Mahsa Shakeri

16 papers and 338 indexed citations i.

About

Mahsa Shakeri is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Mahsa Shakeri has authored 16 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Biomedical Engineering and 3 papers in Cancer Research. Recurrent topics in Mahsa Shakeri’s work include Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers) and Medical Imaging and Analysis (2 papers). Mahsa Shakeri is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers) and Medical Imaging and Analysis (2 papers). Mahsa Shakeri collaborates with scholars based in Canada, Iran and Spain. Mahsa Shakeri's co-authors include Samuel Kadoury, Yoshua Bengio, An Tang, Adriana Romero, Gabriel Chartrand, Chris Pal, Lisa Di Jorio, Michal Drozdzal, Eugene Vorontsov and Sarah Lippé and has published in prestigious journals such as Cellular Signalling, Medical Image Analysis and Epilepsy Research.

In The Last Decade

Co-authorship network of co-authors of Mahsa Shakeri i

Fields of papers citing papers by Mahsa Shakeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahsa Shakeri

Since Specialization
Citations

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