Irena Gao

About

Irena Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Irena Gao has authored 3 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Irena Gao’s work include Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Evolutionary Game Theory and Cooperation (1 paper). Irena Gao is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Evolutionary Game Theory and Cooperation (1 paper). Irena Gao collaborates with scholars based in United States and United Kingdom. Irena Gao's co-authors include Mona A. Gandhi, Ranjay Krishna, Mark E. Whiting, Michael S. Bernstein, Marco Túlio Ribeiro, Scott Lundberg and Gabriel Ilharco and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Irena Gao i

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Fields of papers citing papers by Irena Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irena Gao

Since Specialization

Citations

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