Elnaz Barshan

About

Elnaz Barshan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Elnaz Barshan has authored 6 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Elnaz Barshan’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Neural Networks and Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Elnaz Barshan is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Neural Networks and Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Elnaz Barshan collaborates with scholars based in Canada, United States and Iran. Elnaz Barshan's co-authors include Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi, Paul Fieguth, Gintare Karolina Dziugaite, Michael E. Goebel, Xiyang Luo, Feng Yang and Christian Scharfenberger and has published in prestigious journals such as Pattern Recognition, Neural Information Processing Systems and International Conference on Artificial Intelligence and Statistics.

In The Last Decade

Co-authorship network of co-authors of Elnaz Barshan i

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Fields of papers citing papers by Elnaz Barshan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elnaz Barshan

Since Specialization

Citations

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