Bart Nabbe

1.1k citations
14 papers · 668 · 1 hit paper · h-index 8

Impact in

Papers in

Bart Nabbe

13 papers receiving 625 citations

Bart Nabbe's Hit Papers

Panoptic Studio: A Massively Multiview System for Social Motion Capture 2015 · 306 citations
3060+3+7Years since publication100200300

Peers

Bart Nabbe
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 532
  • Human-Computer Interaction 96
  • Computer Graphics and Computer-Aided Design 28
  • Computational Mechanics 87
  • Control and Systems Engineering 83
Replace Lin Gui with:
Lin Gui China
Chris Bregler United States
Hedi Tabia France
Umar Iqbal United States
Sang Min Yoon South Korea
Katerina Fragkiadaki United States
Xi Peng United States
Gyeongsik Moon South Korea
Minhua Zheng China
Enrico Grosso Italy
Bart Nabbe relative to Lin Gui China Lin Gui's profile →
Citations per field
00.5×
Lin Gui · 1×
Citations per year

Countries citing papers authored by Bart Nabbe

Since Specialization
Citations

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

Fields of papers citing papers by Bart Nabbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Bart Nabbe, 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 Bart Nabbe Line = papers co-authored together Bart Nabbe links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Panoptic Studio: A Massively Multiview System for Social Motion Capture
Hit paper breakdown →
2015306
2 2017219
3 200141
4 198532
5 200720
6 200716
7 200611
8 20057
9 20045
10 20074
11 19833
12 20033
13 20051
14 20180

About Bart Nabbe

Bart Nabbe is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, having authored 14 papers that have together received 668 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (4 papers), Optimization and Search Problems (3 papers), Robotic Path Planning Algorithms (3 papers), Human Pose and Action Recognition (2 papers), Auction Theory and Applications (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (532 citations), Human-Computer Interaction (96 citations), Computer Graphics and Computer-Aided Design (28 citations), Computational Mechanics (87 citations) and Control and Systems Engineering (83 citations). Bart Nabbe has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Iain Matthews, Hao Liu, Yaser Sheikh, Takeo Kanade, Lei Tan, Lin Gui, Shohei Nobuhara, Hanbyul Joo, Martial Hebert and Sean Banerjee. Their work appears in journals such as Ophthalmologica, The International Journal of Robotics Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, Neuro-Ophthalmology 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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