Remke L. Van Dam

2.5k total citations
58 papers, 1.9k citations indexed

About

Remke L. Van Dam is a scholar working on Geophysics, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Remke L. Van Dam has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Geophysics, 34 papers in Ocean Engineering and 19 papers in Environmental Engineering. Recurrent topics in Remke L. Van Dam's work include Geophysical Methods and Applications (34 papers), Geophysical and Geoelectrical Methods (32 papers) and Seismic Waves and Analysis (20 papers). Remke L. Van Dam is often cited by papers focused on Geophysical Methods and Applications (34 papers), Geophysical and Geoelectrical Methods (32 papers) and Seismic Waves and Analysis (20 papers). Remke L. Van Dam collaborates with scholars based in United States, Australia and Netherlands. Remke L. Van Dam's co-authors include Wolfgang Schlager, J.E.A. Storms, D. W. Hyndman, Torbjörn E. Törnqvist, Dushmantha H. Jayawickreme, Jan M. H. Hendrickx, Brian Borchers, Jakob Wallinga, Davin J. Wallace and Craig T. Simmons and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Water Resources Research.

In The Last Decade

Remke L. Van Dam

56 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Remke L. Van Dam United States 23 671 645 583 541 436 58 1.9k
Andrew J. Hogg United Kingdom 32 344 0.5× 476 0.7× 1.1k 1.9× 838 1.5× 216 0.5× 120 2.9k
Mark Naylor United Kingdom 25 258 0.4× 900 1.4× 336 0.6× 418 0.8× 450 1.0× 71 2.0k
Pierfrancesco Dellino Italy 37 328 0.5× 2.3k 3.6× 825 1.4× 1.5k 2.8× 268 0.6× 99 3.8k
Justin K. Dix United Kingdom 26 370 0.6× 547 0.8× 340 0.6× 457 0.8× 62 0.1× 94 1.7k
Niels Balling Denmark 28 327 0.5× 1.4k 2.2× 235 0.4× 976 1.8× 229 0.5× 83 2.9k
Wang Australia 20 230 0.3× 728 1.1× 262 0.4× 740 1.4× 100 0.2× 495 2.6k
Vladimir Lyakhovsky Israel 38 418 0.6× 2.9k 4.5× 405 0.7× 403 0.7× 338 0.8× 136 4.2k
Daniela Mele Italy 26 283 0.4× 993 1.5× 396 0.7× 683 1.3× 142 0.3× 70 2.0k
Gérald Ernst Belgium 32 164 0.2× 1.1k 1.7× 384 0.7× 1.4k 2.5× 300 0.7× 66 2.7k
Wolfgang Rabbel Germany 33 784 1.2× 2.6k 4.0× 130 0.2× 221 0.4× 417 1.0× 184 3.5k

Countries citing papers authored by Remke L. Van Dam

Since Specialization
Citations

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

Fields of papers citing papers by Remke L. Van Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Remke L. Van Dam. 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 Remke L. Van Dam. The network helps show where Remke L. Van Dam may publish in the future.

