Brian C. Lovell

7.7k citations
263 papers · 4.3k indexed · h-index 34

Brian C. Lovell

245 papers receiving 4.1k citations

Peers

Brian C. Lovell
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 2.8k
  • Artificial Intelligence 1.1k
  • Media Technology 550
  • Signal Processing 422
  • Aerospace Engineering 347
Replace Ueli Meier with:
Ueli Meier Switzerland
Bryan Catanzaro United States
Aurélien Lucchi Switzerland
Zachary DeVito United States
Edward Z. Yang United States
Chi‐Wing Fu Hong Kong
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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
#WorkIndexed citations
1 21
2 266
3
Non-Linear Stationary Subspace Analysis with Application to Video Classification
7
4
Robust Face Recognition in Rotated Eigen Space
11
5
Algebraic Curve Fitting Support Vector Machines
2
6 4
7
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting
16
8
Hidden Markov Models for Spatio-Temporal Pattern Recognition and Image Segmentation
1
9
Autonomous Direct 3D Segmentation of Articular Knee Cartilage
3
10
General Purpose Real-Time Object Tracking using Hausdorff Transforms
6
11
Real-time two hands tracking system
1
12
Low-Cost Real-Time Gesture Recognition
3
13
Real-Time MMX-Accelerated Image Stabilization System
1
14
MMX-Accelerated Real-Time Hand Tracking System
21
15
A methodology for quality control in cell nucleus segmentation
3
16
Fourteenth International Conference on Pattern Recognition, August 16-20, 1998, Convention and Exhibition Centre, Brisbane, Australia : proceedings
1
17
Classification In Scale-Space: Applications To Texture
1
18
Cost-Sensitive Decision Tree Pruning: Use of the ROC Curve
7
19
High-resolution time-frequency signal analysis by parametric modelling of the Wigner-ville distribution
10
20
Evaluation of criteria for detection of changes in nonstationary signals
4

About Brian C. Lovell

Brian C. Lovell is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 263 papers that have together received 4.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (47 papers), Ionosphere and magnetosphere dynamics (42 papers) and Video Surveillance and Tracking Methods (40 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Media Technology (550 citations) and Signal Processing (422 citations). Brian C. Lovell has collaborated with scholars based in Australia, China and India. Frequent 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. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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