Marten Geertsema

5.0k total citations · 2 hit papers
67 papers, 2.7k citations indexed

About

Marten Geertsema is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Marten Geertsema has authored 67 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Management, Monitoring, Policy and Law, 41 papers in Atmospheric Science and 20 papers in Global and Planetary Change. Recurrent topics in Marten Geertsema's work include Landslides and related hazards (55 papers), Cryospheric studies and observations (32 papers) and Climate change and permafrost (18 papers). Marten Geertsema is often cited by papers focused on Landslides and related hazards (55 papers), Cryospheric studies and observations (32 papers) and Climate change and permafrost (18 papers). Marten Geertsema collaborates with scholars based in Canada, United States and Iran. Marten Geertsema's co-authors include John J. Clague, James W. Schwab, Himan Shahabi, Stephen G. Evans, Ataollah Shirzadi, Baharin Bin Ahmad, Nadhir Al‐Ansari, Jeffrey A. Coe, Anja Dufresne and Erin K. Bessette‐Kirton and has published in prestigious journals such as Nature, Geophysical Research Letters and Earth-Science Reviews.

In The Last Decade

Marten Geertsema

65 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

2020 280 citations Himan Shahabi, Ataollah Shirzadi et al. Remote Sensing profile →
The formation and impact of landslide dams – State of the art

2020 201 citations Xuanmei Fan, Anja Dufresne et al. Earth-Science Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marten Geertsema Canada	30	1.6k	1.2k	1.0k	348	340	67	2.7k
Alessandro Corsini Italy	26	1.7k 1.0×	928 0.8×	530 0.5×	302 0.9×	181 0.5×	101	2.3k
Johannes Hübl Austria	27	1.6k 1.0×	583 0.5×	1.1k 1.1×	357 1.0×	638 1.9×	70	2.4k
Manfred Buchroithner Germany	28	1.5k 0.9×	1.3k 1.1×	1.4k 1.4×	165 0.5×	329 1.0×	101	3.6k
Joong‐Sun Won South Korea	30	1.6k 1.0×	994 0.9×	1.2k 1.1×	228 0.7×	460 1.4×	148	3.7k
Ulrich Kamp United States	28	1.6k 1.0×	1.6k 1.4×	680 0.7×	166 0.5×	258 0.8×	57	2.9k
Haijun Qiu China	38	1.8k 1.1×	1.0k 0.9×	1.0k 1.0×	445 1.3×	195 0.6×	128	3.9k
Tapas R. Martha India	25	2.0k 1.2×	821 0.7×	1.2k 1.2×	174 0.5×	327 1.0×	69	2.6k
Sandro Moretti Italy	33	2.0k 1.2×	1.2k 1.1×	595 0.6×	237 0.7×	245 0.7×	119	3.2k
Luigi Lombardo Netherlands	36	2.4k 1.5×	959 0.8×	1.9k 1.8×	380 1.1×	444 1.3×	116	3.7k
Ivan Marchesini Italy	28	1.9k 1.2×	824 0.7×	1.1k 1.1×	352 1.0×	166 0.5×	77	2.3k

Countries citing papers authored by Marten Geertsema

Since Specialization

Citations

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

Fields of papers citing papers by Marten Geertsema

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marten Geertsema

This figure shows the co-authorship network connecting the top 25 collaborators of Marten Geertsema. A scholar is included among the top collaborators of Marten Geertsema 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 Marten Geertsema. Marten Geertsema is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Veh, Georg, Bing Wang, Christoph Schmidt, et al.. (2025). Progressively smaller glacier lake outburst floods despite worldwide growth in lake area. Nature Water. 3(3). 271–283. 11 indexed citations

Fu, Sheng, et al.. (2023). The SWADE model for landslide dating in time series of optical satellite imagery. Landslides. 20(5). 913–932. 7 indexed citations

Dunning, Stuart, Neil Ross, Jon Telling, et al.. (2023). Revising supraglacial rock avalanche magnitudes and frequencies in Glacier Bay National Park, Alaska. Geomorphology. 425. 108591–108591. 5 indexed citations

