Arthur Bucker

603 citations
3 papers · 252 indexed · 1 hit paper · h-index 3
Topics
Multimodal Machine Learning Applications (3 papers)Topic Modeling (2 papers)Human Pose and Action Recognition (1 paper)
Journals
IEEE Access2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

In The Last Decade

Arthur Bucker

3 papers receiving 245 citations

Hit Papers

ChatGPT for Robotics: Design Principles and Model Abilities202420262025202450100150

Peers

Arthur Bucker
Comparison fields: 5 of 52
  • Artificial Intelligence 133
  • Computer Vision and Pattern Recognition 96
  • Control and Systems Engineering 76
  • Biomedical Engineering 15
  • Aerospace Engineering 15
Replace Rogerio Bonatti with:
Rogerio Bonatti United States
Rika Antonova United States
Jiafei Duan United States
Tingwu Wang Canada
Samson Yu Singapore
Toki Migimatsu United States
Dorothea Koert Germany
Ishika Singh United States
Simon Stepputtis United States
Deirdre Quillen United States
Arthur Bucker relative to Rogerio Bonatti United States Rogerio Bonatti's profile →
Citations per field
00.5×1.5×
Rogerio Bonatti · 1×
Citations per year

Countries citing papers authored by Arthur Bucker

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Bucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Bucker

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Bucker. A scholar is included among the top collaborators of Arthur Bucker 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 Arthur Bucker. Arthur Bucker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
ChatGPT for Robotics: Design Principles and Model Abilitiesbreakdown →
198
2 26
3 28

About Arthur Bucker

Arthur Bucker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 3 papers that have together received 252 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Topic Modeling (2 papers) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Health Informatics (7 citations), Computer Vision and Pattern Recognition (96 citations) and Artificial Intelligence (133 citations). Arthur Bucker has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Rogerio Bonatti, Sai Vemprala, Ashish Kapoor, Luis Figueredo, Shuang Ma, Ashish Kapoor and Sami Haddadin. Their work appears in journals such as IEEE Access and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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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