Norbert Buch

867 citations
7 papers · 624 · 1 hit paper · h-index 6

Impact in

Papers in

Norbert Buch

7 papers receiving 594 citations

Norbert Buch's Hit Papers

A Review of Computer Vision Techniques for the Analysis of Urban Traffic 2011 · 466 citations
4660+5+10Years since publication100200300400

Peers

Norbert Buch
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 442
  • Automotive Engineering 188
  • Media Technology 90
  • Building and Construction 125
  • Safety, Risk, Reliability and Quality 75
Replace Sumedh Gupte with:
Sumedh Gupte United States
Neeraj K. Kanhere United States
Bogdan Stanciulescu France
Christoph G. Keller Germany
Stefan Atev United States
Jianying Zheng China
Tsong-Yi Chen Taiwan
Xiao Tan China
Liangji Fang China
Zonglin Meng United States
Norbert Buch relative to Sumedh Gupte United States Sumedh Gupte's profile →
Citations per field
00.5×3.8×
Sumedh Gupte · 1×
Citations per year

Countries citing papers authored by Norbert Buch

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Buch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Norbert Buch, 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 Norbert Buch Line = papers co-authored together Norbert Buch links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
A Review of Computer Vision Techniques for the Analysis of Urban Traffic
Hit paper breakdown →
2011466
2 201048
3 200942
4 200842
5
Vehicle localisation and classification in urban CCTV streams
200918
6 20145
7 20113

About Norbert Buch

Norbert Buch is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Artificial Intelligence, Civil and Structural Engineering and Information Systems, having authored 7 papers that have together received 624 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (3 papers), Fire Detection and Safety Systems (2 papers), Image Enhancement Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Risk and Safety Analysis (1 paper), Infrastructure Resilience and Vulnerability Analysis (1 paper) and Vehicle License Plate Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (442 citations), Automotive Engineering (188 citations), Media Technology (90 citations), Building and Construction (125 citations) and Safety, Risk, Reliability and Quality (75 citations). Norbert Buch has collaborated with scholars based in United Kingdom, Austria and Chile. Frequent co-authors include Sergio A. Velastín, James Orwell, François Fontaine and Louahdi Khoudour. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, Optical Engineering, IET Computer Vision and Research Repository (Kingston University London).

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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