C.A. van Diepen

3.4k total citations · 1 hit paper
60 papers, 2.5k citations indexed

About

C.A. van Diepen is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Management, Monitoring, Policy and Law. According to data from OpenAlex, C.A. van Diepen has authored 60 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Management, Monitoring, Policy and Law. Recurrent topics in C.A. van Diepen's work include Climate change impacts on agriculture (11 papers), Soil and Land Suitability Analysis (7 papers) and Sustainable Agricultural Systems Analysis (6 papers). C.A. van Diepen is often cited by papers focused on Climate change impacts on agriculture (11 papers), Soil and Land Suitability Analysis (7 papers) and Sustainable Agricultural Systems Analysis (6 papers). C.A. van Diepen collaborates with scholars based in Netherlands, Italy and Austria. C.A. van Diepen's co-authors include Allard de Wit, J. Wolf, H. van Keulen, C. Rappoldt, Hendrik Boogaard, P. Kabat, Bettina Baruth, G.H.J. de Koning, Iwan Supit and Fulco Ludwig and has published in prestigious journals such as Climatic Change, Geoderma and Agricultural and Forest Meteorology.

In The Last Decade

C.A. van Diepen

57 papers receiving 2.3k citations

Hit Papers

WOFOST: a simulation model of crop production 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.A. van Diepen Netherlands 21 968 945 898 596 537 60 2.5k
Marco Acutis Italy 32 1.1k 1.1× 631 0.7× 675 0.8× 491 0.8× 983 1.8× 127 3.1k
Josef Eitzinger Austria 33 1.1k 1.1× 1.4k 1.5× 1.1k 1.2× 447 0.8× 552 1.0× 104 3.2k
Iwan Supit Netherlands 26 869 0.9× 1.0k 1.1× 901 1.0× 409 0.7× 494 0.9× 64 2.5k
Lieven Claessens Netherlands 28 711 0.7× 583 0.6× 878 1.0× 462 0.8× 776 1.4× 54 2.8k
Wenjiao Shi China 26 766 0.8× 1.1k 1.1× 896 1.0× 538 0.9× 460 0.9× 114 2.6k
Marcello Donatelli Italy 21 1.8k 1.9× 858 0.9× 1.4k 1.5× 379 0.6× 741 1.4× 60 3.2k
Martin Dubrovský Czechia 35 933 1.0× 1.6k 1.7× 949 1.1× 409 0.7× 356 0.7× 77 3.1k
Gianni Bellocchi France 34 921 1.0× 1.5k 1.5× 744 0.8× 719 1.2× 1.0k 1.9× 161 3.5k
Joel O. Paz United States 27 913 0.9× 523 0.6× 668 0.7× 327 0.5× 459 0.9× 93 2.2k
B.A.M. Bouman Netherlands 27 2.2k 2.2× 457 0.5× 860 1.0× 509 0.9× 974 1.8× 58 3.1k

Countries citing papers authored by C.A. van Diepen

Since Specialization
Citations

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

Fields of papers citing papers by C.A. van Diepen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.A. van Diepen. 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 C.A. van Diepen. The network helps show where C.A. van Diepen may publish in the future.

