Jonathan Van Beek

529 citations
21 papers · 405 · 1 hit paper · h-index 9

Impact in

Papers in

    • Remote Sensing in Agriculture 12
    • Smart Agriculture and AI 4
    • Horticultural and Viticultural Research 2
    • Leaf Properties and Growth Measurement 2

Jonathan Van Beek

18 papers receiving 398 citations

Jonathan Van Beek's Hit Papers

Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review 2022 · 128 citations
1280+1+2Years since publication4080120

Peers

Jonathan Van Beek
Comparison fields: 5 of 77
  • Analytical Chemistry 105
  • Ecology 98
  • Plant Science 131
  • Rehabilitation 18
  • Environmental Engineering 43
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Wenkang Chen China
Sanja Brdar Serbia
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Citations per year

Countries citing papers authored by Jonathan Van Beek

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Van Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Van Beek. 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 Jonathan Van Beek. The network helps show where Jonathan Van Beek may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Van Beek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Van Beek Line = papers co-authored together Jonathan Van Beek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review
Hit paper breakdown →
2022128
2 2005119
3 201336
4 201429
5 201419
6 201418
7 201515
8 202215
9 202411
10 20223
11 20163
12 20242
13 20152
14 20231
15 20231
16
Elements contributing to accuracy of canopy structure assessment using terrestrial Lidar data in broad-leaved forests
20131
17 20141
18 20221
19 20250
20 20250

About Jonathan Van Beek

Jonathan Van Beek is a scholar working on Ecology, Plant Science, Global and Planetary Change, Environmental Engineering and Analytical Chemistry, having authored 21 papers that have together received 405 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Spectroscopy and Chemometric Analyses (5 papers), Remote Sensing and LiDAR Applications (5 papers), Land Use and Ecosystem Services (4 papers), Smart Agriculture and AI (4 papers), Horticultural and Viticultural Research (2 papers), Leaf Properties and Growth Measurement (2 papers) and Bioenergy crop production and management (2 papers). The work is most often cited by research in Analytical Chemistry (105 citations), Ecology (98 citations), Plant Science (131 citations), Rehabilitation (18 citations) and Environmental Engineering (43 citations). Jonathan Van Beek has collaborated with scholars based in Belgium, Greece and Slovenia. Frequent co-authors include Ben Somers, Ming Zhao, Ioannis Malounas, Spyros Fountas, Manuela Zude-Sasse, Laurent Tits, Dimitrios Argyropoulos, Pol Coppin, Kaveh Mollazade and Aoife Gowen. Their work appears in journals such as Remote Sensing, Frontiers in Plant Science, BioEnergy Research, American Journal Of Pathology and Data in Brief.

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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