Bryan Perozzi

19 papers and 635 indexed citations i.

About

Bryan Perozzi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bryan Perozzi has authored 19 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bryan Perozzi’s work include Advanced Graph Neural Networks (16 papers), Complex Network Analysis Techniques (9 papers) and Topic Modeling (6 papers). Bryan Perozzi is often cited by papers focused on Advanced Graph Neural Networks (16 papers), Complex Network Analysis Techniques (9 papers) and Topic Modeling (6 papers). Bryan Perozzi collaborates with scholars based in United States and United Kingdom. Bryan Perozzi's co-authors include Steven Skiena, Rami Al‐Rfou, Vivek Kulkarni, Haochen Chen, Yifan Hu, Leman Akoglu, Sami Abu-El-Haija, Amol Kapoor, Alexander A. Alemi and Joonseok Lee and has published in prestigious journals such as Information Systems, ACM Transactions on Knowledge Discovery from Data and Social Network Analysis and Mining.

In The Last Decade

Co-authorship network of co-authors of Bryan Perozzi i

Fields of papers citing papers by Bryan Perozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bryan Perozzi

Since Specialization
Citations

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