Jochem B. Evers

6.1k total citations · 1 hit paper
119 papers, 4.0k citations indexed

About

Jochem B. Evers is a scholar working on Plant Science, Agronomy and Crop Science and Forestry. According to data from OpenAlex, Jochem B. Evers has authored 119 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Plant Science, 42 papers in Agronomy and Crop Science and 19 papers in Forestry. Recurrent topics in Jochem B. Evers's work include Greenhouse Technology and Climate Control (52 papers), Agronomic Practices and Intercropping Systems (26 papers) and Light effects on plants (20 papers). Jochem B. Evers is often cited by papers focused on Greenhouse Technology and Climate Control (52 papers), Agronomic Practices and Intercropping Systems (26 papers) and Light effects on plants (20 papers). Jochem B. Evers collaborates with scholars based in Netherlands, China and France. Jochem B. Evers's co-authors include J. Vos, Wopke van der Werf, Bruno Andrieu, P.C. Struik, Lizhen Zhang, Niels P. R. Anten, Michaël Chelle, Gerhard Buck-Sorlin, P.E.L. van der Putten and P.H.B. de Visser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and New Phytologist.

In The Last Decade

Jochem B. Evers

112 papers receiving 3.9k citations

Hit Papers

Functional–structural plant modelling: a new versatile to... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochem B. Evers Netherlands 37 3.1k 1.3k 634 548 467 119 4.0k
Derrick J. Moot New Zealand 32 1.7k 0.5× 1.8k 1.4× 576 0.9× 1.2k 2.2× 644 1.4× 229 3.5k
Julianne M. Lilley Australia 32 2.0k 0.6× 836 0.6× 317 0.5× 242 0.4× 629 1.3× 57 2.7k
Alejandro del Pozo Chile 30 2.0k 0.6× 603 0.5× 406 0.6× 217 0.4× 317 0.7× 133 2.8k
E. Charles Brummer United States 46 4.0k 1.3× 2.7k 2.0× 184 0.3× 428 0.8× 282 0.6× 165 6.3k
François Gastal France 31 2.5k 0.8× 1.6k 1.2× 729 1.1× 411 0.8× 1.4k 3.0× 63 3.9k
E.G. Barrett-Lennard Australia 33 2.2k 0.7× 420 0.3× 348 0.5× 345 0.6× 509 1.1× 119 3.2k
Harry Ozier‐Lafontaine Guadeloupe 23 1.4k 0.4× 804 0.6× 352 0.6× 443 0.8× 370 0.8× 54 2.4k
J. Vos Netherlands 38 3.6k 1.1× 951 0.7× 774 1.2× 187 0.3× 663 1.4× 123 4.4k
John L. Lindquist United States 33 3.3k 1.1× 2.2k 1.7× 275 0.4× 157 0.3× 1.4k 2.9× 110 4.5k
Lee R. DeHaan United States 29 1.4k 0.5× 1.5k 1.2× 184 0.3× 211 0.4× 366 0.8× 70 2.6k

Countries citing papers authored by Jochem B. Evers

Since Specialization
Citations

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

Fields of papers citing papers by Jochem B. Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jochem B. Evers. 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 Jochem B. Evers. The network helps show where Jochem B. Evers may publish in the future.

