M.E. Donselaar

1.1k total citations
45 papers, 831 citations indexed

About

M.E. Donselaar is a scholar working on Earth-Surface Processes, Ecology and Mechanics of Materials. According to data from OpenAlex, M.E. Donselaar has authored 45 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Earth-Surface Processes, 14 papers in Ecology and 12 papers in Mechanics of Materials. Recurrent topics in M.E. Donselaar's work include Geological formations and processes (26 papers), Geology and Paleoclimatology Research (12 papers) and Hydrology and Sediment Transport Processes (12 papers). M.E. Donselaar is often cited by papers focused on Geological formations and processes (26 papers), Geology and Paleoclimatology Research (12 papers) and Hydrology and Sediment Transport Processes (12 papers). M.E. Donselaar collaborates with scholars based in Netherlands, Belgium and Germany. M.E. Donselaar's co-authors include Gert Jan Weltje, Irina Overeem, Ashok Ghosh, Sebastián Moyano, David Bruhn, Hamidreza M. Nick, Jiaguang Li, Stefan M. Lüthi, C.J.L. Willems and Devanita Ghosh and has published in prestigious journals such as The Science of The Total Environment, Applied Energy and Earth-Science Reviews.

In The Last Decade

M.E. Donselaar

45 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.E. Donselaar Netherlands 16 410 251 243 214 130 45 831
Milovan Fustic Canada 12 529 1.3× 341 1.4× 292 1.2× 504 2.4× 100 0.8× 33 1.1k
Robert S. Tye United States 10 532 1.3× 292 1.2× 316 1.3× 271 1.3× 127 1.0× 30 914
Allard W. Martinius Norway 22 705 1.7× 191 0.8× 389 1.6× 442 2.1× 212 1.6× 54 1.2k
Samuel O. Akande Nigeria 18 166 0.4× 78 0.3× 171 0.7× 400 1.9× 223 1.7× 58 1.0k
Mark E. Vardy United Kingdom 18 352 0.9× 127 0.5× 313 1.3× 66 0.3× 428 3.3× 53 918
Judit Mádl‐Szőnyi Hungary 20 406 1.0× 205 0.8× 138 0.6× 318 1.5× 429 3.3× 83 1.3k
Stephen M. Simmons United Kingdom 17 674 1.6× 415 1.7× 431 1.8× 86 0.4× 122 0.9× 40 1.0k
Maneesh Sharma India 14 381 0.9× 214 0.9× 434 1.8× 58 0.3× 163 1.3× 26 906
I. Lunt United States 16 639 1.6× 488 1.9× 351 1.4× 197 0.9× 309 2.4× 21 1.3k
Alessandro Cantelli United States 22 930 2.3× 584 2.3× 509 2.1× 135 0.6× 184 1.4× 37 1.2k

Countries citing papers authored by M.E. Donselaar

Since Specialization
Citations

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

Fields of papers citing papers by M.E. Donselaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Donselaar. 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 M.E. Donselaar. The network helps show where M.E. Donselaar may publish in the future.

Co-authorship network of co-authors of M.E. Donselaar

This figure shows the co-authorship network connecting the top 25 collaborators of M.E. Donselaar. A scholar is included among the top collaborators of M.E. Donselaar 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 M.E. Donselaar. M.E. Donselaar 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.
Ghosh, Devanita & M.E. Donselaar. (2022). Predictive geospatial model for arsenic accumulation in Holocene aquifers based on interactions of oxbow-lake biogeochemistry and alluvial geomorphology. The Science of The Total Environment. 856(Pt 1). 158952–158952. 12 indexed citations
2.
Donselaar, M.E., et al.. (2021). Spatio‐temporal reconstruction of avulsion history at the terminus of a modern dryland river system. Earth Surface Processes and Landforms. 47(5). 1212–1228. 12 indexed citations
3.
Ghosh, Devanita, et al.. (2020). Organic Carbon transport model of abandoned river channels - A motif for floodplain geomorphology influencing biogeochemical swaying of arsenic. The Science of The Total Environment. 762. 144400–144400. 13 indexed citations
4.
Willems, C.J.L., et al.. (2020). Geology of the Upper Jurassic to Lower Cretaceous geothermal aquifers in the West Netherlands Basin – an overview. Netherlands Journal of Geosciences – Geologie en Mijnbouw. 99. 11 indexed citations
5.
Nick, Hamidreza M., et al.. (2018). Synergy potential for oil and geothermal energy exploitation. Applied Energy. 212. 1433–1447. 45 indexed citations
6.
Weltje, Gert Jan, et al.. (2018). From Routine to Integrated Core Analysis: Setting Up the Database for Reservoir Quality Modelling. Proceedings. 1 indexed citations
7.
Donselaar, M.E., et al.. (2018). Reservoir architecture model of the Nieuwerkerk Formation (Early Cretaceous, West Netherlands Basin): diachronous development of sand-prone fluvial deposits. Geological Society London Special Publications. 469(1). 423–434. 6 indexed citations
8.
Bhattacharya, Prosun, Marie Vahter, Jerker Jarsjö, et al.. (2016). Arsenic Research and Global Sustainability : Proceedings of the Sixth International Congress on Arsenic in the Environment (As2016), June 19-23, 2016, Stockholm, Sweden. Lund University Publications (Lund University). 11 indexed citations
9.
Donselaar, M.E., et al.. (2016). On the relation between fluvio-deltaic flood basin geomorphology and the wide-spread occurrence of arsenic pollution in shallow aquifers. The Science of The Total Environment. 574. 901–913. 57 indexed citations
10.
11.
Donselaar, M.E., et al.. (2016). Process-based Modelling of Sediment Distribution in Fluvial Crevasse Splays. 78th EAGE Conference and Exhibition 2016. 1–3. 1 indexed citations
12.
Li, Jiaguang, Charlie S. Bristow, Stefan M. Lüthi, & M.E. Donselaar. (2015). Dryland anabranching river morphodynamics: Río Capilla, Salar de Uyuni, Bolivia. Geomorphology. 250. 282–297. 24 indexed citations
13.
Stoica, Marius, et al.. (2014). Miocene connectivity between the Central and Eastern Paratethys: Constraints from the western Dacian Basin. Palaeogeography Palaeoclimatology Palaeoecology. 412. 45–67. 29 indexed citations
14.
15.
Oyen, A., et al.. (2012). Application of synthetic aperture radar methods for morphological analysis of the Salar De Uyuni distal fluvial system. Lirias (KU Leuven). 3875–3878. 3 indexed citations
16.
Groenenberg, Remco, et al.. (2010). Targeting for Geothermal Energy Production – Reservoir Characterization and Geothermal Potential of the Delft Sandstone. 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010. 2 indexed citations
17.
Donselaar, M.E. & C. R. Geel. (2007). Facies architecture of heterolithic tidal deposits: the Holocene Holland Tidal Basin. Netherlands Journal of Geosciences – Geologie en Mijnbouw. 86(4). 389–402. 11 indexed citations
18.
Geel, C. R. & M.E. Donselaar. (2007). Reservoir modelling of heterolithic tidal deposits: sensitivity analysis of an object-based stochastic model. Netherlands Journal of Geosciences – Geologie en Mijnbouw. 86(4). 403–411. 5 indexed citations
19.
20.
Donselaar, M.E.. (1996). Barier island coasts and relative sea level rise : Preservation potential, facies architecture and sequence analysis. Data Archiving and Networked Services (DANS). 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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