Co-authorship network of co-authors of C.A. van Diepen

This figure shows the co-authorship network connecting the top 25 collaborators of C.A. van Diepen. A scholar is included among the top collaborators of C.A. van Diepen 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 C.A. van Diepen. C.A. van Diepen 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.
Diepen, C.A. van & Hendrik Boogaard. (2009). History of CGMS in the MARS project. Socio-Environmental Systems Modeling. 22(2). 11–14. 2 indexed citations
2.
Wit, Allard de, Hendrik Boogaard, & C.A. van Diepen. (2009). Regional crop yield forecasting: a probabilistic approach. EGUGA. 4820. 1 indexed citations
3.
Boogaard, Hendrik, R. van der Wijngaart, & C.A. van Diepen. (2009). Overview CGMS and related tools. Socio-Environmental Systems Modeling. 22(2). 8–10. 2 indexed citations
4.
Hazeu, G.W., Erling Andersen, Bettina Baruth, et al.. (2009). European environmental stratifications: an overview. Socio-Environmental Systems Modeling. 2 indexed citations
5.
Elbersen, B.S., et al.. (2009). Ruimte voor biomassa in Europa. Socio-Environmental Systems Modeling. 18(2). 16–20. 1 indexed citations
6.
Wit, Allard de & C.A. van Diepen. (2007). Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs. International Journal of Applied Earth Observation and Geoinformation. 10(4). 414–425. 72 indexed citations
7.
Roetter, R.P., Chu Thai Hoanh, Alice G. Laborte, et al.. (2004). Integration of Systems Network (SysNet) tools for regional land use scenario analysis in Asia. Environmental Modelling & Software. 20(3). 291–307. 63 indexed citations
8.
Diepen, C.A. van, et al.. (2002). Verkenning van bodemgeschiktheid ter identificatie van kansrijke gebieden voor de landbouwsector in Noord-Brabant. Socio-Environmental Systems Modeling. 1 indexed citations
9.
Savin, I. Yu., V. S. Stolbovoy, & C.A. van Diepen. (2001). Crop Growth Simulation Model Wofost and its Application for Land Productivity Analysis in Russia. IIASA PURE (International Institute of Applied Systems Analysis). 4 indexed citations
10.
Nabuurs, G.J., A. J. Dolman, P.J. Kuikman, et al.. (2000). Article 3.3 and 3.4 of the Kyoto Protocol: consequences for industrialised countries’ commitment, the monitoring needs, and possible side effects. Environmental Science & Policy. 3(2-3). 123–134. 19 indexed citations
11.
Diepen, C.A. van, et al.. (1998). Application of simple interpolation methods in agrometeorology. Frontiers in Psychiatry. 14. 3–17. 5 indexed citations
12.
Boogaard, Hendrik, et al.. (1998). User's guide for the WOFOST 7.1 crop growth simulation model and WOFOST Control Center 1.5.. Socio-Environmental Systems Modeling. 47 indexed citations
13.
Koning, G.H.J. de, et al.. (1995). Crop growth model WOFOST applied to potatoes. Socio-Environmental Systems Modeling. 275–297. 4 indexed citations
14.
Rabbinge, R., et al.. (1994). Ground for choices: a scenario study on perspectives for rural areas in the European Community.. Data Archiving and Networked Services (DANS). 95–121. 29 indexed citations
15.
Hijmans, Robert J., et al.. (1994). WOFOST 6.0 : user's guide for the WOFOST 6.0 crop growth simulation model. Socio-Environmental Systems Modeling. 19 indexed citations
16.
Diepen, C.A. van. (1993). Two alternative methods for evaluating regional crop yield potential in the European Community. Geoderma. 60(1-4). 359–376. 7 indexed citations
17.
Koning, G.H.J. de & C.A. van Diepen. (1992). Crop production potential of rural areas within the European Communities. IV: Potential, water-limited and actual crop production. 20 indexed citations
18.
Diepen, C.A. van, et al.. (1992). The DBMETEO data base on the countries of the European Communities : description of the data and data-treatments. Data Archiving and Networked Services (DANS).
19.
Diepen, C.A. van, J. Wolf, H. van Keulen, & C. Rappoldt. (1989). WOFOST: a simulation model of crop production. Soil Use and Management. 5(1). 16–24. 573 indexed citations breakdown →
20.
Diepen, C.A. van, H. van Keulen, F.W.T. Penning de Vries, Ilan Noy, & J. Goudriaan. (1987). Simulated variability of wheat and rice yields in current weather conditions and in future weather when ambient CO2 has doubled. Socio-Environmental Systems Modeling. 13 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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