Co-authorship network of co-authors of Jochem B. Evers

This figure shows the co-authorship network connecting the top 25 collaborators of Jochem B. Evers. A scholar is included among the top collaborators of Jochem B. Evers 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 Jochem B. Evers. Jochem B. Evers 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.
Morales, Alejandro, et al.. (2025). The Virtual Plant Laboratory: a modern plant modelling framework in Julia. Agritrop (Cirad). 7(1). 1 indexed citations
2.
Dong, Bei, et al.. (2024). Competition for light drives yield components in strip intercropping in the Netherlands. Field Crops Research. 320. 109647–109647. 3 indexed citations
3.
Gu, Shenghao, Shuai Sun, Xuejiao Wang, et al.. (2024). Optimizing radiation capture in machine-harvested cotton: A functional-structural plant modelling approach to chemical vs. manual topping strategies. Field Crops Research. 317. 109553–109553. 6 indexed citations
5.
Evers, Jochem B., Xuejiao Wang, Shuai Sun, et al.. (2024). Cotton crop transpiration reveals opportunities to reduce yield loss when applying defoliants for efficient mechanical harvesting. Field Crops Research. 309. 109304–109304. 4 indexed citations
6.
Evers, Jochem B., et al.. (2024). Far-red light perception by the shoot influences root growth and development in cereal-legume crop mixtures. Plant and Soil. 509(1-2). 969–986. 3 indexed citations
7.
Werf, Wopke van der, Fang Gou, Junqi Zhu, et al.. (2024). An evaluation of Goudriaan’s summary model for light interception in strip canopies, using functional-structural plant models. Socio-Environmental Systems Modeling. 6(1). 2 indexed citations
9.
Evers, Jochem B., et al.. (2022). Leaf, plant, to canopy: A mechanistic study on aboveground plasticity and plant density within a maize–soybean intercrop system for the Midwest, USA. Plant Cell & Environment. 46(2). 405–421. 19 indexed citations
10.
Werf, Wopke van der, Junqi Zhu, Yan Guo, et al.. (2021). Estimating the contribution of plant traits to light partitioning in simultaneous maize/soybean intercropping. Journal of Experimental Botany. 72(10). 3630–3646. 64 indexed citations
11.
Struik, P.C., et al.. (2020). Leaf Nitrogen Traits in Response to Plant Density and Nitrogen Supply in Oilseed Rape. Agronomy. 10(11). 1780–1780. 8 indexed citations
12.
Evers, Jochem B., et al.. (2020). Plant architectural responses in simultaneous maize/soybean strip intercropping do not lead to a yield advantage. Annals of Applied Biology. 177(2). 195–210. 22 indexed citations
13.
Zhang, Yue, Lizhen Zhang, Ning Yang, et al.. (2019). Optimized sowing time windows mitigate climate risks for oats production under cool semi-arid growing conditions. Agricultural and Forest Meteorology. 266-267. 184–197. 33 indexed citations
14.
Douma, Jacob C., Jorad de Vries, Erik H. Poelman, et al.. (2019). Ecological significance of light quality in optimizing plant defence. Plant Cell & Environment. 42(3). 1065–1077. 15 indexed citations
15.
Pantazopoulou, Chrysoula K., Franca J. Bongers, Emilie Reinen, et al.. (2017). Neighbor detection at the leaf tip adaptively regulates upward leaf movement through spatial auxin dynamics. Proceedings of the National Academy of Sciences. 114(28). 7450–7455. 106 indexed citations
16.
Evers, Jochem B., et al.. (2017). Simulation of the progression of yellow spot on wheat using a functional-structural plant model (FSPM): Model concepts. Socio-Environmental Systems Modeling. 2 indexed citations
17.
Zhu, Junqi, Wopke van der Werf, J. Vos, et al.. (2016). High productivity of wheat intercropped with maize is associated with plant architectural responses. Annals of Applied Biology. 168(3). 357–372. 37 indexed citations
18.
Schmidt, Marco, et al.. (2009). The importance of habitat continuity for species composition and phytodiversity of forest vegetation.. 80(5). 195–202. 2 indexed citations
19.
Evers, Jochem B., J. Vos, Bruno Andrieu, Michaël Chelle, & Gerhard Buck-Sorlin. (2008). Functional-structional plant modelling, applied to tillering in wheat. Italian Journal of Agronomy. 3(3). 739–740. 1 indexed citations
20.
Vos, J., L.F.M. Marcelis, & Jochem B. Evers. (2007). Functional-Structural plant modelling in crop production: adding a dimension. Socio-Environmental Systems Modeling. 22. 1–12. 41 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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