P.A.J. van Oort

3.1k total citations
60 papers, 1.6k citations indexed

About

P.A.J. van Oort is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Global and Planetary Change. According to data from OpenAlex, P.A.J. van Oort has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ecology, Evolution, Behavior and Systematics, 23 papers in Plant Science and 13 papers in Global and Planetary Change. Recurrent topics in P.A.J. van Oort's work include Climate change impacts on agriculture (25 papers), Rice Cultivation and Yield Improvement (18 papers) and Geographic Information Systems Studies (9 papers). P.A.J. van Oort is often cited by papers focused on Climate change impacts on agriculture (25 papers), Rice Cultivation and Yield Improvement (18 papers) and Geographic Information Systems Studies (9 papers). P.A.J. van Oort collaborates with scholars based in Netherlands, Ivory Coast and Australia. P.A.J. van Oort's co-authors include Sander J. Zwart, Holger Meinke, Alexandre Bryan Heinemann, Kazuki Saito, A. de H. N. Maia, M.K. van Ittersum, Michiel E. de Vries, Wopke van der Werf, B.G.H. Timmermans and L. Bastiaans and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

P.A.J. van Oort

58 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P.A.J. van Oort Netherlands	21	726	519	365	313	257	60	1.6k
Marcello Donatelli Italy	12	369 0.5×	334 0.6×	198 0.5×	359 1.1×	181 0.7×	19	1.2k
Vimbayi Grace Petrova Chimonyo South Africa	23	820 1.1×	290 0.6×	160 0.4×	191 0.6×	278 1.1×	62	1.7k
Fabio Micale Italy	10	622 0.9×	565 1.1×	255 0.7×	477 1.5×	240 0.9×	22	1.5k
Mike Rivington United Kingdom	20	348 0.5×	499 1.0×	215 0.6×	602 1.9×	237 0.9×	49	1.6k
Alice G. Laborte Philippines	25	765 1.1×	385 0.7×	247 0.7×	271 0.9×	351 1.4×	59	2.2k
Jerzy Kozyra Poland	10	601 0.8×	501 1.0×	261 0.7×	413 1.3×	199 0.8×	44	1.5k
Eduardo Delgado Assad Brazil	24	503 0.7×	367 0.7×	455 1.2×	743 2.4×	536 2.1×	96	2.3k
Jacques Wéry France	26	1.0k 1.4×	424 0.8×	394 1.1×	496 1.6×	280 1.1×	59	2.5k
J.N.G. Hargreaves Australia	14	776 1.1×	641 1.2×	413 1.1×	310 1.0×	184 0.7×	21	1.6k
Florian Zabel Germany	20	468 0.6×	505 1.0×	254 0.7×	752 2.4×	434 1.7×	36	1.9k

Countries citing papers authored by P.A.J. van Oort

Since Specialization

Citations

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

Fields of papers citing papers by P.A.J. van Oort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.A.J. van Oort

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oort, P.A.J. van, et al.. (2025). Yield determinants of Kappaphycus alvarezii seaweed in South Sulawesi, Indonesia. Journal of Applied Phycology. 37(2). 1153–1170. 1 indexed citations

Oort, P.A.J. van, et al.. (2024). A simulation study to quantify the effect of sidedress fertilisation on N leaching and potato yield. Field Crops Research. 314. 109425–109425.

Yuan, Shen, Kazuki Saito, P.A.J. van Oort, et al.. (2024). Intensifying rice production to reduce imports and land conversion in Africa. Nature Communications. 15(1). 835–835. 20 indexed citations

Fonteijn, Hubert, P.A.J. van Oort, & Geerten Hengeveld. (2024). DARTS: Evolving Resilience of the Global Food System to Production and Trade Shocks. Journal of Artificial Societies and Social Simulation. 27(2). 2 indexed citations

Oort, P.A.J. van, Hubert Fonteijn, & Geerten Hengeveld. (2024). DARTS: Modelling effects of shocks on global, regional, urban and rural food security. Socio-Environmental Systems Modeling. 1(2). e0000006–e0000006.

Oort, P.A.J. van. (2023). Balancing rice supply and demand in Africa. Nature Food. 4(6). 460–461. 1 indexed citations

Oort, P.A.J. van, et al.. (2023). Can seaweeds feed the world? Modelling world offshore seaweed production potential. Ecological Modelling. 484. 110486–110486. 9 indexed citations

Oort, P.A.J. van, et al.. (2022). The Bio Economic Seaweed Model (BESeM) for modelling tropical seaweed cultivation – experimentation and modelling. Journal of Applied Phycology. 34(5). 2627–2644. 5 indexed citations

Oort, P.A.J. van & Michaël Dingkuhn. (2021). Feet in the water and hands on the keyboard: A critical retrospective of crop modelling at AfricaRice. Field Crops Research. 263. 108074–108074. 15 indexed citations

10.

Oort, P.A.J. van. (2018). Mapping abiotic stresses for rice in Africa: Drought, cold, iron toxicity, salinity and sodicity. Field Crops Research. 219. 55–75. 72 indexed citations

11.

Oort, P.A.J. van, et al.. (2017). Phenology, sterility and inheritance of two environment genic male sterile (EGMS) lines for hybrid rice. Rice. 10(1). 31–31. 7 indexed citations

12.

Oort, P.A.J. van, Michiel E. de Vries, Hiroe Yoshida, & Kazuki Saito. (2015). Improved Climate Risk Simulations for Rice in Arid Environments. PLoS ONE. 10(3). e0118114–e0118114. 55 indexed citations

13.

Carvalho, M. T. de M., A. de H. N. Maia, B. E. Madari, et al.. (2014). Biochar increases plant-available water in a sandy loam soil under an aerobic rice crop system. Solid Earth. 5(2). 939–952. 81 indexed citations

14.

Carvalho, M. T. de M., B. E. Madari, L. Bastiaans, et al.. (2013). Biochar improves fertility of a clay soil in the Brazilian Savannah: short term effects and impact on rice yield. SHILAP Revista de lepidopterología. 22 indexed citations

15.

Heinemann, Alexandre Bryan, et al.. (2012). Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation. Bragantia. 71(4). 572–582. 99 indexed citations

16.

Oort, P.A.J. van, et al.. (2010). To charge or not to charge: A framework for proper funding. Socio-Environmental Systems Modeling. 24(8). 13–15. 1 indexed citations

17.

Crompvoets, Joep, P.A.J. van Oort, A.K. Bregt, et al.. (2007). Worldwide impact assessment of spatial data clearinghouses. Socio-Environmental Systems Modeling. 19(1). 23–32. 15 indexed citations

18.

Oort, P.A.J. van. (2005). Spatial data quality: from description to application. 64 indexed citations

19.

Oort, P.A.J. van, Alfred Stein, A.K. Bregt, Sytze de Bruin, & Jack Kuipers. (2005). A Variance and Covariance Equation for Area Estimates with a Geographic Information System. Forest Science. 51(4). 347–356. 5 indexed citations

20.

Oort, P.A.J. van & A.K. Bregt. (2005). Do Users Ignore Spatial Data Quality? A Decision‐Theoretic Perspective. Risk Analysis. 25(6). 1599–1610. 16 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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