Patrick Poirson

1.3k citations
3 papers · 130 · h-index 3

Impact in

    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Advanced Vision and Imaging
    • Video Surveillance and Tracking Methods
    • Robotics and Sensor-Based Localization

Papers in

Patrick Poirson

3 papers receiving 128 citations

Peers

Patrick Poirson
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 100
  • Aerospace Engineering 44
  • Artificial Intelligence 48
  • Geology 4
  • Signal Processing 7
Replace Yash Bhalgat with:
Yash Bhalgat United Kingdom
Y. Ono Japan
Vincent Cartillier United States
Ruojin Cai United States
Hasan Sarıbaş Türkiye
Sébastien Ehrhardt United Kingdom
Ismail Elezi United Kingdom
Kuan Liu China
Thayne T. Walker United States
Johan Edstedt Sweden
Patrick Poirson relative to Yash Bhalgat United Kingdom Yash Bhalgat's profile →
Citations per field
00.5×6.5×
Yash Bhalgat · 1×
Citations per year

Countries citing papers authored by Patrick Poirson

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Poirson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Patrick Poirson, 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 Patrick Poirson Line = papers co-authored together Patrick Poirson links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Patrick Poirson

Patrick Poirson is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Artificial Intelligence and Aerospace Engineering, having authored 3 papers that have together received 130 indexed citations. Recurring topics across this work include Caching and Content Delivery (1 paper), Advanced Graph Neural Networks (1 paper), Advanced Vision and Imaging (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Recommender Systems and Techniques (1 paper), Advanced Neural Network Applications (1 paper), Visual Attention and Saliency Detection (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Aerospace Engineering (44 citations), Artificial Intelligence (48 citations), Geology (4 citations) and Signal Processing (7 citations). Patrick Poirson has collaborated with scholars based in United States. Frequent co-authors include Alexander C. Berg, Jana Košecká, Eunbyung Park, Abhinav Shrivastava, Hanyu Wang, Pengxiang Wu, Chen Wang and Chen Wang. Their work appears in journals such as arXiv (Cornell University).

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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