Cheryl McCarthy

1.5k total citations · 2 hit papers
31 papers, 1.2k citations indexed

About

Cheryl McCarthy is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Cheryl McCarthy has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 6 papers in Ecology and 4 papers in Environmental Engineering. Recurrent topics in Cheryl McCarthy's work include Smart Agriculture and AI (18 papers), Plant Disease Management Techniques (9 papers) and Remote Sensing in Agriculture (6 papers). Cheryl McCarthy is often cited by papers focused on Smart Agriculture and AI (18 papers), Plant Disease Management Techniques (9 papers) and Remote Sensing in Agriculture (6 papers). Cheryl McCarthy collaborates with scholars based in Australia, Iraq and United States. Cheryl McCarthy's co-authors include Anand Koirala, Kerry B. Walsh, Zhenglin Wang, Zhenzhen Wang, Nigel Hancock, Steven R. Raine, N.H. Hancock, Craig Baillie, J. Alex Thomasson and Diógenes L. Antille and has published in prestigious journals such as Agronomy Journal, Computers and Electronics in Agriculture and Plant Pathology.

In The Last Decade

Cheryl McCarthy

30 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning – Method overview and review of use for fruit detection and yield estimation

2019 427 citations Anand Koirala, Kerry B. Walsh et al. Computers and Electronics in Agriculture profile →
Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’

2019 336 citations Anand Koirala, Kerry B. Walsh et al. Precision Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheryl McCarthy Australia	12	979	282	255	188	124	31	1.2k
Huanyu Jiang China	19	1.1k 1.1×	261 0.9×	360 1.4×	152 0.8×	122 1.0×	85	1.5k
Eduard Gregorio Spain	22	974 1.0×	366 1.3×	176 0.7×	446 2.4×	86 0.7×	50	1.3k
Jordi Gené-Mola Spain	15	692 0.7×	224 0.8×	168 0.7×	234 1.2×	67 0.5×	28	849
Anand Koirala Australia	12	944 1.0×	272 1.0×	309 1.2×	123 0.7×	118 1.0×	20	1.1k
Suraj Amatya United States	10	834 0.9×	247 0.9×	196 0.8×	165 0.9×	56 0.5×	14	947
Fangfang Gao China	15	911 0.9×	165 0.6×	260 1.0×	92 0.5×	106 0.9×	33	1.4k
Chenglin Wang China	14	750 0.8×	117 0.4×	195 0.8×	101 0.5×	208 1.7×	32	1.2k
Juntao Xiong China	21	1.2k 1.2×	188 0.7×	410 1.6×	132 0.7×	215 1.7×	49	1.6k
Guichao Lin China	12	794 0.8×	103 0.4×	188 0.7×	91 0.5×	159 1.3×	22	1.0k

Countries citing papers authored by Cheryl McCarthy

Since Specialization

Citations

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

Fields of papers citing papers by Cheryl McCarthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheryl McCarthy. 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 Cheryl McCarthy. The network helps show where Cheryl McCarthy may publish in the future.

Co-authorship network of co-authors of Cheryl McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Cheryl McCarthy. A scholar is included among the top collaborators of Cheryl McCarthy 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 Cheryl McCarthy. Cheryl McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

McCarthy, Cheryl, et al.. (2024). Near‐infrared spectroscopy and deep neural networks for early common root rot detection in wheat from multi‐season trials. Agronomy Journal. 116(5). 2370–2390. 4 indexed citations

2.

McCarthy, Cheryl, et al.. (2023). A review on common root rot of wheat and barley in Australia. Plant Pathology. 72(8). 1347–1364. 9 indexed citations

3.

McCarthy, Cheryl, et al.. (2023). Non-visual common root rot disease detection using NIR spectrum and machine learning methods. 1–6. 1 indexed citations

4.

