Salah Rifai

About

Salah Rifai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Salah Rifai has authored 7 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Salah Rifai’s work include Neural Networks and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Model Reduction and Neural Networks (4 papers). Salah Rifai is often cited by papers focused on Neural Networks and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Model Reduction and Neural Networks (4 papers). Salah Rifai collaborates with scholars based in Canada and United States. Salah Rifai's co-authors include Yoshua Bengio, Pascal Vincent, Xavier Muller, Xavier Glorot, Yann Dauphin, Ian Goodfellow, Guillaume Desjardins, Grégoire Mesnil, David Warde-Farley and Aaron Courville and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Salah Rifai i

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Fields of papers citing papers by Salah Rifai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salah Rifai

Since Specialization

Citations

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