Ghassen Jerfel

About

Ghassen Jerfel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Ghassen Jerfel has authored 5 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistics and Probability. Recurrent topics in Ghassen Jerfel’s work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Machine Learning in Healthcare (1 paper). Ghassen Jerfel is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper) and Machine Learning in Healthcare (1 paper). Ghassen Jerfel collaborates with scholars based in United States, Canada and United Kingdom. Ghassen Jerfel's co-authors include Dustin Tran, Katherine Heller, Michael W. Dusenberry, Linchuan Zhang, Jeremy Nixon, Yi-An Ma, Balaji Lakshminarayanan, Erin Grant, Jasper Snoek and Thomas L. Griffiths 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 Ghassen Jerfel i

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Fields of papers citing papers by Ghassen Jerfel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ghassen Jerfel

Since Specialization

Citations

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