Brian C. Lovell

7.7k total citations
263 papers, 4.3k citations indexed

About

Brian C. Lovell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Brian C. Lovell has authored 263 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Computer Vision and Pattern Recognition, 58 papers in Artificial Intelligence and 42 papers in Astronomy and Astrophysics. Recurrent topics in Brian C. Lovell's work include Face and Expression Recognition (47 papers), Ionosphere and magnetosphere dynamics (42 papers) and Video Surveillance and Tracking Methods (40 papers). Brian C. Lovell is often cited by papers focused on Face and Expression Recognition (47 papers), Ionosphere and magnetosphere dynamics (42 papers) and Video Surveillance and Tracking Methods (40 papers). Brian C. Lovell collaborates with scholars based in Australia, China and India. Brian C. Lovell's co-authors include Conrad Sanderson, Mehrtash Harandi, Arnold Wiliem, Ildiko Horvath, Pascal Bamford, Andres Sanin, Mahsa Baktashmotlagh, Mathieu Salzmann, Robert C. Williamson and Vikas Reddy and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Brian C. Lovell

245 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian C. Lovell Australia 34 2.8k 1.1k 550 422 347 263 4.3k
Aurélien Lucchi Switzerland 20 4.7k 1.7× 1.6k 1.5× 2.1k 3.8× 126 0.3× 651 1.9× 52 8.1k
Jorge S. Marques Portugal 29 3.0k 1.1× 1.9k 1.7× 277 0.5× 901 2.1× 150 0.4× 181 5.4k
Eric Mintun United States 6 1.9k 0.7× 904 0.8× 404 0.7× 84 0.2× 331 1.0× 7 4.1k
Vincent Dumoulin United States 10 2.1k 0.8× 1.5k 1.4× 438 0.8× 467 1.1× 181 0.5× 15 4.8k
Bryan Catanzaro United States 24 3.0k 1.1× 1.3k 1.2× 303 0.6× 368 0.9× 153 0.4× 64 6.0k
Alessandro Verri Italy 31 3.5k 1.3× 1.0k 0.9× 655 1.2× 304 0.7× 895 2.6× 138 6.0k
Ueli Meier Switzerland 16 3.2k 1.1× 2.2k 2.0× 859 1.6× 411 1.0× 168 0.5× 17 6.8k
J. Illingworth United Kingdom 24 4.4k 1.6× 662 0.6× 1.1k 2.1× 187 0.4× 834 2.4× 90 6.3k
Tatsuya Harada Japan 34 2.1k 0.8× 1.1k 1.0× 360 0.7× 253 0.6× 475 1.4× 236 3.9k
Michael Maire United States 21 5.0k 1.8× 1.3k 1.2× 1.3k 2.4× 217 0.5× 397 1.1× 40 6.4k

Countries citing papers authored by Brian C. Lovell

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Lovell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Lovell. 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 Brian C. Lovell. The network helps show where Brian C. Lovell may publish in the future.

Co-authorship network of co-authors of Brian C. Lovell

This figure shows the co-authorship network connecting the top 25 collaborators of Brian C. Lovell. A scholar is included among the top collaborators of Brian C. Lovell 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 Brian C. Lovell. Brian C. Lovell 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.
Hobson, Peter, Brian C. Lovell, Gennaro Percannella, Mario Vento, & Arnold Wiliem. (2014). Classifying Anti-nuclear Antibodies HEp-2 Images: A Benchmarking Platform. 3233–3238. 21 indexed citations
2.
Baktashmotlagh, Mahsa, Mehrtash Harandi, Brian C. Lovell, & Mathieu Salzmann. (2013). Unsupervised Domain Adaptation by Domain Invariant Projection. ANU Open Research (Australian National University). 769–776. 266 indexed citations
3.
Baktashmotlagh, Mahsa, Mehrtash Harandi, Abbas Bigdeli, Brian C. Lovell, & Mathieu Salzmann. (2013). Non-Linear Stationary Subspace Analysis with Application to Video Classification. Queensland's institutional digital repository (The University of Queensland). 450–458. 7 indexed citations
4.
Lovell, Brian C., et al.. (2007). Robust Face Recognition in Rotated Eigen Space. Queensland's institutional digital repository (The University of Queensland). 11 indexed citations
5.
Lovell, Brian C., et al.. (2003). Algebraic Curve Fitting Support Vector Machines. Queensland's institutional digital repository (The University of Queensland). 2. 693–702. 2 indexed citations
6.
Andrews, Robert J. & Brian C. Lovell. (2003). OFCat: An Extensible GUI-Driven Optical Flow Comparison Tool. Virology. 1(1). 129–133. 4 indexed citations
7.
Liu, Nianjun & Brian C. Lovell. (2003). Gesture Classification Using Hidden Markov Models and Viterbi Path Counting. Queensland's institutional digital repository (The University of Queensland). 1. 273–282. 16 indexed citations
8.
Lovell, Brian C.. (2003). Hidden Markov Models for Spatio-Temporal Pattern Recognition and Image Segmentation. Queensland's institutional digital repository (The University of Queensland). 1(1). 60–65. 1 indexed citations
9.
Appleton, Ben, et al.. (2003). Autonomous Direct 3D Segmentation of Articular Knee Cartilage. Queensland's institutional digital repository (The University of Queensland). 1(1). 417–420. 3 indexed citations
10.
Lovell, Brian C., et al.. (2002). General Purpose Real-Time Object Tracking using Hausdorff Transforms. Queensland's institutional digital repository (The University of Queensland). 1. 1–6. 6 indexed citations
11.
Liu, Nianjun & Brian C. Lovell. (2002). Real-time two hands tracking system. Queensland's institutional digital repository (The University of Queensland). 1494–1497. 1 indexed citations
12.
Lovell, Brian C., et al.. (2002). Low-Cost Real-Time Gesture Recognition. Queensland's institutional digital repository (The University of Queensland). 1. 241–246. 3 indexed citations
13.
Chen, Shaokang & Brian C. Lovell. (2001). Real-Time MMX-Accelerated Image Stabilization System. Image and Vision Computing. 1. 163–168. 1 indexed citations
14.
Liu, Nianjun & Brian C. Lovell. (2001). MMX-Accelerated Real-Time Hand Tracking System. Image and Vision Computing. 1. 381–385. 21 indexed citations
15.
Bamford, Pascal & Brian C. Lovell. (1999). A methodology for quality control in cell nucleus segmentation. Queensland's institutional digital repository (The University of Queensland). 1. 21–25. 3 indexed citations
16.
Jain, Anil K., Svetha Venkatesh, & Brian C. Lovell. (1998). Fourteenth International Conference on Pattern Recognition, August 16-20, 1998, Convention and Exhibition Centre, Brisbane, Australia : proceedings. 1 indexed citations
17.
Bradley, Andrew P., Paul Jackway, & Brian C. Lovell. (1995). Classification In Scale-Space: Applications To Texture. Queensland's institutional digital repository (The University of Queensland). 1. 375–376. 1 indexed citations
18.
Bradley, Andrew P. & Brian C. Lovell. (1995). Cost-Sensitive Decision Tree Pruning: Use of the ROC Curve. Queensland's institutional digital repository (The University of Queensland). 1. 7 indexed citations
19.
Boashash, B., Brian C. Lovell, & H.J. Whitehouse. (1987). High-resolution time-frequency signal analysis by parametric modelling of the Wigner-ville distribution. 297. 10 indexed citations
20.
Lovell, Brian C. & B. Boashash. (1987). Evaluation of criteria for detection of changes in nonstationary signals. 291. 4 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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