Amin Ghiasi

About

Amin Ghiasi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Amin Ghiasi has authored 4 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Amin Ghiasi’s work include Adversarial Robustness in Machine Learning (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Advanced Neural Network Applications (1 paper). Amin Ghiasi is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Advanced Neural Network Applications (1 paper). Amin Ghiasi collaborates with scholars based in United States and Germany. Amin Ghiasi's co-authors include Tom Goldstein, Micah Goldblum, Valeriia Cherepanova, Arjun K. Gupta, Liam Fowl, Jonas Geiping, Ali Shafahi, Christoph Studer, David Jacobs and Chen Zhu and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and British Machine Vision Conference.

In The Last Decade

Co-authorship network of co-authors of Amin Ghiasi i

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Fields of papers citing papers by Amin Ghiasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amin Ghiasi

Since Specialization

Citations

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