Razvan Pascanu

About

Razvan Pascanu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Razvan Pascanu has authored 43 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Razvan Pascanu’s work include Neural Networks and Applications (11 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Multimodal Machine Learning Applications (6 papers). Razvan Pascanu is often cited by papers focused on Neural Networks and Applications (11 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Multimodal Machine Learning Applications (6 papers). Razvan Pascanu collaborates with scholars based in United States, United Kingdom and Canada. Razvan Pascanu's co-authors include Yoshua Bengio, Raia Hadsell, Guillaume Desjardins, Andrei A. Rusu, Dharshan Kumaran, Agnieszka Grabska‐Barwińska, James Kirkpatrick, John Quan, Demis Hassabis and Neil C. Rabinowitz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Razvan Pascanu i

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Fields of papers citing papers by Razvan Pascanu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Razvan Pascanu

Since Specialization

Citations

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