Samira Shabanian

10 papers and 24 indexed citations i.

About

Samira Shabanian is a scholar working on Artificial Intelligence, Geometry and Topology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Samira Shabanian has authored 10 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Geometry and Topology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Samira Shabanian’s work include Fixed Point Theorems Analysis (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Samira Shabanian is often cited by papers focused on Fixed Point Theorems Analysis (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Samira Shabanian collaborates with scholars based in Iran, Canada and United Kingdom. Samira Shabanian's co-authors include S. M. Vaezpour, Jörg Bornschein, Asja Fischer, Sarath Chandar, Asia J. Biega, Fernando Díaz, Ioana Baldini, Yoshua Bengio, Hamid Palangi and Michèle Finck and has published in prestigious journals such as Fixed Point Theory and Applications, Discrete Dynamics in Nature and Society and Mediterranean Journal of Mathematics.

In The Last Decade

Co-authorship network of co-authors of Samira Shabanian i

Fields of papers citing papers by Samira Shabanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samira Shabanian

Since Specialization
Citations

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