Shane Brennan

1.2k citations
9 papers · 786 · 1 hit paper · h-index 7

Impact in

Papers in

Shane Brennan

9 papers receiving 754 citations

Shane Brennan's Hit Papers

Evaluating Appearance Models for Recognition, Reacquisition, and Tracking 2007 · 641 citations
6410+6+12Years since publication200400600

Peers

Shane Brennan
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 742
  • Biomedical Engineering 289
  • Safety, Risk, Reliability and Quality 42
  • Media Technology 23
  • Aerospace Engineering 56
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Countries citing papers authored by Shane Brennan

Since Specialization
Citations

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

Fields of papers citing papers by Shane Brennan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Shane Brennan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shane Brennan Line = papers co-authored together Shane Brennan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
Hit paper breakdown →
2007641
2 200956
3 201136
4
Results from a Real-time Stereo-based Pedestrian Detection System on a Moving Vehicle
200922
5
Turkey and the Politics of National Identity: Social, Economic and Cultural Transformation
20149
6 20109
7 20106
8 20175
9 20142

About Shane Brennan

Shane Brennan is a scholar working on Computer Vision and Pattern Recognition, Political Science and International Relations, Aerospace Engineering, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 9 papers that have together received 786 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Robotics and Sensor-Based Localization (3 papers), Fire Detection and Safety Systems (2 papers), Turkey's Politics and Society (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Face and Expression Recognition (1 paper), Advanced Vision and Imaging (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (742 citations), Biomedical Engineering (289 citations), Safety, Risk, Reliability and Quality (42 citations), Media Technology (23 citations) and Aerospace Engineering (56 citations). Shane Brennan has collaborated with scholars based in United States. Frequent co-authors include Tao Hai, Douglas A. Gray, Max Bajracharya, Larry Matthies, Baback Moghaddam, Andrew Howard, Arturo Rankin, Christopher Assad, A. Huertas and P. Bellutta. Their work appears in journals such as The International Journal of Robotics Research, Journal of Visual Culture, I.B.Tauris eBooks and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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