Brian Surgenor

1.0k total citations
89 papers, 755 citations indexed

About

Brian Surgenor is a scholar working on Mechanical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brian Surgenor has authored 89 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Mechanical Engineering, 32 papers in Control and Systems Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brian Surgenor's work include Industrial Vision Systems and Defect Detection (19 papers), Hydraulic and Pneumatic Systems (17 papers) and Image and Object Detection Techniques (12 papers). Brian Surgenor is often cited by papers focused on Industrial Vision Systems and Defect Detection (19 papers), Hydraulic and Pneumatic Systems (17 papers) and Image and Object Detection Techniques (12 papers). Brian Surgenor collaborates with scholars based in Canada, Jordan and United States. Brian Surgenor's co-authors include Vedang Chauhan, N. D. Vaughan, Zhonghua Wang, Mohammed Abu Mallouh, J.K. Pieper, Jon G. Pharoah, Thomas J. Harris, Daniel Chen, Wenjun Zhang and Greg Schoenau and has published in prestigious journals such as Journal of Power Sources, Molecules and IEEE Transactions on Control Systems Technology.

In The Last Decade

Brian Surgenor

84 papers receiving 695 citations

Peers

Brian Surgenor
Comparison fields: 5 of 84
  • Control and Systems Engineering 308
  • Mechanical Engineering 238
  • Industrial and Manufacturing Engineering 163
  • Automotive Engineering 140
  • Electrical and Electronic Engineering 127
Replace Zhong Xiang with:
Zhong Xiang China
Michal Kelemen Slovakia
Ting Zou Canada
Zhenzhi He China
Marizan Sulaiman Malaysia
H. S. Cho South Korea
Bolun Du China
Mir Saeed Safizadeh Iran
Hassan Sayyaadi Iran
Zhichao You China
Zhong Xiang China View profile →
Citations per field, relative to Brian Surgenor
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Citations per year, relative to Brian Surgenor
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Countries citing papers authored by Brian Surgenor

Since Specialization
Citations

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

Fields of papers citing papers by Brian Surgenor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Surgenor

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Surgenor. A scholar is included among the top collaborators of Brian Surgenor 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 Surgenor. Brian Surgenor 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
# Work Indexed citations
1 0
2 4
3 21
4 11
5 3
6
Spatiotemporal volume video event detection for fault monitoring in assembly automation
1
7 2
8 5
9 6
10 19
11 6
12
Adaptive Visual Inspection for Assembly Line Parts Verification
2
13 2
14 8
15 25
16 18
17
Thermal Performance Analysis: An Expert Systems Approach
2
18 9
19
A compact model of a power house boiler
0
20 5

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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