J.A. Marchant

2.3k citations
92 papers · 1.6k · h-index 24

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Plant Surface Properties and Treatments

Papers in

J.A. Marchant

90 papers receiving 1.5k citations

Peers

J.A. Marchant
Comparison fields: 5 of 119
  • Analytical Chemistry 251
  • Plant Science 815
  • Small Animals 153
  • Computer Vision and Pattern Recognition 309
  • Animal Science and Zoology 138
Replace Ta‐Te Lin with:
Ta‐Te Lin Taiwan
Yongliang Qiao China
Alvaro Fuentes South Korea
Huaibo Song China
Hemerson Pistori Brazil
Bruce Grieve United Kingdom
Lie Tang United States
Rasmus Nyholm Jørgensen Denmark
Hao Gan United States
Amin Nasiri Iran
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Citations per field
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Citations per year

Countries citing papers authored by J.A. Marchant

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Marchant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J.A. Marchant, 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 J.A. Marchant Line = papers co-authored together J.A. Marchant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199988
2 200082
3 200381
4 199681
5 200073
6 199573
7 200363
8 199559
9 199855
10 199653
11 199752
12 199939
13 199737
14 199637
15 198236
16 199735
17 197735
18 199832
19 200130
20 199330

About J.A. Marchant

J.A. Marchant is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Analytical Chemistry, Aerospace Engineering and Computational Mechanics, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Smart Agriculture and AI (30 papers), Spectroscopy and Chemometric Analyses (14 papers), Plant Surface Properties and Treatments (11 papers), Robotics and Sensor-Based Localization (10 papers), Remote Sensing in Agriculture (7 papers), Leaf Properties and Growth Measurement (7 papers), Electrohydrodynamics and Fluid Dynamics (6 papers) and Image and Object Detection Techniques (6 papers). The work is most often cited by research in Analytical Chemistry (251 citations), Plant Science (815 citations), Small Animals (153 citations), Computer Vision and Pattern Recognition (309 citations) and Animal Science and Zoology (138 citations). J.A. Marchant has collaborated with scholars based in United Kingdom, Spain and Hungary. Frequent co-authors include C.M. Onyango, T. Hague, N.D. Tillett, C.P. Schofield, R.P. White, Filiberto Pla, R.D. Tillett, A.R. Frost, Matthew A. Wilson and Liñdsay G. Ross. Their work appears in journals such as Computers and Electronics in Agriculture, Image and Vision Computing, Journal of the Optical Society of America A, Mechatronics and Engineering Applications of Artificial Intelligence.

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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