Shahabi, Himan, Ataollah Shirzadi, Nadhir Al‐Ansari, et al.. (2022). A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran. Sensors. 22(4). 1573–1573. 42 indexed citations

Donati, Davide, Doug Stead, Marten Geertsema, et al.. (2022). Kinematic Analysis of the 2020 Elliot Creek Landslide, British Columbia, Using Remote Sensing Data. Frontiers in Earth Science. 10. 4 indexed citations

Nhu, Viet‐Ha, Himan Shahabi, Ebrahim Nohani, et al.. (2020). Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms. ISPRS International Journal of Geo-Information. 9(8). 479–479. 67 indexed citations

Fan, Xuanmei, Anja Dufresne, Srikrishnan Siva Subramanian, et al.. (2020). The formation and impact of landslide dams – State of the art. Earth-Science Reviews. 203. 103116–103116. 201 indexed citations breakdown →

Nhu, Viet‐Ha, Ayub Mohammadi, Himan Shahabi, et al.. (2020). Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms. Forests. 11(8). 830–830. 69 indexed citations

Shahabi, Himan, Ataollah Shirzadi, Kayvan Ghaderi, et al.. (2020). Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier. Remote Sensing. 12(2). 266–266. 280 indexed citations breakdown →

10.

Nhu, Viet‐Ha, Ataollah Shirzadi, Himan Shahabi, et al.. (2020). Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran. Forests. 11(4). 421–421. 102 indexed citations

11.

Bui, Dieu Tien, Himan Shahabi, Ebrahim Omidvar, et al.. (2019). Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm. Remote Sensing. 11(8). 931–931. 99 indexed citations

12.

Bui, Dieu Tien, Ataollah Shirzadi, Himan Shahabi, et al.. (2019). New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed. Forests. 10(9). 743–743. 108 indexed citations

13.

Haeussler, Peter J., S. P. S. Gulick, Naoma McCall, et al.. (2018). Submarine Deposition of a Subaerial Landslide in Taan Fiord, Alaska. Journal of Geophysical Research Earth Surface. 123(10). 2443–2463. 28 indexed citations

14.

Dufresne, Anja, et al.. (2018). Longevity of dams from landslides with sub-channel rupture surfaces, Peace River region, Canada. Geoenvironmental Disasters. 5(1). 19 indexed citations

15.

Hibert, Clément, David Michéa, Floriane Provost, Jean‐Philippe Malet, & Marten Geertsema. (2018). 20 years of landslide activity in Alaska from automated machine-learning based seismic detection. EGUGA. 8595. 1 indexed citations

16.

Hibert, Clément, David Michéa, Floriane Provost, Jean‐Philippe Malet, & Marten Geertsema. (2017). Automated seismic detection of landslides at regional scales: a Random Forest based detection algorithm. AGUFM. 2017. 1 indexed citations

17.

Hibert, Clément, Jean‐Philippe Malet, Floriane Provost, David Michéa, & Marten Geertsema. (2017). Automated seismic detection of landslides at regional scales: a Random Forest based detection algorithm for Alaska and the Himalaya.. EGUGA. 6151. 2 indexed citations

18.

Hasler, Andreas, Marten Geertsema, Vanessa N. Foord, Stephan Gruber, & Jeannette Noetzli. (2015). The influence of surface characteristics, topography and continentality on mountain permafrost in British Columbia. The cryosphere. 9(3). 1025–1038. 41 indexed citations

19.

Geertsema, Marten, D. M. Crudën, & James W. Schwab. (2005). A large rapid landslide in sensitive glaciomarine sediments at Mink Creek, northwestern British Columbia, Canada. Engineering Geology. 83(1-3). 36–63. 33 indexed citations

20.

Geertsema, Marten, John J. Clague, James W. Schwab, & Stephen G. Evans. (2003). An overview of recent large landslides in northern British Columbia, Canada.. EAEJA. 1032. 4 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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