Janick Cardinale

1.1k citations
5 papers · 115 indexed · h-index 4
Topics
Medical Image Segmentation Techniques (3 papers)Image Retrieval and Classification Techniques (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)
Journals
IEEE Transactions on Image ProcessingInternational Journal of Computer VisionZurich Open Repository and Archive (University of Zurich)
Partner nations
SwitzerlandGermany

In The Last Decade

Janick Cardinale

5 papers receiving 114 citations

Peers

Janick Cardinale
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 54
  • Biophysics 54
  • Molecular Biology 29
  • Media Technology 25
  • Artificial Intelligence 17
Replace Tim Scherr with:
Tim Scherr Germany
Katharina Löffler Germany
Nabeel Khalid Germany
Dmitry V. Sorokin Russia
Christoffer Edlund Sweden
Fabian Tschopp United States
Miroslav Radojević Netherlands
Andaç Hamamcı Türkiye
Petr Walczysko Germany
Morgan Schwartz United States
Janick Cardinale relative to Tim Scherr Germany Tim Scherr's profile →
Citations per field
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Citations per year

Countries citing papers authored by Janick Cardinale

Since Specialization
Citations

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

Fields of papers citing papers by Janick Cardinale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janick Cardinale

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

All Works

About Janick Cardinale

Janick Cardinale is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Media Technology, having authored 5 papers that have together received 115 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Biophysics (54 citations), Media Technology (25 citations) and Computer Vision and Pattern Recognition (54 citations). Janick Cardinale has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Ivo F. Sbalzarini, Grégory Paul, Alexander Rauch, Yves Barral and Gábor Székely. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and Zurich Open Repository and Archive (University of Zurich).

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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