Joan Bruna

44 papers and 3.3k indexed citations i.

About

Joan Bruna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Joan Bruna has authored 44 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Joan Bruna’s work include Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (7 papers) and Topological and Geometric Data Analysis (6 papers). Joan Bruna is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (7 papers) and Topological and Geometric Data Analysis (6 papers). Joan Bruna collaborates with scholars based in United States, France and Switzerland. Joan Bruna's co-authors include Stéphane Mallat, Yann LeCun, Arthur Szlam, Michael M. Bronstein, Pierre Vandergheynst, Alejandro Ribeiro, Fernando Gama, Denis Zorin, Francis Williams and Daniele Panozzo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Monthly Notices of the Royal Astronomical Society and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Joan Bruna i

Fields of papers citing papers by Joan Bruna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joan Bruna

Since Specialization
Citations

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