Ben Harwood

617 total citations
6 papers, 306 citations indexed

About

Ben Harwood is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ben Harwood has authored 6 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Ben Harwood's work include Video Surveillance and Tracking Methods (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Robotics and Sensor-Based Localization (2 papers). Ben Harwood is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Robotics and Sensor-Based Localization (2 papers). Ben Harwood collaborates with scholars based in Australia. Ben Harwood's co-authors include Tom Drummond, Gustavo Carneiro, Vijay Kumar B G, Ian Reid, Michael Milford, Sourav Garg, Gaurangi Anand, Rafael Felix, Michele Sasdelli and Cheng Soon Ong and has published in prestigious journals such as IEEE Robotics and Automation Letters, Adelaide Research & Scholarship (AR&S) (University of Adelaide) and Monash University Research Portal (Monash University).

In The Last Decade

Ben Harwood

5 papers receiving 285 citations

Peers

Ben Harwood
Qing Sun China
Josh Harguess United States
Jen-Hao Hsiao United States
André Araujo United States
S. Charles Brubaker United States
Apoorv Vyas Switzerland
Qing Sun China
Ben Harwood
Citations per year, relative to Ben Harwood Ben Harwood (= 1×) peers Qing Sun

Countries citing papers authored by Ben Harwood

Since Specialization
Citations

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

Fields of papers citing papers by Ben Harwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Harwood

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

All Works

6 of 6 papers shown
1.
Chadès, Iadine, Melanie J. McGrath, Erin Bohensky, et al.. (2025). Four Compelling Reasons to Urgently Integrate AI Development With Humanities, Social and Economics Sciences. Monash University Research Portal (Monash University). 6(4). 453–457.
2.
Garg, Sourav, Ben Harwood, Gaurangi Anand, & Michael Milford. (2020). Delta Descriptors: Change-Based Place Representation for Robust Visual Localization. IEEE Robotics and Automation Letters. 5(4). 5120–5127. 25 indexed citations
3.
Felix, Rafael, Ben Harwood, Michele Sasdelli, & Gustavo Carneiro. (2019). Generalised zero-shot learning with domain classification in a joint semantic and visual space. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 10 indexed citations
4.
Harwood, Ben, et al.. (2018). Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels. 151–155. 17 indexed citations
5.
Harwood, Ben, Vijay Kumar B G, Gustavo Carneiro, Ian Reid, & Tom Drummond. (2017). Smart Mining for Deep Metric Learning. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2840–2848. 187 indexed citations
6.
Harwood, Ben & Tom Drummond. (2016). FANNG: Fast Approximate Nearest Neighbour Graphs. 5713–5722. 67 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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