Hanie Sedghi

About

Hanie Sedghi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hanie Sedghi has authored 12 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hanie Sedghi’s work include Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Tensor decomposition and applications (2 papers). Hanie Sedghi is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Tensor decomposition and applications (2 papers). Hanie Sedghi collaborates with scholars based in United States. Hanie Sedghi's co-authors include Edmond Jonckheere, Philip M. Long, Vineet Gupta, Anima Anandkumar, Behnam Neyshabur, Ashish Sabharwal, Majid Janzamin, Chiyuan Zhang and Niladri S. Chatterji and has published in prestigious journals such as IEEE Transactions on Smart Grid, Neural Computation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Hanie Sedghi i

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Fields of papers citing papers by Hanie Sedghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanie Sedghi

Since Specialization

Citations

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