Scott McDougall

3.8k total citations · 1 hit paper
57 papers, 2.4k citations indexed

About

Scott McDougall is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, Scott McDougall has authored 57 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Management, Monitoring, Policy and Law, 19 papers in Civil and Structural Engineering and 15 papers in Global and Planetary Change. Recurrent topics in Scott McDougall's work include Landslides and related hazards (40 papers), Dam Engineering and Safety (14 papers) and Cryospheric studies and observations (12 papers). Scott McDougall is often cited by papers focused on Landslides and related hazards (40 papers), Dam Engineering and Safety (14 papers) and Cryospheric studies and observations (12 papers). Scott McDougall collaborates with scholars based in Canada, Switzerland and United States. Scott McDougall's co-authors include Oldrich Hungr, Jordan Aaron, W. Andy Take, Stephen G. Evans, Natalia Nolde, A. Mitchell, Ryan P. Mulligan, Olga Tutubalina, Sergey Chernomorets and Dmitry Petrakov and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Scott McDougall

52 papers receiving 2.3k citations

Hit Papers

A model for the analysis of rapid landslide motion across... 2004 2026 2011 2018 2004 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott McDougall Canada 21 2.1k 869 713 558 421 57 2.4k
Martin Mergili Austria 30 1.9k 0.9× 431 0.5× 1.2k 1.7× 722 1.3× 302 0.7× 80 2.5k
Alessandro Simoni Italy 23 1.9k 0.9× 653 0.8× 768 1.1× 828 1.5× 320 0.8× 52 2.4k
Sabatino Cuomo Italy 25 1.9k 0.9× 1.5k 1.7× 277 0.4× 319 0.6× 513 1.2× 83 2.3k
Marcel Hürlimann Spain 31 2.3k 1.1× 579 0.7× 842 1.2× 1.1k 2.0× 327 0.8× 97 3.0k
J. N. Hutchinson United Kingdom 22 2.2k 1.1× 948 1.1× 757 1.1× 457 0.8× 690 1.6× 50 2.8k
Kunlong Yin China 20 1.4k 0.7× 817 0.9× 419 0.6× 314 0.6× 417 1.0× 51 1.7k
Olivier Maquaire France 26 1.5k 0.7× 402 0.5× 491 0.7× 679 1.2× 260 0.6× 71 2.1k
William H. Schulz United States 24 2.1k 1.0× 635 0.7× 884 1.2× 538 1.0× 416 1.0× 47 2.3k
Jia‐Jyun Dong Taiwan 25 1.2k 0.6× 732 0.8× 241 0.3× 467 0.8× 358 0.9× 84 2.1k
J. A. Fernández Merodo Spain 26 1.1k 0.5× 741 0.9× 419 0.6× 166 0.3× 213 0.5× 59 1.8k

Countries citing papers authored by Scott McDougall

Since Specialization
Citations

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

Fields of papers citing papers by Scott McDougall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott McDougall

This figure shows the co-authorship network connecting the top 25 collaborators of Scott McDougall. A scholar is included among the top collaborators of Scott McDougall 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 Scott McDougall. Scott McDougall 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.
Barlow, Kirsten, M. McKellar, Ryan P. Mulligan, et al.. (2024). Effect of the presence of a tailings dam beach on breach outflow and erosion during overtopping failure. Engineering Geology. 344. 107805–107805. 1 indexed citations
2.
McDougall, Scott, et al.. (2024). Wet inrush susceptibility assessment at the Deep Ore Zone mine using a random forest machine learning model. 133(3). 276–288. 1 indexed citations
3.
McDougall, Scott, et al.. (2024). Analysis of Uncertainty and Sensitivity in Tailings Dam Breach-Runout Numerical Modelling. Mine Water and the Environment. 43(1). 87–103. 1 indexed citations
4.
Mitchell, A., et al.. (2023). A multi-year record of topographic changes on debris-flow fans in south-western British Columbia, Canada. SHILAP Revista de lepidopterología. 415. 3019–3019.
5.
McDougall, Scott, et al.. (2023). Quantifying debris-flow hazard and risk based on fan sector. SHILAP Revista de lepidopterología. 415. 5026–5026. 1 indexed citations
7.
Mitchell, A., Scott McDougall, Jordan Aaron, et al.. (2022). Variable hydrograph inputs for a numerical debris-flow runout model. Natural hazards and earth system sciences. 22(5). 1627–1654. 8 indexed citations
8.
Aaron, Jordan, Scott McDougall, Julia Kowalski, A. Mitchell, & Natalia Nolde. (2022). Probabilistic prediction of rock avalanche runout using a numerical model. Landslides. 19(12). 2853–2869. 12 indexed citations
9.
McDougall, Scott, et al.. (2022). A benchmarking study of four numerical runout models for the simulation of tailings flows. The Science of The Total Environment. 827. 154245–154245. 20 indexed citations
10.
McDougall, Scott, et al.. (2022). Individual risk evaluation for landslides: key details. Landslides. 19(4). 977–991. 19 indexed citations
11.
Mitchell, A., et al.. (2021). Exploring new methods to analyse spatial impact distributions on debris‐flow fans using data from south‐western British Columbia. Earth Surface Processes and Landforms. 46(12). 2395–2413. 17 indexed citations
12.
Evans, Stephen G., et al.. (2021). Catastrophic mass flows resulting from tailings impoundment failures. Engineering Geology. 292. 106262–106262. 63 indexed citations
13.
Whittall, John, A. Mitchell, & Scott McDougall. (2020). Runout of open pit slope failures: an update. 1149–1162.
14.
Jakob, Matthias, et al.. (2020). Regional debris‐flow and debris‐flood frequency–magnitude relationships. Earth Surface Processes and Landforms. 45(12). 2954–2964. 23 indexed citations
15.
Mitchell, A., et al.. (2020). Tailings-flow runout analysis: examining the applicability of a semi-physical area–volume relationship using a novel database. Natural hazards and earth system sciences. 20(12). 3425–3438. 17 indexed citations
16.
Bevington, Alexandre, et al.. (2019). Semi-automated detection of landslide timing using harmonic modelling of satellite imagery, Buckinghorse River, Canada. International Journal of Applied Earth Observation and Geoinformation. 84. 101943–101943. 30 indexed citations
17.
Mitchell, A., et al.. (2017). REGIONAL-SCALE LANDSLIDE AND EROSION MONITORING UTILIZING AIRBORNE LIDAR CHANGE DETECTION ANALYSIS. Abstracts with programs - Geological Society of America. 2 indexed citations
18.
Evans, Stephen G., Olga Tutubalina, Sergey Chernomorets, et al.. (2008). Catastrophic detachment and high-velocity long-runout flow of Kolka Glacier, Caucasus Mountains, Russia in 2002. Geomorphology. 105(3-4). 314–321. 119 indexed citations
19.
McDougall, Scott, et al.. (2006). The Zymoetz River landslide, British Columbia, Canada: description and dynamic analysis of a rock slide–debris flow. Landslides. 3(3). 195–204. 61 indexed citations
20.
McDougall, Scott & Oldrich Hungr. (2004). A model for the analysis of rapid landslide motion across three-dimensional terrain. Canadian Geotechnical Journal. 41(6). 1084–1097. 448 indexed citations breakdown →

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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