Martin Vallières

44 papers and 3.0k indexed citations i.

About

Martin Vallières is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Martin Vallières has authored 44 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 13 papers in Artificial Intelligence. Recurrent topics in Martin Vallières’s work include Radiomics and Machine Learning in Medical Imaging (38 papers), AI in cancer detection (13 papers) and Sarcoma Diagnosis and Treatment (9 papers). Martin Vallières is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (38 papers), AI in cancer detection (13 papers) and Sarcoma Diagnosis and Treatment (9 papers). Martin Vallières collaborates with scholars based in Canada, United States and France. Martin Vallières's co-authors include Issam El Naqa, Carolyn Freeman, Sonia Skamene, Jan Seuntjens, Olivier Morin, Mathieu Hatt, Dimitris Visvikis, Olivier Pradier, Avishek Chatterjee and Lise Wei and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Radiology.

In The Last Decade

Co-authorship network of co-authors of Martin Vallières i

Fields of papers citing papers by Martin Vallières

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Vallières

Since Specialization
Citations

This map shows the geographic impact of Martin Vallières'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 Martin Vallières with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Vallières 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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2025