Issam Laradji

25 papers and 582 indexed citations i.

About

Issam Laradji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Issam Laradji has authored 25 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Issam Laradji’s work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Issam Laradji is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (4 papers). Issam Laradji collaborates with scholars based in Canada, Australia and United States. Issam Laradji's co-authors include Lahouari Ghouti, Mohammad Alshayeb, David Vázquez, Pau Rodríguez, Alzayat Saleh, Mark Schmidt, Derek Nowrouzezahrai, Dmitry A. Konovalov, Michael Bradley and Marcus Sheaves and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Issam Laradji i

Fields of papers citing papers by Issam Laradji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Issam Laradji

Since Specialization
Citations

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