and hydroacoustic monitoring of bedload transport. Earth Surface Processes and Landforms. 49(12). 3840–3854.
4.
Lindgren, Finn, et al.. (2023). Approximation of Bayesian Hawkes process with inlabru. Environmetrics. 34(5). 7 indexed citations
5.
6.
Naylor, Mark, et al.. (2022). Pseudo-prospective testing of 5-year earthquake forecasts for California using inlabru. Natural hazards and earth system sciences. 22(10). 3231–3246. 7 indexed citations
7.
Naylor, Mark, et al.. (2020). Data‐Driven Optimization of Seismicity Models Using Diverse Data Sets: Generation, Evaluation, and Ranking Using Inlabru. Journal of Geophysical Research Solid Earth. 125(11). 12 indexed citations
8.
9.
Sinclair, Hugh D., et al.. (2020). Post‐orogenic sediment drape in the Northern Pyrenees explained using a box model. Basin Research. 33(1). 118–137. 6 indexed citations
10.
Naylor, Mark, et al.. (2019). Probabilistic identification of earthquake clusters using rescaled nearest neighbour distance networks. Geophysical Journal International. 217(1). 487–503. 22 indexed citations
11.
Calder, Eliza S., Karen Fontijn, Joaquín A. Cortés, et al.. (2019). Fluidal pyroclasts reveal the intensity of peralkaline rhyolite pumice cone eruptions. Nature Communications. 10(1). 2010–2010. 20 indexed citations
12.
Marrero, Shasta M., Andrew S. Hein, Mark Naylor, et al.. (2018). Controls on subaerial erosion rates in Antarctica. Earth and Planetary Science Letters. 501. 56–66. 26 indexed citations
13.
Attal, Mikaël, Simon M. Mudd, Martin D. Hurst, et al.. (2015). Impact of change in erosion rate and landscape steepness on hillslope and fluvial sediments grain size in the Feather River basin (Sierra Nevada, California). Earth Surface Dynamics. 3(1). 201–222. 111 indexed citations
14.
Pickup, Gillian Elizabeth, Eric Mackay, Adrian Christopher Todd, et al.. (2012). Static and Dynamic Estimates of CO2-Storage Capacity in Two Saline Formations in the UK. SPE Journal. 17(4). 1108–1118. 31 indexed citations
15.
Zechar, J. D., Jeanne L. Hardebeck, Andrew J. Michael, et al.. (2011). CORSSA: Community Online Resource for Statistical Seismicity Analysis. AGUFM. 2011. 2 indexed citations
16.
Naylor, Mark, et al.. (2010). Earthquake interevent time distributions reflect the proportion of dependent and independent events pairs and are therefore not universal. EGU General Assembly Conference Abstracts. 8699. 1 indexed citations
17.
Naylor, Mark, Simon M. Mudd, & Kyungsoo Yoo. (2010). Markov Chain Monte Carlo (MCMC) Inversion of Hillslope Elevation and Soil Thickness Data for the Baselevel History. EGU General Assembly Conference Abstracts. 8745. 1 indexed citations
18.
Naylor, Mark, et al.. (2009). Origin and Nonuniversality of the Earthquake Interevent Time Distribution. Physical Review Letters. 102(16). 168501–168501. 1 indexed citations
19.
Naylor, Mark, et al.. (2005). Faraday tilting of water-immersed granular beds. Physical Review E. 71(1). 11308–11308. 27 indexed citations
20.
Naylor, Mark, Michael Swift, & P. J. King. (2003). Air-driven Brazil nut effect. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(1). 12301–12301. 52 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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