Austin Stone

528 citations
3 papers · 184 · 1 hit paper · h-index 2

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Robotic Path Planning Algorithms
    • Domain Adaptation and Few-Shot Learning
    • Natural Language Processing Techniques
    • Topic Modeling

Papers in

Austin Stone

2 papers receiving 176 citations

Austin Stone's Hit Papers

Simple Open-Vocabulary Object Detection 2022 · 167 citations
1670+1+2Years since publication50100150

Peers

Austin Stone
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 122
  • Artificial Intelligence 72
  • Control and Systems Engineering 21
  • Industrial and Manufacturing Engineering 6
  • Aerospace Engineering 14
Replace Arjun Karpur with:
Arjun Karpur United States
Hangjie Yuan China
Joya Chen China
Suneel Belkhale United States
Yuren Cong Germany
Fangting Xia United States
Harkirat Singh Behl United Kingdom
Thayne T. Walker United States
Murtaza Dalal United States
Ziang Xie United States
Austin Stone relative to Arjun Karpur United States Arjun Karpur's profile →
Citations per field
00.5×1.5×1.9×
Arjun Karpur · 1×
Citations per year

Countries citing papers authored by Austin Stone

Since Specialization
Citations

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

Fields of papers citing papers by Austin Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Austin Stone, 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 Austin Stone Line = papers co-authored together Austin Stone links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Austin Stone

Austin Stone is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 3 papers that have together received 184 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Artificial Intelligence (72 citations), Control and Systems Engineering (21 citations), Industrial and Manufacturing Engineering (6 citations) and Aerospace Engineering (14 citations). Austin Stone has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Maxim Neumann, Alexey Dosovitskiy, Thomas Kipf, Neil Houlsby, Zhuoran Shen, Alexey A. Gritsenko, Dirk Weissenborn, Anurag Arnab, Matthias Minderer and Xiaohua Zhai. Their work appears in journals such as Journal of Agricultural and Food Chemistry and Lecture notes in computer science.

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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