Lloyd Windrim

431 total citations
11 papers, 316 citations indexed

About

Lloyd Windrim is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Lloyd Windrim has authored 11 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Media Technology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Environmental Engineering. Recurrent topics in Lloyd Windrim's work include Remote-Sensing Image Classification (5 papers), 3D Surveying and Cultural Heritage (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Lloyd Windrim is often cited by papers focused on Remote-Sensing Image Classification (5 papers), 3D Surveying and Cultural Heritage (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Lloyd Windrim collaborates with scholars based in Australia and Switzerland. Lloyd Windrim's co-authors include Mitch Bryson, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, Angus J. Carnegie, Murray Webster, Christine Stone, James Bennett, Juan Nieto and Raymond Leung and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Remote Sensing.

In The Last Decade

Lloyd Windrim

10 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lloyd Windrim Australia	9	134	95	70	69	45	11	316
Arnaud Le Bris France	12	169 1.3×	151 1.6×	143 2.0×	40 0.6×	58 1.3×	46	425
Ali Shamsoddini Iran	11	157 1.2×	41 0.4×	116 1.7×	57 0.8×	35 0.8×	28	324
Jianchen Liu China	9	142 1.1×	34 0.4×	107 1.5×	45 0.7×	78 1.7×	35	401
Claudia Paris Italy	12	287 2.1×	131 1.4×	223 3.2×	139 2.0×	70 1.6×	51	545
Aijun Xu China	9	92 0.7×	45 0.5×	91 1.3×	26 0.4×	44 1.0×	35	303
Dajun Li China	11	128 1.0×	64 0.7×	78 1.1×	23 0.3×	103 2.3×	25	308
Anastasiia Safonova Russia	7	186 1.4×	40 0.4×	202 2.9×	25 0.4×	48 1.1×	14	410
Jie Shao China	10	184 1.4×	15 0.2×	99 1.4×	50 0.7×	44 1.0×	16	344
Heidar Rastiveis Iran	11	204 1.5×	104 1.1×	60 0.9×	17 0.2×	64 1.4×	34	364
José David Bermúdez Castro Brazil	11	145 1.1×	123 1.3×	175 2.5×	16 0.2×	85 1.9×	19	410

Countries citing papers authored by Lloyd Windrim

Since Specialization

Citations

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

Fields of papers citing papers by Lloyd Windrim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lloyd Windrim

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

All Works

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11 of 11 papers shown

Windrim, Lloyd, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, & Raymond Leung. (2023). Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data. Geoscience Frontiers. 14(4). 101562–101562. 11 indexed citations

Bargoti, Suchet, et al.. (2022). Scalable Port Inspections Through Underwater, Terrestrial and Aerial Robotic Platforms. 1 indexed citations

Windrim, Lloyd, et al.. (2021). A transfer learning approach to space debris classification using observational light curve data. Acta Astronautica. 181. 301–315. 14 indexed citations

Windrim, Lloyd, et al.. (2021). Automated Painting Survey, Degree of Rusting Classification, and Mapping with Machine Learning. 1 indexed citations

Windrim, Lloyd & Mitch Bryson. (2020). Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning. Remote Sensing. 12(9). 1469–1469. 94 indexed citations

Windrim, Lloyd, Angus J. Carnegie, Murray Webster, & Mitch Bryson. (2020). Tree Detection and Health Monitoring in Multispectral Aerial Imagery and Photogrammetric Pointclouds Using Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 2554–2572. 28 indexed citations

Windrim, Lloyd, et al.. (2019). Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and Machine Learning. Remote Sensing. 11(6). 733–733. 35 indexed citations

Windrim, Lloyd, et al.. (2019). Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders. Remote Sensing. 11(7). 864–864. 38 indexed citations

Windrim, Lloyd, et al.. (2018). Pretraining for Hyperspectral Convolutional Neural Network Classification. IEEE Transactions on Geoscience and Remote Sensing. 56(5). 2798–2810. 52 indexed citations

10.

Windrim, Lloyd, et al.. (2017). A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images. IEEE Transactions on Image Processing. 27(2). 665–677. 34 indexed citations

11.

Windrim, Lloyd, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, & Juan Nieto. (2016). Unsupervised feature learning for illumination robustness. 4453–4457. 8 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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