Tim Leijnse

878 total citations
23 papers, 311 citations indexed

About

Tim Leijnse is a scholar working on Atmospheric Science, Earth-Surface Processes and Global and Planetary Change. According to data from OpenAlex, Tim Leijnse has authored 23 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 16 papers in Earth-Surface Processes and 9 papers in Global and Planetary Change. Recurrent topics in Tim Leijnse's work include Tropical and Extratropical Cyclones Research (19 papers), Coastal and Marine Dynamics (16 papers) and Ocean Waves and Remote Sensing (8 papers). Tim Leijnse is often cited by papers focused on Tropical and Extratropical Cyclones Research (19 papers), Coastal and Marine Dynamics (16 papers) and Ocean Waves and Remote Sensing (8 papers). Tim Leijnse collaborates with scholars based in Netherlands, United States and Philippines. Tim Leijnse's co-authors include Kees Nederhoff, Maarten van Ormondt, Ap van Dongeren, Alessio Giardino, Sofía Caires, Jeremy D. Bricker, Antonia Sebastian, Stefan Aarninkhof, Sanne Muis and Dirk Eilander and has published in prestigious journals such as Water Resources Research, Natural Hazards and Coastal Engineering.

In The Last Decade

Tim Leijnse

22 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Leijnse Netherlands 10 231 216 130 58 45 23 311
Vasilis Baltikas Greece 9 140 0.6× 121 0.6× 93 0.7× 127 2.2× 42 0.9× 17 294
Karinna Nunez United States 8 176 0.8× 145 0.7× 121 0.9× 101 1.7× 71 1.6× 13 298
Alistair Hendry United Kingdom 3 247 1.1× 305 1.4× 81 0.6× 44 0.8× 25 0.6× 3 350
Leigh R. MacPherson Germany 7 228 1.0× 182 0.8× 126 1.0× 173 3.0× 40 0.9× 14 318
Maialen Irazoqui Apecechea Netherlands 4 236 1.0× 182 0.8× 104 0.8× 151 2.6× 30 0.7× 6 307
Robert Jane United States 9 142 0.6× 199 0.9× 52 0.4× 44 0.8× 18 0.4× 16 261
Renske de Winter Netherlands 11 163 0.7× 138 0.6× 214 1.6× 111 1.9× 115 2.6× 16 364
Tate O. McAlpin United States 7 142 0.6× 103 0.5× 120 0.9× 74 1.3× 98 2.2× 26 268
Rita Lammersen Netherlands 4 101 0.4× 228 1.1× 53 0.4× 66 1.1× 38 0.8× 6 310
Yangchen Lai China 10 226 1.0× 247 1.1× 25 0.2× 58 1.0× 21 0.5× 16 308

Countries citing papers authored by Tim Leijnse

Since Specialization
Citations

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

Fields of papers citing papers by Tim Leijnse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Leijnse

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Leijnse. A scholar is included among the top collaborators of Tim Leijnse 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 Tim Leijnse. Tim Leijnse 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
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Ormondt, Maarten van, et al.. (2025). Subgrid corrections for the linear inertial equations of a compound flood model – a case study using SFINCS 2.1.1 Dollerup release. Geoscientific model development. 18(3). 843–861. 5 indexed citations
3.
Leijnse, Tim, et al.. (2025). The importance of waves in large-scale coastal compound flooding: A case study of Hurricane Florence (2018). Coastal Engineering. 199. 104726–104726. 1 indexed citations
4.
Leijnse, Tim, Maarten van Ormondt, Ap van Dongeren, Jeroen C. J. H. Aerts, & Sanne Muis. (2024). Estimating nearshore infragravity wave conditions at large spatial scales. Frontiers in Marine Science. 11. 4 indexed citations
5.
Nederhoff, Kees, Maarten van Ormondt, J. Veeramony, et al.. (2024). Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding. Geoscientific model development. 17(4). 1789–1811. 11 indexed citations
6.
Nederhoff, Kees, Tim Leijnse, A. O'Neill, et al.. (2024). Tropical or extratropical cyclones: what drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast?. Natural Hazards. 120(9). 8779–8825. 12 indexed citations
7.
Eilander, Dirk, Anaïs Couasnon, Tim Leijnse, et al.. (2023). A globally applicable framework for compound flood hazard modeling. Natural hazards and earth system sciences. 23(2). 823–846. 44 indexed citations
8.
Luijendijk, Arjen, et al.. (2023). Predicting marine and aeolian contributions to the Sand Engine’s evolution using coupled modelling. Coastal Engineering. 188. 104444–104444. 13 indexed citations
9.
Leijnse, Tim, et al.. (2023). INTEGRATED MODELLING OF COASTAL LANDFORMS. Research Repository (Delft University of Technology). 760–771. 1 indexed citations
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Leijnse, Tim, et al.. (2023). DEVELOPING LARGE SCALE AND FAST COMPOUND FLOOD MODELS FOR AUSTRALIAN COASTLINES. Coastal Engineering Proceedings. 49–49. 2 indexed citations
13.
Clare, Mariana, Tim Leijnse, Robert McCall, et al.. (2022). Multilevel multifidelity Monte Carlo methods for assessing uncertainty in coastal flooding. Natural hazards and earth system sciences. 22(8). 2491–2515. 5 indexed citations
14.
Leijnse, Tim, Alessio Giardino, Kees Nederhoff, & Sofía Caires. (2022). Generating reliable estimates of tropical-cyclone-induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks. Natural hazards and earth system sciences. 22(6). 1863–1891. 14 indexed citations
15.
Leijnse, Tim, et al.. (2021). Rapid Assessment of Tsunami Offshore Propagation and Inundation with D-FLOW Flexible Mesh and SFINCS for the 2011 Tōhoku Tsunami in Japan. Journal of Marine Science and Engineering. 9(5). 453–453. 8 indexed citations
16.
Nederhoff, Kees, et al.. (2021). Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations. Natural hazards and earth system sciences. 21(3). 861–878. 25 indexed citations
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Sebastian, Antonia, et al.. (2021). Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS. Natural Hazards. 109(3). 2343–2362. 41 indexed citations
19.
Leijnse, Tim, Maarten van Ormondt, Kees Nederhoff, & Ap van Dongeren. (2020). Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind- and wave-driven processes. Coastal Engineering. 163. 103796–103796. 84 indexed citations
20.
Leijnse, Tim. (2018). Computationally Efficient Modelling of Compound Flooding due to Tropical Cyclones with the Explicit Inclusion of Wave-Driven Processes: Research into the required processes and the implementation within the SFINCS model. Research Repository (Delft University of Technology). 3 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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