Tom Botterill

790 total citations
29 papers, 563 citations indexed

About

Tom Botterill is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Tom Botterill has authored 29 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Aerospace Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Tom Botterill's work include Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (13 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Tom Botterill is often cited by papers focused on Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (13 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Tom Botterill collaborates with scholars based in New Zealand, United Kingdom and United States. Tom Botterill's co-authors include Steven Mills, Richard Green, Sam Corbett‐Davies, Jessica Lin, Xiaoqi Chen, Richard D. Green, Chris Hide, Samuel Williams, C. Hide and Hilary McMillan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and IEEE Transactions on Medical Imaging.

In The Last Decade

Tom Botterill

29 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Botterill New Zealand 14 266 256 167 113 83 29 563
Alberto Pretto Italy 13 320 1.2× 380 1.5× 286 1.7× 114 1.0× 56 0.7× 35 856
Pei An China 11 396 1.5× 275 1.1× 59 0.4× 63 0.6× 66 0.8× 38 767
Héber Sobreira Portugal 10 131 0.5× 223 0.9× 113 0.7× 60 0.5× 67 0.8× 25 366
Carl Wellington United States 9 213 0.8× 164 0.6× 174 1.0× 33 0.3× 98 1.2× 18 560
Thomas Läbe Germany 15 211 0.8× 227 0.9× 190 1.1× 43 0.4× 150 1.8× 22 518
Gustavo Freitas Brazil 13 218 0.8× 242 0.9× 87 0.5× 95 0.8× 67 0.8× 75 629
M.J. Aldon France 15 400 1.5× 517 2.0× 119 0.7× 162 1.4× 98 1.2× 33 878
André Aguiar Portugal 10 108 0.4× 135 0.5× 171 1.0× 37 0.3× 82 1.0× 18 350
Jorge Fuentes-Pacheco Mexico 5 454 1.7× 456 1.8× 40 0.2× 124 1.1× 58 0.7× 12 671
Abdelhafid Elouardi France 11 186 0.7× 243 0.9× 41 0.2× 121 1.1× 22 0.3× 60 429

Countries citing papers authored by Tom Botterill

Since Specialization
Citations

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

Fields of papers citing papers by Tom Botterill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Botterill

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Botterill. A scholar is included among the top collaborators of Tom Botterill 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 Tom Botterill. Tom Botterill 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.
Botterill, Tom & Hilary McMillan. (2023). Using Machine Learning to Identify Hydrologic Signatures With an Encoder–Decoder Framework. Water Resources Research. 59(3). 19 indexed citations
2.
Botterill, Tom, et al.. (2015). Gibbs sampling for 2D cane structure extraction from images. 0. 461–465. 1 indexed citations
3.
Botterill, Tom, et al.. (2014). A topological constrained model-based approach to correspondence problems for branched structures. University of Canterbury Research Repository (University of Canterbury). 60–65. 1 indexed citations
4.
Botterill, Tom, et al.. (2014). First steps in translating human cognitive processes of cane pruning grapevines into AI rules for automated robotic pruning. SHILAP Revista de lepidopterología. 3. 1016–1016. 1 indexed citations
5.
Botterill, Tom, Thomas Lotz, Amer Sohail Kashif, & J. Geoffrey Chase. (2014). Reconstructing 3-D Skin Surface Motion for the DIET Breast Cancer Screening System. IEEE Transactions on Medical Imaging. 33(5). 1109–1118. 19 indexed citations
6.
Botterill, Tom, et al.. (2014). Voxel carving for collision avoidance for a vine pruning robot arm. 54–59. 1 indexed citations
7.
Botterill, Tom, et al.. (2013). Detecting structured light patterns in colour images using a support vector machine. 43. 1202–1206. 2 indexed citations
8.
Botterill, Tom, et al.. (2013). Split-and-merge EM for vine image segmentation. 3578. 270–275. 2 indexed citations
9.
Botterill, Tom, Richard Green, & Steven Mills. (2013). Finding a vine's structure by bottom-up parsing of cane edges. 112–117. 16 indexed citations
10.
Botterill, Tom, Steven Mills, Richard Green, & Thomas Lotz. (2012). Optimising Light Source Positions to Minimise Illumination Variation for 3D Vision. 222–229. 10 indexed citations
11.
Hide, C., Terry Moore, & Tom Botterill. (2011). Low Cost IMU, GPS and Camera Integration for Handheld Indoor Positioning. 1378–1385. 3 indexed citations
12.
Botterill, Tom, et al.. (2011). Fast RANSAC Hypothesis Generation for Essential Matrix Estimation. 197 198. 561–566. 10 indexed citations
13.
Hide, C., et al.. (2010). Vision-Aided IMU for Handheld Pedestrian Navigation. 534–541. 21 indexed citations
14.
Botterill, Tom, Steven Mills, & Richard Green. (2010). Bag‐of‐words‐driven, single‐camera simultaneous localization and mapping. Journal of Field Robotics. 28(2). 204–226. 39 indexed citations
15.
Hide, Chris, et al.. (2010). Low cost vision-aided IMU for pedestrian navigation. 1–7. 48 indexed citations
16.
Hide, Chris & Tom Botterill. (2010). Development of an Integrated IMU, Image Recognition and Orientation Sensor for Pedestrian Navigation. 250–258. 3 indexed citations
17.
Hide, C., et al.. (2009). An Integrated IMU, GNSS and Image Recognition Sensor for Pedestrian Navigation. 527–537. 21 indexed citations
18.
Botterill, Tom, et al.. (2009). New Conditional Sampling Strategies for Speeded-Up RANSAC. 33.1–33.11. 34 indexed citations
19.
Botterill, Tom, Richard Green, & Steven Mills. (2009). A Bag-of-Words Speedometer for single camera SLAM. 91–96. 2 indexed citations
20.
Botterill, Tom, Steven Mills, & Richard Green. (2008). Speeded-up Bag-of-Words algorithm for robot localisation through scene recognition. 1–6. 28 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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