Co-authorship network of co-authors of Remke L. Van Dam

This figure shows the co-authorship network connecting the top 25 collaborators of Remke L. Van Dam. A scholar is included among the top collaborators of Remke L. Van Dam 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 Remke L. Van Dam. Remke L. Van Dam 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.
Kendall, A. D., et al.. (2018). Quantifying Soil Water and Root Dynamics Using a Coupled Hydrogeophysical Inversion. Vadose Zone Journal. 17(1). 1–13. 11 indexed citations
2.
Hoek, Wim Z., J. van der Plicht, Remke L. Van Dam, et al.. (2017). The Usumacinta–Grijalva beach-ridge plain in southern Mexico: a high-resolution archive of river discharge and precipitation. Earth Surface Dynamics. 5(3). 529–556. 41 indexed citations
3.
Dam, Remke L. Van, et al.. (2016). The GPR early-time method to measure water content of clay soils. 1–4. 3 indexed citations
4.
Dam, Remke L. Van, et al.. (2016). Early‐Time GPR: A Method to Monitor Spatial Variations in Soil Water Content during Irrigation in Clay Soils. Vadose Zone Journal. 15(11). 1–9. 38 indexed citations
5.
Dam, Remke L. Van, et al.. (2016). Characterizing large-scale glaciotectonic sediment deformation using electrical resistivity methods. Journal of Geophysics and Engineering. 13(2). S39–S49. 4 indexed citations
6.
Erkens, Gilles, et al.. (2015). Sinking coastal cities. SHILAP Revista de lepidopterología. 372. 189–198. 108 indexed citations
7.
Dam, Remke L. Van, et al.. (2013). Effects of magnetite on high-frequency ground-penetrating radar. Geophysics. 78(5). H1–H11. 13 indexed citations
8.
Dam, Remke L. Van, et al.. (2012). Electrical Resistivity Imaging and Fluid Modeling of Free Convection in a Coastal Sabkha. 1–6. 1 indexed citations
9.
Jayawickreme, Dushmantha H., Remke L. Van Dam, & D. W. Hyndman. (2010). Hydrological consequences of land-cover change: Quantifying the influence of plants on soil moisture with time-lapse electrical resistivity. Geophysics. 75(4). WA43–WA50. 57 indexed citations
10.
Dam, Remke L. Van. (2010). Landform characterization using geophysics—Recent advances, applications, and emerging tools. Geomorphology. 137(1). 57–73. 103 indexed citations
11.
Grasmueck, M., P. Marchesini, Gregor P. Eberli, Markus Zeller, & Remke L. Van Dam. (2010). 4D GPR tracking of water infiltration in fractured high-porosity limestone. 1–6. 7 indexed citations
12.
Dam, Remke L. Van, Jan M. H. Hendrickx, J. Bruce J. Harrison, & Russell S. Harmon. (2008). Toward a model for predicting magnetic susceptibility of bedrock regolith and soils. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6953. 69530Z–69530Z. 2 indexed citations
13.
Young, Roger A., et al.. (2007). Application of 1-D Convolutional Modeling to Interpretation of Ground Penetrating Radar Profiles-turbidite Channel Sandstone 1, Lewis Shale, Wyoming. Journal of Environmental and Engineering Geophysics. 12(3). 241–254. 2 indexed citations
14.
Dam, Remke L. Van, Brian Borchers, & Jan M. H. Hendrickx. (2006). Effect of magnetite on GPR for detection of buried landmines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6217. 62170L–62170L. 1 indexed citations
15.
Dam, Remke L. Van, Jan M. H. Hendrickx, J. Bruce J. Harrison, & Brian Borchers. (2005). Conceptual model for prediction of magnetic properties in tropical soils. 1 indexed citations
16.
Dam, Remke L. Van, Jan M. H. Hendrickx, J. Bruce J. Harrison, & Brian Borchers. (2005). Conceptual model for prediction of magnetic properties in tropical soils. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5794. 177–177. 15 indexed citations
17.
Dam, Remke L. Van, et al.. (2003). GPR stratigraphy of a large active dune on Parengarenga Sandspit, New Zealand. The Leading Edge. 22(9). 865–881. 17 indexed citations
18.
Dam, Remke L. Van, Wolfgang Schlager, Mark J. Dekkers, & Johan Alexander Huisman. (2002). Iron oxides as a cause of GPR reflections. Geophysics. 67(2). 536–545. 71 indexed citations
19.
Dam, Remke L. Van & Wolfgang Schlager. (2000). Identifying causes of ground‐penetrating radar reflections using time‐domain reflectometry and sedimentological analyses. Sedimentology. 47(2). 435–449. 140 indexed citations
20.
Baas, Jaco H., Remke L. Van Dam, & J.E.A. Storms. (2000). Duration of deposition from decelerating high-density turbidity currents. Sedimentary Geology. 136(1-2). 71–88. 36 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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