Matthew J. Brain

1.6k total citations
43 papers, 1.1k citations indexed

About

Matthew J. Brain is a scholar working on Atmospheric Science, Management, Monitoring, Policy and Law and Earth-Surface Processes. According to data from OpenAlex, Matthew J. Brain has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 18 papers in Management, Monitoring, Policy and Law and 17 papers in Earth-Surface Processes. Recurrent topics in Matthew J. Brain's work include Landslides and related hazards (17 papers), Geology and Paleoclimatology Research (14 papers) and Coastal and Marine Dynamics (9 papers). Matthew J. Brain is often cited by papers focused on Landslides and related hazards (17 papers), Geology and Paleoclimatology Research (14 papers) and Coastal and Marine Dynamics (9 papers). Matthew J. Brain collaborates with scholars based in United Kingdom, United States and Singapore. Matthew J. Brain's co-authors include Nick Rosser, David N. Petley, R. J. Hardy, Jack G. Williams, Benjamin P. Horton, Michael Lim, Antony J. Long, Niamh Cahill, A. Afana and Andrew C. Kemp and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Earth and Planetary Science Letters.

In The Last Decade

Matthew J. Brain

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Brain United Kingdom 21 466 431 408 286 164 43 1.1k
Adam P. Young United States 22 299 0.6× 857 2.0× 228 0.6× 348 1.2× 230 1.4× 57 1.2k
Stéphane Costa France 19 344 0.7× 512 1.2× 201 0.5× 179 0.6× 247 1.5× 80 1.1k
Michael Dietze Germany 21 600 1.3× 279 0.6× 324 0.8× 237 0.8× 124 0.8× 68 1.2k
Martin D. Hurst United Kingdom 23 704 1.5× 621 1.4× 539 1.3× 642 2.2× 159 1.0× 65 1.5k
Gianluigi Di Paola Italy 19 284 0.6× 513 1.2× 130 0.3× 185 0.6× 66 0.4× 40 788
Cherith Moses United Kingdom 19 307 0.7× 661 1.5× 142 0.3× 161 0.6× 88 0.5× 55 927
Fabio Matano Italy 19 288 0.6× 279 0.6× 373 0.9× 67 0.2× 134 0.8× 65 1.1k
Sarah J. Boulton United Kingdom 20 639 1.4× 419 1.0× 327 0.8× 159 0.6× 74 0.5× 51 1.3k
Adriano Ribolini Italy 21 1.2k 2.5× 310 0.7× 525 1.3× 117 0.4× 65 0.4× 90 1.6k
Ines Alberico Italy 19 372 0.8× 223 0.5× 168 0.4× 193 0.7× 34 0.2× 56 964

Countries citing papers authored by Matthew J. Brain

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Brain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Brain. 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 Matthew J. Brain. The network helps show where Matthew J. Brain may publish in the future.

Co-authorship network of co-authors of Matthew J. Brain

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Brain. A scholar is included among the top collaborators of Matthew J. Brain 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 Matthew J. Brain. Matthew J. Brain 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.
2.
Garrett, Ed, et al.. (2023). Resolving Uncertainties in Foraminifera-Based Relative Sea-Level Reconstruction: a Case Study from Southern New Zealand. The Journal of Foraminiferal Research. 53(1). 78–89. 1 indexed citations
3.
Hein, Christopher J., et al.. (2023). FROM CORES TO CODE: ENHANCING DATA-MODEL INTEGRATION TO IMPROVE FORECASTS OF COASTAL CHANGE – AN INTRODUCTION TO IGCP PROJECT 725. Durham Research Online (Durham University). 2340–2354. 1 indexed citations
4.
Corbett, D. Reide, Jennifer Walker, Robert E. Kopp, et al.. (2022). Common Era Sea-Level Budgets along the U.S. Atlantic Coast. The Scholarship East Carolina University's Institutional Repository (East Carolina University). 38 indexed citations
5.
Brain, Matthew J. & Nick Rosser. (2022). Mass movements. Geological Society London Memoirs. 58(1). 227–239. 2 indexed citations
6.
Walker, Jennifer, Tanghua Li, Timothy A. Shaw, et al.. (2022). A 5000-year record of relative sea-level change in New Jersey, USA. The Holocene. 33(2). 167–180. 8 indexed citations
7.
Walker, Jennifer, Robert E. Kopp, Timothy A. Shaw, et al.. (2021). Common Era sea-level budgets along the U.S. Atlantic coast. Nature Communications. 12(1). 1841–1841. 2 indexed citations
8.
Brain, Matthew J., et al.. (2021). Controls on Post‐Seismic Landslide Behavior in Brittle Rocks. Journal of Geophysical Research Earth Surface. 126(9). 16 indexed citations
9.
Swirad, Zuzanna, Nick Rosser, Matthew J. Brain, et al.. (2020). Cosmogenic exposure dating reveals limited long-term variability in erosion of a rocky coastline. Nature Communications. 11(1). 3804–3804. 26 indexed citations
10.
Vane, Christopher H., Alexander W. Kim, Vicky Moss‐Hayes, et al.. (2020). Organic pollutants, heavy metals and toxicity in oil spill impacted salt marsh sediment cores, Staten Island, New York City, USA. Marine Pollution Bulletin. 151. 110721–110721. 26 indexed citations
11.
Benjamin, Jessica, Nick Rosser, & Matthew J. Brain. (2020). Emergent characteristics of rockfall inventories captured at a regional scale. Earth Surface Processes and Landforms. 45(12). 2773–2787. 28 indexed citations
12.
Williams, Jack M., Nick Rosser, Richard Richard, & Matthew J. Brain. (2019). The Importance of Monitoring Interval for Rockfall Magnitude-Frequency Estimation. Zenodo (CERN European Organization for Nuclear Research).
13.
Williams, Jack G., Nick Rosser, R. J. Hardy, & Matthew J. Brain. (2019). The Importance of Monitoring Interval for Rockfall Magnitude‐Frequency Estimation. Journal of Geophysical Research Earth Surface. 124(12). 2841–2853. 61 indexed citations
14.
Rosser, Nick, et al.. (2018). Alongshore variability in wave energy transfer to coastal cliffs. Geomorphology. 322. 1–14. 16 indexed citations
15.
Williams, Jack G., Nick Rosser, R. J. Hardy, Matthew J. Brain, & A. Afana. (2018). Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency. Earth Surface Dynamics. 6(1). 101–119. 115 indexed citations
16.
Brain, Matthew J., et al.. (2017). The control of earthquake sequences on hillslope stability. Geophysical Research Letters. 44(2). 865–872. 23 indexed citations
17.
Rosser, Nick, Jack Williams, R. J. Hardy, & Matthew J. Brain. (2017). Insights from high frequency monitoring of coastal cliff erosion. EGU General Assembly Conference Abstracts. 4749. 1 indexed citations
18.
Williams, Jack G., Nick Rosser, R. J. Hardy, Matthew J. Brain, & A. Afana. (2017). Optimising 4D Approaches to Surface Change Detection: Improving Understanding of Rockfall Magnitude-Frequency. 10 indexed citations
19.
Long, Antony J., Natasha Barlow, W. Roland Gehrels, et al.. (2013). Contrasting records of sea-level change in the eastern and western North Atlantic during the last 300 years. Earth and Planetary Science Letters. 388. 110–122. 35 indexed citations
20.
Barlow, John, et al.. (2011). Modeling cliff erosion using negative power law scaling of rockfalls. Geomorphology. 139-140. 416–424. 67 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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