F.K. van Evert

2.8k total citations
89 papers, 1.8k citations indexed

About

F.K. van Evert is a scholar working on Plant Science, Food Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, F.K. van Evert has authored 89 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 16 papers in Food Science and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in F.K. van Evert's work include Smart Agriculture and AI (22 papers), Potato Plant Research (11 papers) and Greenhouse Technology and Climate Control (10 papers). F.K. van Evert is often cited by papers focused on Smart Agriculture and AI (22 papers), Potato Plant Research (11 papers) and Greenhouse Technology and Climate Control (10 papers). F.K. van Evert collaborates with scholars based in Netherlands, United States and Greece. F.K. van Evert's co-authors include C. Kempenaar, Pieter M. Blok, Spyros Fountas, Gerie W.A.M. van der Heijden, Santosh Hiremath, Alfred Stein, Gaylon S. Campbell, Cajo J. F. ter Braak, Athanasios Τ. Balafoutis and E.J. van Henten and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and Sustainability.

In The Last Decade

F.K. van Evert

84 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F.K. van Evert Netherlands 24 947 396 215 192 187 89 1.8k
Simon Blackmore United Kingdom 23 1.2k 1.2× 357 0.9× 277 1.3× 70 0.4× 89 0.5× 70 2.2k
Peeyush Soni India 28 788 0.8× 573 1.4× 266 1.2× 55 0.3× 164 0.9× 150 2.1k
Alice G. Laborte Philippines 25 765 0.8× 351 0.9× 247 1.1× 99 0.5× 385 2.1× 59 2.2k
Spyros Fountas Greece 27 1.6k 1.7× 771 1.9× 202 0.9× 69 0.4× 99 0.5× 97 2.8k
Mónica Balzarini Argentina 23 1.1k 1.1× 293 0.7× 243 1.1× 70 0.4× 98 0.5× 168 1.9k
S. Fountas Greece 22 1.4k 1.5× 422 1.1× 128 0.6× 68 0.4× 69 0.4× 62 2.5k
Muthukumar Bagavathiannan United States 32 2.7k 2.9× 371 0.9× 207 1.0× 158 0.8× 229 1.2× 137 3.3k
Søren Marcus Pedersen Denmark 21 686 0.7× 155 0.4× 139 0.6× 86 0.4× 82 0.4× 62 1.7k
Christian Andreasen Denmark 23 1.6k 1.7× 267 0.7× 202 0.9× 89 0.5× 358 1.9× 113 2.1k
Louis Kouadio Australia 21 682 0.7× 362 0.9× 135 0.6× 64 0.3× 289 1.5× 59 1.4k

Countries citing papers authored by F.K. van Evert

Since Specialization
Citations

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

Fields of papers citing papers by F.K. van Evert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.K. van Evert. 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 F.K. van Evert. The network helps show where F.K. van Evert may publish in the future.

Co-authorship network of co-authors of F.K. van Evert

This figure shows the co-authorship network connecting the top 25 collaborators of F.K. van Evert. A scholar is included among the top collaborators of F.K. van Evert 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 F.K. van Evert. F.K. van Evert 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.
Papadopoulos, George, et al.. (2025). Stakeholders' perspective on smart farming robotic solutions. Smart Agricultural Technology. 11. 100916–100916. 1 indexed citations
2.
Wit, Allard de, et al.. (2024). Simulating water-limited potato yields across the Netherlands with (SWAP-)WOFOST: Experimentation, model improvement and evaluation. Agricultural Water Management. 302. 109011–109011. 4 indexed citations
3.
Ittersum, M.K. van, et al.. (2024). Agronomic dataset on potato growth and yield in the Netherlands. Socio-Environmental Systems Modeling. 10. 1–13. 1 indexed citations
4.
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.
5.
Karagiannis, Panagiotis, George Michalos, Sotiris Makris, et al.. (2024). On an intelligent system to plan agricultural operations. SHILAP Revista de lepidopterología. 10. 100707–100707. 2 indexed citations
6.
Evert, F.K. van, et al.. (2023). RumexWeeds: A grassland dataset for agricultural robotics. Journal of Field Robotics. 40(6). 1639–1656. 12 indexed citations
7.
Cammarano, Davide, F.K. van Evert, & C. Kempenaar. (2023). Precision Agriculture: Modelling. Socio-Environmental Systems Modeling. 11 indexed citations
8.
Jindo, Keiji, Osamu Kozan, Kohtaro Iseki, et al.. (2021). Potential utilization of satellite remote sensing for field-based agricultural studies. Chemical and Biological Technologies in Agriculture. 8(1). 22 indexed citations
9.
Balafoutis, Athanasios Τ., F.K. van Evert, & Spyros Fountas. (2020). Smart Farming Technology Trends: Economic and Environmental Effects, Labor Impact, and Adoption Readiness. Agronomy. 10(5). 743–743. 82 indexed citations
10.
Evert, F.K. van, et al.. (2020). UAV-based Multispectral & Thermal dataset for exploring the diurnal variability, radiometric & geometric accuracy for precision agriculture. Data Archiving and Networked Services (DANS). 6. 1–7. 4 indexed citations
11.
Evert, F.K. van, et al.. (2020). Weekly defoliation controls, but does not kill broad‐leaved dock (Rumex obtusifolius). Weed Research. 60(2). 161–170. 12 indexed citations
12.
Blok, Pieter M., et al.. (2020). The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN. Journal of Field Robotics. 38(1). 85–104. 42 indexed citations
13.
Evert, F.K. van, et al.. (2018). Akkerweb: A Platform for Precision Farming Data, Science, and Practice. Socio-Environmental Systems Modeling. 11 indexed citations
14.
Tagarakis, Aristotelis C., F.K. van Evert, C. Kempenaar, et al.. (2018). Opportunities for Precision Agriculture in Serbia. Socio-Environmental Systems Modeling. 6 indexed citations
15.
Gaitán‐Cremaschi, Daniel, F.K. van Evert, D.M. Jansen, M.P.M. Meuwissen, & Alfons Oude Lansink. (2018). Assessing the Sustainability Performance of Coffee Farms in Vietnam: A Social Profit Inefficiency Approach. Sustainability. 10(11). 4227–4227. 18 indexed citations
16.
Evert, F.K. van, Daniel Gaitán‐Cremaschi, Spyros Fountas, & C. Kempenaar. (2017). Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?. Sustainability. 9(10). 1863–1863. 61 indexed citations
17.
Evert, F.K. van, et al.. (2015). Ontology Matching for Big Data Applications in the Smart Dairy Farming Domain.. Socio-Environmental Systems Modeling. 55–59. 8 indexed citations
18.
Evert, F.K. van, et al.. (2005). Convergence in integrated modeling frameworks. Socio-Environmental Systems Modeling. 745–750. 14 indexed citations
19.
Rizzoli, Andrea Emilio, Ioannis N. Athanasiadis, M. Donatelli, et al.. (2005). Overall architectural design of SeamFrame. Socio-Environmental Systems Modeling. 1 indexed citations
20.
Evert, F.K. van. (1970). Black Spruce Growth and Yield At Various Densities in the Ontario Clay Belt. Forest Science. 16(2). 183–195. 5 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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