N.J.B. McFarlane

832 citations
21 papers · 643 · h-index 7

Impact in

Papers in

N.J.B. McFarlane

21 papers receiving 583 citations

Peers

N.J.B. McFarlane
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 411
  • Small Animals 48
  • Safety, Risk, Reliability and Quality 61
  • Water Science and Technology 71
  • Nature and Landscape Conservation 46
Replace Yunhao Du with:
Yunhao Du China
Chong Zhou Singapore
Wesley L. Passos Brazil
Kim Arild Steen Denmark
Zhijie Huang China
Daniel Bolya United States
Yong Jae Lee United States
Huarui Wu China
Augusto Salazar Colombia
N.J.B. McFarlane relative to Yunhao Du China Yunhao Du's profile →
Citations per field
00.5×7.7×
Yunhao Du · 1×
Citations per year

Countries citing papers authored by N.J.B. McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by N.J.B. McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.J.B. McFarlane. 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 N.J.B. McFarlane. The network helps show where N.J.B. McFarlane may publish in the future.

Co-authors

The 25 scholars most cited alongside N.J.B. McFarlane, 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 N.J.B. McFarlane Line = papers co-authored together N.J.B. McFarlane 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 1995440
2 200198
3 199720
4 199818
5 200311
6 199610
7 20126
8 19976
9 20044
10 19914
11 19974
12 20084
13 20113
14 20103
15
Emerging technology for assessing the composition of livestock.
20053
16
EXTRACTING MORPHOLOGICAL DATA FROM 3D IMAGES OF PIGS
20042
17 20242
18 20132
19
A system for 3D imaging of pig shape for conformation assessment
20041
20 20021

About N.J.B. McFarlane

N.J.B. McFarlane is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Food Science, Surgery and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 643 indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Horticultural and Viticultural Research (3 papers), Fermentation and Sensory Analysis (2 papers), Plant Physiology and Cultivation Studies (2 papers), Water Quality Monitoring Technologies (2 papers), 3D Shape Modeling and Analysis (2 papers), Cell Image Analysis Techniques (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (411 citations), Small Animals (48 citations), Safety, Risk, Reliability and Quality (61 citations), Water Science and Technology (71 citations) and Nature and Landscape Conservation (46 citations). N.J.B. McFarlane has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include C.P. Schofield, R.D. Tillett, David W. Chan, Liñdsay G. Ross, J.A. Lines, C. Sinfort, Francis Sévila, Bruno Tisseyre, M.P. Coffey and Gordon Clapworthy. Their work appears in journals such as Computers and Electronics in Agriculture, International Journal of Intelligent Systems, Interface Focus, Machine Vision and Applications and Radiographics.

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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