Conrad Sanderson

7.1k total citations · 1 hit paper
99 papers, 3.4k citations indexed

About

Conrad Sanderson is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Conrad Sanderson has authored 99 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 30 papers in Signal Processing and 22 papers in Artificial Intelligence. Recurrent topics in Conrad Sanderson's work include Face and Expression Recognition (34 papers), Face recognition and analysis (27 papers) and Video Surveillance and Tracking Methods (24 papers). Conrad Sanderson is often cited by papers focused on Face and Expression Recognition (34 papers), Face recognition and analysis (27 papers) and Video Surveillance and Tracking Methods (24 papers). Conrad Sanderson collaborates with scholars based in Australia, Switzerland and Singapore. Conrad Sanderson's co-authors include Brian C. Lovell, Ryan R. Curtin, Dirk Eddelbuettel, Mehrtash Harandi, Kuldip K. Paliwal, Andres Sanin, K.K. Paliwal, Samy Bengio, Vikas Reddy and Sareh Shirazi and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Conrad Sanderson

97 papers receiving 3.2k citations

Hit Papers

Armadillo: a template-based C++ library for linear algebra 2016 2026 2019 2022 2016 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. Armadillo: a template-based C++ library for linear algebra
    2016 380 citations Conrad Sanderson, Ryan R. Curtin The Journal of Open Source Software profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conrad Sanderson Australia 30 1.9k 748 647 288 192 99 3.4k
Yossi Rubner United States 12 2.7k 1.4× 997 1.3× 535 0.8× 365 1.3× 343 1.8× 13 4.6k
Jie Gui China 30 2.1k 1.1× 975 1.3× 438 0.7× 481 1.7× 274 1.4× 106 4.1k
Frank Nielsen Japan 26 1.1k 0.6× 805 1.1× 241 0.4× 298 1.0× 216 1.1× 161 3.1k
Michael Kirby United States 22 2.8k 1.5× 656 0.9× 868 1.3× 478 1.7× 537 2.8× 186 4.7k
Ruby C. Weng Taiwan 11 1.1k 0.6× 1.3k 1.8× 317 0.5× 387 1.3× 105 0.5× 24 3.2k
Tapani Raiko Finland 22 1.2k 0.6× 1.5k 2.0× 350 0.5× 119 0.4× 137 0.7× 61 3.2k
David Arthur United States 9 1.2k 0.7× 1.8k 2.4× 686 1.1× 217 0.8× 185 1.0× 16 4.4k
Robert M. Freund United States 25 1.6k 0.9× 1.2k 1.6× 303 0.5× 197 0.7× 488 2.5× 84 4.3k
Alan Wee‐Chung Liew Australia 38 1.6k 0.9× 1.1k 1.4× 528 0.8× 451 1.6× 75 0.4× 227 4.4k
Patrice Simard United States 25 1.4k 0.7× 1.5k 2.0× 339 0.5× 156 0.5× 104 0.5× 35 3.1k

Countries citing papers authored by Conrad Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Conrad Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conrad Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of Conrad Sanderson. A scholar is included among the top collaborators of Conrad Sanderson 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 Conrad Sanderson. Conrad Sanderson 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.
Sanderson, Conrad, et al.. (2024). Resolving Ethics Trade-offs in Implementing Responsible AI. 1208–1213. 5 indexed citations
2.
Sanderson, Conrad, David Douglas, Qinghua Lu, et al.. (2023). AI Ethics Principles in Practice: Perspectives of Designers and Developers. Griffith Research Online (Griffith University, Queensland, Australia). 4(2). 171–187. 42 indexed citations
3.
Curtin, Ryan R., et al.. (2023). mlpack 4: a fast, header-only C++ machine learninglibrary. The Journal of Open Source Software. 8(82). 5026–5026. 12 indexed citations
4.
Newton, M. A. Hakim, et al.. (2023). Solving travelling thief problems using coordination based methods. Journal of Heuristics. 29(4-6). 487–544. 3 indexed citations
5.
Mason, Claire, Stefan Hajkowicz, Claire Naughtin, et al.. (2022). Differentiating artificial intelligence activity clusters in Australia. Technology in Society. 71. 102104–102104. 8 indexed citations
6.
Sandino, Juan, Peter Caccetta, Conrad Sanderson, Frédéric Maire, & Felipé Gonzalez. (2022). Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance. 2022 IEEE Aerospace Conference (AERO). 1–16. 5 indexed citations
7.
Sanderson, Conrad, et al.. (2021). Opportunistic emulation of computationally expensive simulations via Deep Learning. arXiv (Cornell University).
8.
Sanderson, Conrad & Ryan R. Curtin. (2017). gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation. The Journal of Open Source Software. 2(18). 2 indexed citations
9.
Ge, Zongyuan, Chris McCool, Conrad Sanderson, & Peter Corke. (2015). Content specific feature learning for fine-grained plant classification. Griffith Research Online (Griffith University, Queensland, Australia). 1391. 14 indexed citations
10.
Harandi, Mehrtash, Richard Hartley, Chunhua Shen, Brian C. Lovell, & Conrad Sanderson. (2015). Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. International Journal of Computer Vision. 114(2-3). 113–136. 69 indexed citations
11.
Shirazi, Sareh, Conrad Sanderson, Chris McCool, & Mehrtash Harandi. (2014). Improved Object Tracking via Bags of Affine Subspaces.. 2 indexed citations
12.
Alavi, Azadeh, Arnold Wiliem, Kun Zhao, Brian C. Lovell, & Conrad Sanderson. (2014). Random projections on manifolds of Symmetric Positive Definite matrices for image classification. arXiv (Cornell University). 301–308. 9 indexed citations
13.
Sanin, Andres, Conrad Sanderson, & Brian C. Lovell. (2011). Shadow detection: A survey and comparative evaluation of recent methods. Pattern Recognition. 45(4). 1684–1695. 223 indexed citations
14.
Reddy, Vikas, Conrad Sanderson, & Brian C. Lovell. (2010). Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling. 5558. 3939–3942. 10 indexed citations
15.
Reddy, Vikas, Conrad Sanderson, Brian C. Lovell, & Abbas Bigdeli. (2009). An efficient background estimation algorithm for embedded smart cameras. Griffith Research Online (Griffith University, Queensland, Australia). 1–7. 11 indexed citations
16.
Bigdeli, Abbas, et al.. (2007). Vision Processing in Intelligent CCTV for Mass Transport Security. 1–4. 11 indexed citations
17.
Cardinaux, Fabien, Conrad Sanderson, & Samy Bengio. (2005). User authentication via adapted statistical models of face images. IEEE Transactions on Signal Processing. 54(1). 361–373. 67 indexed citations
18.
Sanderson, Conrad & Kuldip K. Paliwal. (2004). On the Use of Speech and Face Information for Identity Verification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations
19.
Sanderson, Conrad. (2003). Automatic Person Verification Using Speech and Face Information. Griffith Research Online (Griffith University, Queensland, Australia). 33 indexed citations
20.
Sanderson, Conrad & K.K. Paliwal. (2003). Fast features for face authentication under illumination direction changes. Pattern Recognition Letters. 24(14). 2409–2419. 103 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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