Bart Nabbe

1.2k citations
14 papers · 743 · 1 hit paper · h-index 8

Impact in

Papers in

Bart Nabbe

13 papers receiving 698 citations

Bart Nabbe's Hit Papers

Panoptic Studio: A Massively Multiview System for Social Motion Capture 2015 · 363 citations
3630+3+7Years since publication100200300

Peers

Bart Nabbe
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 613
  • Human-Computer Interaction 113
  • Computer Graphics and Computer-Aided Design 32
  • Computational Mechanics 100
  • Control and Systems Engineering 102
Replace Lin Gui with:
Lin Gui China
Roberto Henschel Germany
Yu‐Hui Wen China
Nikolaos Sarafianos United States
Grégory Rogez Spain
Yujin Chen China
Gyeongsik Moon South Korea
Sang Min Yoon South Korea
Ke Gong China
Bart Nabbe relative to Lin Gui China Lin Gui's profile →
Citations per field
00.5×1.5×2.3×
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 →
2015363
2 2017241
3 200149
4 200723
5 200719
6 200612
7 20108
8 20057
9 20045
10 20075
11 20034
12 20054
13 19833
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 743 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (4 papers), Robotic Path Planning Algorithms (3 papers), Optimization and Search Problems (3 papers), Human Motion and Animation (2 papers), Human Pose and Action Recognition (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Auction Theory and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (613 citations), Human-Computer Interaction (113 citations), Computer Graphics and Computer-Aided Design (32 citations), Computational Mechanics (100 citations) and Control and Systems Engineering (102 citations). Bart Nabbe has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Iain Matthews, Shohei Nobuhara, Lin Gui, Yaser Sheikh, Hanbyul Joo, Lei Tan, Takeo Kanade, Hao Liu, Martial Hebert and Sean Banerjee. Their work appears in journals such as The International Journal of Robotics Research, Ophthalmologica, 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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