Irina Higgins

About

Irina Higgins is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Irina Higgins has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in Irina Higgins’s work include Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Memory and Neural Computing (3 papers). Irina Higgins is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Memory and Neural Computing (3 papers). Irina Higgins collaborates with scholars based in United Kingdom, United States and Canada. Irina Higgins's co-authors include Matthew Botvinick, Löıc Matthey, Alexander Lerchner, Christopher Burgess, Arka Pal, Xavier Glorot, Shakir Mohamed, Demis Hassabis, Christopher Summerfield and Doris Y. Tsao and has published in prestigious journals such as Nature Communications, PLoS ONE and Vision Research.

In The Last Decade

Co-authorship network of co-authors of Irina Higgins i

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Fields of papers citing papers by Irina Higgins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irina Higgins

Since Specialization

Citations

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