A. Azarbayejani

21 papers receiving 3.6k citations

Hit Papers

Pfinder: real-time tracking of the human body1997202620062016199750010001.5k2.0k2.5k

Peers

A. Azarbayejani
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 3.6k
  • Aerospace Engineering 630
  • Human-Computer Interaction 591
  • Artificial Intelligence 484
  • Biomedical Engineering 333
Replace Luigi Cinque with:
Luigi Cinque Italy
Hamed Pirsiavash United States
Esther Koller-Meier Switzerland
Dima Damen United Kingdom
Christopher R. Wren United States
Y. Shirai Japan
Adam Hoover United States
Greg Mori Canada
Kai O. Arras Germany
Mykhaylo Andriluka Germany
A. Azarbayejani relative to Luigi Cinque Italy Luigi Cinque's profile →
Citations per field
00.5×3.7×
Luigi Cinque · 1×
Citations per year

Countries citing papers authored by A. Azarbayejani

Since Specialization
Citations

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

Fields of papers citing papers by A. Azarbayejani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Azarbayejani

This figure shows the co-authorship network connecting the top 25 collaborators of A. Azarbayejani. A scholar is included among the top collaborators of A. Azarbayejani 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 A. Azarbayejani. A. Azarbayejani 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 8
2 80
3 5
4 8
5 5
6 6
7 0
8 109
9 36
10 65
11 138
12 36
13
Pfinder: real-time tracking of the human bodybreakdown →
2884
14 1
15
Visually guided animation
1
16 109
17
Smart Spaces
2
18 341
19 1
20 1

About A. Azarbayejani

A. Azarbayejani is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 25 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Robotics and Sensor-Based Localization (6 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Human-Computer Interaction (591 citations) and Aerospace Engineering (630 citations). A. Azarbayejani has collaborated with scholars based in United States and Japan. Frequent co-authors include Alex Pentland, Trevor Darrell, Christopher R. Wren, B. Horowitz, Tony Jebara, Thad Starner, Alexander P. Pentland, Aaron Bobick, Lee W. Campbell and Dávid Becker. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Medical Internet Research and IEEE Signal Processing Magazine.

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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