J.W. Hofstee

1.3k total citations
48 papers, 923 citations indexed

About

J.W. Hofstee is a scholar working on Plant Science, Civil and Structural Engineering and Analytical Chemistry. According to data from OpenAlex, J.W. Hofstee has authored 48 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 16 papers in Civil and Structural Engineering and 10 papers in Analytical Chemistry. Recurrent topics in J.W. Hofstee's work include Smart Agriculture and AI (17 papers), Soil Mechanics and Vehicle Dynamics (16 papers) and Plant Surface Properties and Treatments (10 papers). J.W. Hofstee is often cited by papers focused on Smart Agriculture and AI (17 papers), Soil Mechanics and Vehicle Dynamics (16 papers) and Plant Surface Properties and Treatments (10 papers). J.W. Hofstee collaborates with scholars based in Netherlands, United States and Germany. J.W. Hofstee's co-authors include E.J. van Henten, Hyun Kwon Suh, Tony E. Grift, Joris IJsselmuiden, Harro J. Bouwmeester, R.M.C. Jansen, W. Huisman, J. Wildt, Iris F. Kappers and J. Hemming and has published in prestigious journals such as Sensors, Annual Review of Phytopathology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

J.W. Hofstee

45 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.W. Hofstee Netherlands 18 609 215 165 150 127 48 923
Xiwen Luo China 21 857 1.4× 516 2.4× 134 0.8× 113 0.8× 108 0.9× 173 1.6k
Peter P. Ling United States 20 793 1.3× 46 0.2× 123 0.7× 160 1.1× 129 1.0× 96 1.2k
John K. Schueller United States 21 726 1.2× 122 0.6× 211 1.3× 130 0.9× 192 1.5× 111 1.3k
Peter Schulze Lammers Germany 18 309 0.5× 276 1.3× 65 0.4× 215 1.4× 46 0.4× 115 1.1k
Glen C. Rains United States 22 754 1.2× 116 0.5× 89 0.5× 214 1.4× 145 1.1× 110 1.4k
Aldo Calcante Italy 16 517 0.8× 76 0.4× 186 1.1× 63 0.4× 70 0.6× 67 859
D. K. Giles United States 22 1.7k 2.7× 90 0.4× 433 2.6× 65 0.4× 199 1.6× 85 2.1k
Frédéric Cointault France 15 436 0.7× 149 0.7× 132 0.8× 47 0.3× 107 0.8× 38 634
D. Downey United States 12 678 1.1× 66 0.3× 174 1.1× 36 0.2× 111 0.9× 32 920
Yongguang Hu China 17 362 0.6× 63 0.3× 118 0.7× 104 0.7× 175 1.4× 68 1.0k

Countries citing papers authored by J.W. Hofstee

Since Specialization
Citations

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

Fields of papers citing papers by J.W. Hofstee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.W. Hofstee. 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 J.W. Hofstee. The network helps show where J.W. Hofstee may publish in the future.

Co-authorship network of co-authors of J.W. Hofstee

This figure shows the co-authorship network connecting the top 25 collaborators of J.W. Hofstee. A scholar is included among the top collaborators of J.W. Hofstee 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 J.W. Hofstee. J.W. Hofstee 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.
Suh, Hyun Kwon, J.W. Hofstee, & E.J. van Henten. (2017). Improved vegetation segmentation with ground shadow removal using an HDR camera. Precision Agriculture. 19(2). 218–237. 37 indexed citations
2.
Suh, Hyun Kwon, J.W. Hofstee, Joris IJsselmuiden, & E.J. van Henten. (2017). Sugar beet and volunteer potato classification using Bag-of-Visual-Words model, Scale-Invariant Feature Transform, or Speeded Up Robust Feature descriptors and crop row information. Biosystems Engineering. 166. 210–226. 31 indexed citations
3.
Hofstee, J.W., et al.. (2013). Volume Estimation of Potatoes Partly Covered with Dirt Tare. 2003, Las Vegas, NV July 27-30, 2003. 3 indexed citations
4.
Jansen, R.M.C., J. Wildt, Iris F. Kappers, et al.. (2011). Detection of Diseased Plants by Analysis of Volatile Organic Compound Emission. Annual Review of Phytopathology. 49(1). 157–174. 109 indexed citations
5.
Jansen, R.M.C., J.W. Hofstee, J. Wildt, et al.. (2010). Health monitoring of plants by their emitted volatiles: A model to predict the effect of Botrytis cinerea on the concentration of volatiles in a large-scale greenhouse. Biosystems Engineering. 106(1). 37–47. 13 indexed citations
6.
Hofstee, J.W., et al.. (2009). Adaptive detection of volunteer potato plants in sugar beet fields. Precision Agriculture. 11(5). 433–447. 19 indexed citations
7.
Jansen, R.M.C., J.W. Hofstee, Jürgen Wildt, et al.. (2009). Induced plant volatiles allow sensitive monitoring of plant health status in greenhouses. Plant Signaling & Behavior. 4(9). 824–829. 28 indexed citations
8.
Jansen, R.M.C., Kotaro Takayama, Jürgen Wildt, et al.. (2009). Monitoring Crop Health Status at Greenhouse Scale on the Basis of Volatiles Emitted from the Plants. Environment Control in Biology. 47(2). 87–100. 5 indexed citations
9.
Hofstee, J.W., et al.. (2008). Real time vision detection of weed potato plants in sugar beet fields. Socio-Environmental Systems Modeling. 173–178. 1 indexed citations
10.
Tang, Lie, et al.. (2007). Colour based detection of volunteer potatoes as weeds in sugar beet fields using machine vision. Precision Agriculture. 8(6). 267–278. 33 indexed citations
11.
Henten, E.J. van, J.W. Hofstee, Joachim Müller, & Arno Ruckelshausen. (2007). The Field Robot Event - An International Design Contest in Agricultural Engineering. Socio-Environmental Systems Modeling. 2001. 169–174. 3 indexed citations
12.
Grift, Tony E., et al.. (2006). Dynamic Friction Coefficient Measurement of Granular Fertiliser Particles. Biosystems Engineering. 95(4). 507–515. 16 indexed citations
13.
Tang, Lie, et al.. (2006). Automated Corn Plant Spacing Measurement at Early Growth Stages Using Active Computer Vision. 2006 Portland, Oregon, July 9-12, 2006. 1 indexed citations
14.
Grift, Tony E., et al.. (2006). Dynamic Friction Coefficient Measurement of Granular Fertilizer Particles. 2006 Portland, Oregon, July 9-12, 2006. 2 indexed citations
15.
Tang, Lie, et al.. (2005). Vision based detection of volunteer potatoes as weeds in sugar beet and cereal fields. Socio-Environmental Systems Modeling. 1. 175–182. 2 indexed citations
16.
Müller, Joachim, et al.. (2003). Student design contests promote hands-on learning and innovation in precision agriculture. Socio-Environmental Systems Modeling. 16. 20–23. 1 indexed citations
17.
Grift, Tony E. & J.W. Hofstee. (2002). TESTING AN ONLINE SPREAD PATTERN DETERMINATION SENSOR ON A BROADCAST FERTILIZER SPREADER. Transactions of the ASAE. 45(3). 25 indexed citations
18.
Hofstee, J.W., et al.. (2000). Factors affecting the flowability of fertilizers through orifices. International Agrophysics. 14(1). 67–72. 2 indexed citations
19.
20.
Hofstee, J.W. & W. Huisman. (1990). Handling and spreading of fertilizers part 1: Physical properties of fertilizer in relation to particle motion. Journal of Agricultural Engineering Research. 47. 213–234. 55 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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