Edwin Carlinet

595 citations
9 papers · 149 · h-index 5

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Image Retrieval and Classification Techniques
    • Digital Image Processing Techniques
    • Visual Attention and Saliency Detection
    • Remote-Sensing Image Classification

Papers in

Edwin Carlinet

9 papers receiving 147 citations

Peers

Edwin Carlinet
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 116
  • Media Technology 39
  • Computer Graphics and Computer-Aided Design 7
  • Computational Theory and Mathematics 13
  • Biophysics 4
Replace Yuanfeng Ji with:
Yuanfeng Ji China
Siddharth Manay United States
Durgesh Singh India
Christian Feddern Germany
Yukiko Kenmochi⋆ France
Clara Cruz-Ramos Mexico
Junghoon Seo South Korea
Jesύs Angulo France
Sitaram Bhagavathy United States
Ragav Venkatesan United States
Edwin Carlinet relative to Yuanfeng Ji China Yuanfeng Ji's profile →
Citations per field
00.5×5.2×
Yuanfeng Ji · 1×
Citations per year

Countries citing papers authored by Edwin Carlinet

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Carlinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Edwin Carlinet, 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 Edwin Carlinet Line = papers co-authored together Edwin Carlinet links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About Edwin Carlinet

Edwin Carlinet is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Media Technology and Environmental Engineering, having authored 9 papers that have together received 149 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), Remote-Sensing Image Classification (1 paper), Remote Sensing and LiDAR Applications (1 paper), Digital Image Processing Techniques (1 paper), 3D Surveying and Cultural Heritage (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Media Technology (39 citations), Computer Graphics and Computer-Aided Design (7 citations), Computational Theory and Mathematics (13 citations) and Biophysics (4 citations). Edwin Carlinet has collaborated with scholars based in France and Switzerland. Frequent co-authors include Thierry Géraud, Laurent Najman, Yongchao Xu, Jonathan Fabrizio, Yizi Chen, Joseph Chazalon, Clément Mallet, Julien Perret, Lionel Lacassagne and F. Lemaı̂tre. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Parallel and Distributed Systems, Pattern Recognition, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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