Thomasson, J. Alex, Craig Baillie, Diógenes L. Antille, Craig Lobsey, & Cheryl McCarthy. (2019). Autonomous Technologies in Agricultural Equipment: A Review of the State of the Art. 1–17. 19 indexed citations

5.

Koirala, Anand, Kerry B. Walsh, Zhenglin Wang, & Cheryl McCarthy. (2019). Deep learning – Method overview and review of use for fruit detection and yield estimation. Computers and Electronics in Agriculture. 162. 219–234. 427 indexed citations breakdown →

6.

Koirala, Anand, Kerry B. Walsh, Zhenzhen Wang, & Cheryl McCarthy. (2019). Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’. Precision Agriculture. 20(6). 1107–1135. 336 indexed citations breakdown →

7.

Thomasson, J. Alex, Craig Baillie, Diógenes L. Antille, Craig Lobsey, & Cheryl McCarthy. (2019). Autonomous Technologies in Agricultural Equipment: A Review of the State of the Art. 7 indexed citations

8.

Baillie, Craig, Craig Lobsey, Diógenes L. Antille, Cheryl McCarthy, & J. Alex Thomasson. (2018). <i>A review of the state of the art in agricultural automation. Part III: Agricultural machinery navigation systems</i>. 2018 Detroit, Michigan July 29 - August 1, 2018. 11 indexed citations

9.

Antille, Diógenes L., Craig Lobsey, Cheryl McCarthy, J. Alex Thomasson, & Craig Baillie. (2018). <i>A review of the state of the art in agricultural automation. Part IV: Sensor-based nitrogen management technologies</i>. 2018 Detroit, Michigan July 29 - August 1, 2018. 5 indexed citations

10.

Long, Derek, Cheryl McCarthy, & Troy Jensen. (2016). Row and water front detection from UAV thermal-infrared imagery for furrow irrigation monitoring. 300–305. 16 indexed citations

11.

McCarthy, Cheryl, et al.. (2015). Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part B: Mapping and localisation. Computers and Electronics in Agriculture. 119. 267–278. 67 indexed citations

12.

McCarthy, Cheryl, et al.. (2015). Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part A: Tree detection. Computers and Electronics in Agriculture. 119. 254–266. 79 indexed citations

13.

McCarthy, Cheryl, et al.. (2013). A preliminary evaluation of vision and laser sensing for tree trunk detection and orchard mapping. University of Southern Queensland ePrints (University of Southern Queensland). 15 indexed citations

14.

McCarthy, Cheryl, et al.. (2013). Evaluating commercially available precision weed spraying technology for detecting weeds in sugarcane farming systems. 3 indexed citations

15.

McCarthy, Cheryl, et al.. (2012). Preliminary evaluation of shape and colour image sensing for automated weed identification in sugarcane. International sugar journal. 115(1376). 560–564. 3 indexed citations

16.

McCarthy, Cheryl, et al.. (2011). Development and Evaluation of a Prototype Precision Spot Spray System Using Image Analysis to Target Guinea Grass in Sugarcane. 8(2). 97–106. 5 indexed citations

17.

McCarthy, Cheryl, Nigel Hancock, & Steven R. Raine. (2010). Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement.. The journal of cotton science/Journal of cotton science. 14(4). 221–232. 8 indexed citations

18.

McCarthy, Cheryl, et al.. (2009). Development of a Prototype Precision Spot Spray System Using Image Analysis and Plant Identification Technology. University of Southern Queensland ePrints (University of Southern Queensland). 343. 2 indexed citations

19.

McCarthy, Cheryl, Nigel Hancock, & Steven R. Raine. (2007). A preliminary field evaluation of an automated vision-based plant geometry measurement system. University of Southern Queensland ePrints (University of Southern Queensland). 1 indexed citations

20.

McCarthy, Cheryl, Nigel Hancock, & Steven R. Raine. (2006). A preliminary evaluation of machine vision sensing of cotton nodes for automated irrigation control. University of Southern Queensland ePrints (University of Southern Queensland). 1 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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