James Underwood

3.6k total citations · 2 hit papers
67 papers, 2.5k citations indexed

About

James Underwood is a scholar working on Plant Science, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Underwood has authored 67 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 23 papers in Aerospace Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in James Underwood's work include Robotics and Sensor-Based Localization (21 papers), Smart Agriculture and AI (13 papers) and Remote Sensing and LiDAR Applications (12 papers). James Underwood is often cited by papers focused on Robotics and Sensor-Based Localization (21 papers), Smart Agriculture and AI (13 papers) and Remote Sensing and LiDAR Applications (12 papers). James Underwood collaborates with scholars based in Australia, United States and Italy. James Underwood's co-authors include Suchet Bargoti, Alexander Wendel, Bertrand Douillard, Salah Sukkarieh, Giulio Reina, Alex Frenkel, Kerry B. Walsh, Calvin Hung, Juan Nieto and Annalisa Milella and has published in prestigious journals such as Journal of Dairy Science, Sensors and Surface Science.

In The Last Decade

James Underwood

62 papers receiving 2.4k citations

Hit Papers

On the segmentation of 3D... 2011 2026 2016 2021 2011 2017 100 200 300
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.

  1. On the segmentation of 3D LIDAR point clouds
    2011 362 citations Bertrand Douillard, James Underwood et al. profile →
  2. Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards
    2017 361 citations Suchet Bargoti, James Underwood Journal of Field Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Underwood Australia 27 1.2k 697 617 547 485 67 2.5k
Jordi Palacín Spain 26 683 0.6× 576 0.8× 273 0.4× 482 0.9× 436 0.9× 101 2.2k
João Valente Netherlands 24 689 0.6× 396 0.6× 634 1.0× 586 1.1× 442 0.9× 89 2.0k
Lie Tang United States 31 1.3k 1.1× 387 0.6× 180 0.3× 262 0.5× 576 1.2× 111 2.7k
Inkyu Sa Australia 19 1.4k 1.1× 225 0.3× 500 0.8× 647 1.2× 448 0.9× 41 2.3k
Heiner Kuhlmann Germany 27 1.0k 0.8× 1.1k 1.6× 588 1.0× 325 0.6× 713 1.5× 119 2.5k
Andres Milioto Germany 12 412 0.3× 562 0.8× 547 0.9× 723 1.3× 159 0.3× 17 1.6k
Feras Dayoub Australia 18 1.1k 0.9× 154 0.2× 1.0k 1.7× 1.5k 2.8× 289 0.6× 55 3.1k
Telmo Adão Portugal 16 626 0.5× 687 1.0× 191 0.3× 276 0.5× 894 1.8× 71 2.0k
Ángela Ribeiro Spain 31 2.0k 1.7× 565 0.8× 179 0.3× 295 0.5× 978 2.0× 85 2.9k
Cunjia Liu United Kingdom 33 580 0.5× 270 0.4× 745 1.2× 472 0.9× 479 1.0× 124 2.9k

Countries citing papers authored by James Underwood

Since Specialization
Citations

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

Fields of papers citing papers by James Underwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Underwood

This figure shows the co-authorship network connecting the top 25 collaborators of James Underwood. A scholar is included among the top collaborators of James Underwood 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 James Underwood. James Underwood 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.
2.
Scalisi, Alessio, M.G. O’Connell, D.M. Whitfield, James Underwood, & Ian Goodwin. (2023). A ground-based mobile platform to measure and map canopy thermal indices in a nectarine orchard. Acta Horticulturae. 147–156. 2 indexed citations
3.
4.
Underwood, James, et al.. (2021). Pairwise comparison locomotion scoring for dairy cattle. Journal of Dairy Science. 104(5). 6185–6193. 10 indexed citations
5.
Underwood, James. (2017). Travel, Emotion and Identity: An exploration into the Experiences of Students in Post 16 education for whom Studying in English Means Working in a Foreign Language and Culture. New Trends and Issues Proceedings on Humanities and Social Sciences. 2(5). 1 indexed citations
6.
Wendel, Alexander & James Underwood. (2017). Illumination compensation in ground based hyperspectral imaging. ISPRS Journal of Photogrammetry and Remote Sensing. 129. 162–178. 40 indexed citations
7.
Bargoti, Suchet & James Underwood. (2017). Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards. Journal of Field Robotics. 34(6). 1039–1060. 361 indexed citations breakdown →
8.
Bargoti, Suchet, James Underwood, Juan Nieto, & Salah Sukkarieh. (2015). A Pipeline for Trunk Detection in Trellis Structured Apple Orchards. Journal of Field Robotics. 32(8). 1075–1094. 37 indexed citations
9.
Underwood, James, et al.. (2013). Explicit 3D change detection using ray-tracing in spherical coordinates. 4735–4741. 34 indexed citations
10.
Douillard, Bertrand, et al.. (2012). Scan segments matching for pairwise 3D alignment. 3033–3040. 40 indexed citations
11.
Reina, Giulio, Annalisa Milella, & James Underwood. (2012). Self-learning classification of radar features for scene understanding. Robotics and Autonomous Systems. 60(11). 1377–1388. 31 indexed citations
12.
Douillard, Bertrand, et al.. (2011). On the segmentation of 3D LIDAR point clouds. 2798–2805. 362 indexed citations breakdown →
13.
Brunner, Christopher, Thierry Peynot, & James Underwood. (2009). Towards Discrimination of Challenging Conditions for UGVs with Visual and Infrared Sensors. QUT ePrints (Queensland University of Technology). 2 indexed citations
14.
Allen, Trevor, Andrew J. Hill, James Underwood, & Steve Scheding. (2009). Dynamic path planning with multi-agent data fusion - The Parallel Hierarchical Replanner. 5422. 3245–3250. 3 indexed citations
15.
Underwood, James, et al.. (2008). Implementation of high-throughput screening for Fabry disease in Toronto dialysis patients. Clinical Kidney Journal. 1(2). 129–130. 7 indexed citations
16.
Kodagoda, Sarath, et al.. (2006). Sensor Registration and Calibration using Moving Targets. 1–6. 3 indexed citations
17.
Mun, Bongjin Simon, N. Mannella, Sang‐Koog Kim, et al.. (2002). Probing buried interfaces with soft x-ray standing wave spectroscopy: application to the Fe/Cr interface. Journal of Physics Condensed Matter. 14(23). L407–L420. 27 indexed citations
18.
Capasso, C., W. Ng, Avijit K. Ray-Chaudhuri, et al.. (1993). Scanning photoemission microscopy on MAXIMUM reaches 0.1 micron resolution. Surface Science. 287-288. 1046–1050. 11 indexed citations
19.
Milligan, Ryan O. & James Underwood. (1973). Evolution of X-Ray Structures.. Bulletin of the American Astronomical Society. 5. 419. 2 indexed citations
20.
Underwood, James. (1971). Redirecting Environmental Education.. 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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