W. Soepboer

2.3k total citations · 1 hit paper
8 papers, 1.8k citations indexed

About

W. Soepboer is a scholar working on Nature and Landscape Conservation, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, W. Soepboer has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nature and Landscape Conservation, 5 papers in Atmospheric Science and 3 papers in Global and Planetary Change. Recurrent topics in W. Soepboer's work include Ecology and Vegetation Dynamics Studies (5 papers), Geology and Paleoclimatology Research (4 papers) and Land Use and Ecosystem Services (3 papers). W. Soepboer is often cited by papers focused on Ecology and Vegetation Dynamics Studies (5 papers), Geology and Paleoclimatology Research (4 papers) and Land Use and Ecosystem Services (3 papers). W. Soepboer collaborates with scholars based in Netherlands, United States and Estonia. W. Soepboer's co-authors include A. Veldkamp, Peter H. Verburg, S. Sugita, André F. Lotter, Zhongbo Su, G.J. Roerink, Massimo Menenti, Willem O. van der Knaap, Florence Mazier and Jacqueline F. N. van Leeuwen and has published in prestigious journals such as Quaternary Science Reviews, Environmental Management and The Holocene.

In The Last Decade

W. Soepboer

8 papers receiving 1.8k citations

Hit Papers

Modeling the Spatial Dynamics of Regional Land Use: The C... 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Soepboer Netherlands 8 1.3k 556 472 226 200 8 1.8k
Zheng Du China 23 1.5k 1.2× 863 1.6× 685 1.5× 188 0.8× 238 1.2× 94 2.5k
Zhou Wan-cun China 8 2.1k 1.6× 677 1.2× 834 1.8× 143 0.6× 388 1.9× 36 2.6k
José María Cuadrat Prats Spain 18 952 0.8× 400 0.7× 265 0.6× 133 0.6× 96 0.5× 62 1.4k
Tamara Blett United States 17 637 0.5× 348 0.6× 558 1.2× 107 0.5× 91 0.5× 29 1.7k
Xiuqi Fang China 24 1.3k 1.0× 1.1k 2.0× 362 0.8× 146 0.6× 320 1.6× 109 2.1k
Kristi L. Sayler United States 17 1.1k 0.9× 153 0.3× 589 1.2× 98 0.4× 130 0.7× 29 1.5k
Angelo Nolè Italy 21 1.2k 1.0× 556 1.0× 374 0.8× 86 0.4× 180 0.9× 29 1.7k
Laura S. Borma Brazil 17 1.2k 0.9× 289 0.5× 431 0.9× 128 0.6× 71 0.4× 30 1.8k
Cyrus Samimi Germany 25 788 0.6× 404 0.7× 613 1.3× 135 0.6× 198 1.0× 69 1.5k
Andy Wiltshire United Kingdom 26 2.5k 2.0× 1.0k 1.9× 925 2.0× 277 1.2× 224 1.1× 48 3.5k

Countries citing papers authored by W. Soepboer

Since Specialization
Citations

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

Fields of papers citing papers by W. Soepboer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Soepboer

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

All Works

8 of 8 papers shown
1.
Soepboer, W., S. Sugita, & André F. Lotter. (2009). Regional vegetation-cover changes on the Swiss Plateau during the past two millennia: A pollen-based reconstruction using the REVEALS model. Quaternary Science Reviews. 29(3-4). 472–483. 74 indexed citations
2.
Broström, Anna, Anne Birgitte Nielsen, Marie‐José Gaillard, et al.. (2008). Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation: a review. Vegetation History and Archaeobotany. 17(5). 461–478. 264 indexed citations
3.
Soepboer, W. & André F. Lotter. (2008). Estimating past vegetation openness using pollen–vegetation relationships: A modelling approach. Review of Palaeobotany and Palynology. 153(1-2). 102–107. 19 indexed citations
4.
Soepboer, W., Joost Vervoort, S. Sugita, & André F. Lotter. (2007). Evaluating Swiss pollen productivity estimates using a simulation approach. Vegetation History and Archaeobotany. 17(5). 497–506. 23 indexed citations
5.
Soepboer, W., S. Sugita, André F. Lotter, Jacqueline F. N. van Leeuwen, & Willem O. van der Knaap. (2007). Pollen productivity estimates for quantitative reconstruction of vegetation cover on the Swiss Plateau. The Holocene. 17(1). 65–77. 92 indexed citations
6.
Roerink, G.J., Massimo Menenti, W. Soepboer, & Zhongbo Su. (2003). Assessment of climate impact on vegetation dynamics by using remote sensing. Physics and Chemistry of the Earth Parts A/B/C. 28(1-3). 103–109. 154 indexed citations
7.
Verburg, Peter H., et al.. (2002). Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model. Environmental Management. 30(3). 391–405. 1209 indexed citations breakdown →
8.
Verburg, Peter H., Youqi Chen, W. Soepboer, & A. Veldkamp. (2000). GIS-based modeling of human-environment interactions for natural resource management. Socio-Environmental Systems Modeling. 1–13. 7 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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