Tjalling de Haas

2.6k total citations
65 papers, 1.7k citations indexed

About

Tjalling de Haas is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Tjalling de Haas has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management, Monitoring, Policy and Law, 27 papers in Atmospheric Science and 21 papers in Astronomy and Astrophysics. Recurrent topics in Tjalling de Haas's work include Landslides and related hazards (30 papers), Planetary Science and Exploration (21 papers) and Geology and Paleoclimatology Research (21 papers). Tjalling de Haas is often cited by papers focused on Landslides and related hazards (30 papers), Planetary Science and Exploration (21 papers) and Geology and Paleoclimatology Research (21 papers). Tjalling de Haas collaborates with scholars based in Netherlands, United Kingdom and Switzerland. Tjalling de Haas's co-authors include Maarten G. Kleinhans, Lisanne Braat, Jasper R. F. W. Leuven, Susan J. Conway, Patrice Carbonneau, Ernst Hauber, Wiebe Nijland, Brian W. McArdell, Alexander L. Densmore and Dario Ventra and has published in prestigious journals such as Physical Review Letters, Nature Communications and Scientific Reports.

In The Last Decade

Tjalling de Haas

64 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tjalling de Haas Netherlands 26 838 644 634 375 366 65 1.7k
Vamsi Ganti United States 25 223 0.3× 748 1.2× 965 1.5× 876 2.3× 134 0.4× 57 1.7k
Roman A. DiBiase United States 24 888 1.1× 1.2k 1.9× 725 1.1× 761 2.0× 107 0.3× 47 2.3k
Paola Cianfarra Italy 20 137 0.2× 465 0.7× 504 0.8× 372 1.0× 87 0.2× 71 1.3k
Thomas C. Pierson United States 26 1.7k 2.1× 1.3k 2.0× 710 1.1× 574 1.5× 39 0.1× 55 2.8k
Liran Goren Israel 20 802 1.0× 1.0k 1.6× 502 0.8× 784 2.1× 32 0.1× 48 2.2k
Thad Wasklewicz United States 19 699 0.8× 332 0.5× 596 0.9× 236 0.6× 26 0.1× 42 1.3k
N. J. Finnegan United States 26 897 1.1× 968 1.5× 1.2k 1.8× 839 2.2× 45 0.1× 60 2.4k
V. Manville New Zealand 30 879 1.0× 1.2k 1.8× 420 0.7× 626 1.7× 32 0.1× 54 2.3k
Michael Krautblatter Germany 35 1.9k 2.3× 2.0k 3.2× 211 0.3× 129 0.3× 34 0.1× 110 2.9k
Paola Rizzoli Germany 22 392 0.5× 1.3k 2.1× 295 0.5× 268 0.7× 44 0.1× 123 2.6k

Countries citing papers authored by Tjalling de Haas

Since Specialization
Citations

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

Fields of papers citing papers by Tjalling de Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tjalling de Haas. 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 Tjalling de Haas. The network helps show where Tjalling de Haas may publish in the future.

Co-authorship network of co-authors of Tjalling de Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Tjalling de Haas. A scholar is included among the top collaborators of Tjalling de Haas 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 Tjalling de Haas. Tjalling de Haas 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.
Haas, Tjalling de, et al.. (2025). Controls of Morphometric and Climatic Catchment Characteristics on Debris Flow and Flood Hazard on Alluvial Fans in High Mountain Asia: A Machine Learning Approach. Journal of Geophysical Research Earth Surface. 130(2). 1 indexed citations
2.
Fu, Sheng, S.M. de Jong, Wiebe Nijland, et al.. (2025). Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide. International Journal of Applied Earth Observation and Geoinformation. 140. 104613–104613.
3.
Conway, Susan J., Tjalling de Haas, C. M. Dundas, et al.. (2024). How, when and where current mass flows in Martian gullies are driven by CO2 sublimation. Communications Earth & Environment. 5(1). 4 indexed citations
4.
Aaron, Jordan, et al.. (2024). Field Validation of the Superelevation Method for Debris‐Flow Velocity Estimation Using High‐Resolution Lidar and UAV Data. Journal of Geophysical Research Earth Surface. 129(11). 3 indexed citations
5.
Zheng, Hongchao, Xinli Hu, Zhenming Shi, Danyi Shen, & Tjalling de Haas. (2024). Deciphering Controls of Pore‐Pressure Evolution on Sediment Bed Erosion by Debris Flows. Geophysical Research Letters. 51(5). 16 indexed citations
6.
Hirschberg, Jacob, Brian W. McArdell, Benjamin B. Mirus, et al.. (2024). Debris‐flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path. Earth Surface Processes and Landforms. 49(10). 2950–2964. 2 indexed citations
7.
Conway, Susan J., J. P. Merrison, J. Iversen, et al.. (2024). The Dynamics of CO2‐Driven Granular Flows in Gullies on Mars. Journal of Geophysical Research Planets. 129(6). 3 indexed citations
8.
9.
Haas, Tjalling de, et al.. (2023). How Bed Composition Affects Erosion by Debris Flows—An Experimental Assessment. Geophysical Research Letters. 50(14). 19 indexed citations
10.
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
11.
12.
Zheng, Hongchao, et al.. (2022). Characteristics of the Impact Pressure of Debris Flows. Journal of Geophysical Research Earth Surface. 127(3). 23 indexed citations
13.
Salese, F., Maarten G. Kleinhans, N. Mangold, et al.. (2020). Estimated Minimum Life Span of the Jezero Fluvial Delta (Mars). Astrobiology. 20(8). 977–993. 17 indexed citations
14.
Conway, Susan J., et al.. (2018). Intense Glacial Erosion Could Have Erased Gullies on Mars. Open Research Online (The Open University). 1875. 1 indexed citations
15.
Conway, Susan J., Tjalling de Haas, & T. N. Harrison. (2018). Martian gullies: a comprehensive review of observations, mechanisms and insights from Earth analogues. Geological Society London Special Publications. 467(1). 7–66. 29 indexed citations
16.
Conway, Susan J., Tjalling de Haas, T. N. Harrison, Paul A. Carling, & Jonathan L. Carrivick. (2018). Martian gullies and their Earth analogues: introduction. Geological Society London Special Publications. 467(1). 1–6. 7 indexed citations
17.
Haas, Tjalling de, Susan J. Conway, Frances Butcher, et al.. (2017). Time will tell: temporal evolution of Martian gullies and paleoclimatic implications. Open Research Online (The Open University). 758. 1 indexed citations
18.
Haas, Tjalling de, Susan J. Conway, Frances Butcher, et al.. (2017). Time will tell: temporal evolution of Martian gullies and palaeoclimatic implications. Geological Society London Special Publications. 467(1). 165–186. 17 indexed citations
19.
Haas, Tjalling de, Ernst Hauber, Susan J. Conway, et al.. (2015). Earth-like aqueous debris-flow activity on Mars at high orbital obliquity in the last million years. Nature Communications. 6(1). 7543–7543. 43 indexed citations
20.
Hauber, Ernst, T. Platz, D. Reiss, et al.. (2013). Old or not so Old: That is the Question for Deltas and Fans in Xanthe Terra, Mars. elib (German Aerospace Center). 2513. 2 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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