Leo Grady

57 papers and 3.0k indexed citations i.

About

Leo Grady is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Leo Grady has authored 57 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 26 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Leo Grady’s work include Medical Image Segmentation Techniques (23 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Medical Imaging Techniques and Applications (9 papers). Leo Grady is often cited by papers focused on Medical Image Segmentation Techniques (23 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Medical Imaging Techniques and Applications (9 papers). Leo Grady collaborates with scholars based in United States, France and Canada. Leo Grady's co-authors include Jon̈athan R. Polimeni, Eli Schwartz, Hugues Talbot, Laurent Najman, Camille Couprie, Hervé Lombaert, Farida Chériet, Charles A. Taylor, Marie‐Pierre Jolly and Sethuraman Sankaran and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Leo Grady i

Fields of papers citing papers by Leo Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leo Grady

Since Specialization
Citations

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

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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