Jad Abou-Chakra

401 citations
4 papers · 138 · 1 hit paper · h-index 4

Impact in

Papers in

Jad Abou-Chakra

4 papers receiving 133 citations

Jad Abou-Chakra's Hit Papers

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 2024 · 86 citations
860+1Years since publication255075

Peers

Jad Abou-Chakra
Comparison fields: 5 of 35
  • Computer Graphics and Computer-Aided Design 10
  • Computer Vision and Pattern Recognition 42
  • Control and Systems Engineering 30
  • Human-Computer Interaction 6
  • Aerospace Engineering 16
Replace Denys Makoviichuk with:
Denys Makoviichuk Pakistan
Zhiao Huang China
Krishan Rana Australia
Moo Jin Kim United States
Xiaqing Pan United States
Nikita Karaev United Kingdom
Eric Undersander United States
Kensen Shi United States
Todor Davchev United Kingdom
Martin Engelcke United Kingdom
Jad Abou-Chakra relative to Denys Makoviichuk Pakistan Denys Makoviichuk's profile →
Citations per field
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Denys Makoviichuk · 1×
Citations per year

Countries citing papers authored by Jad Abou-Chakra

Since Specialization
Citations

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

Fields of papers citing papers by Jad Abou-Chakra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jad Abou-Chakra. 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 Jad Abou-Chakra. The network helps show where Jad Abou-Chakra may publish in the future.

Co-authors

The 5 scholars most cited alongside Jad Abou-Chakra, 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 Jad Abou-Chakra Line = papers co-authored together Jad Abou-Chakra links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0
Hit paper breakdown →
202486
2 202338
3 20247
4 20247

About Jad Abou-Chakra

Jad Abou-Chakra is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Biophysics, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 4 papers that have together received 138 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (2 papers), Human Pose and Action Recognition (1 paper), Computer Graphics and Visualization Techniques (1 paper), Manufacturing Process and Optimization (1 paper), Soft Robotics and Applications (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (10 citations), Computer Vision and Pattern Recognition (42 citations), Control and Systems Engineering (30 citations), Human-Computer Interaction (6 citations) and Aerospace Engineering (16 citations). Jad Abou-Chakra has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Niko Sünderhauf, Dimity Miller, Robert Lee, Feras Dayoub and Peter Corke. Their work appears in journals such as elib (German Aerospace Center).

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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