Paul Micaelli

3 papers and 920 indexed citations i.

About

Paul Micaelli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Paul Micaelli has authored 3 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Paul Micaelli’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Paul Micaelli is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Paul Micaelli collaborates with scholars based in United Kingdom. Paul Micaelli's co-authors include Amos Storkey, Antreas Antoniou, Timothy M. Hospedales, Jan Kautz, Pavlo Molchanov and Arash Vahdat and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Paul Micaelli i

Fields of papers citing papers by Paul Micaelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paul Micaelli

Since Specialization
Citations

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