Bryan Perozzi
Impact in
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- Complex Network Analysis Techniques
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Complex Network Analysis Techniques 16
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- Advanced Graph Neural Networks 22
- Topic Modeling 11
- Natural Language Processing Techniques 6
- Advanced Clustering Algorithms Research 3
- Co-authors
- Steven Skiena (11 shared papers)Vivek V. Kulkarni (5 shared papers)Rami Al‐Rfou (4 shared papers)Haochen Chen (4 shared papers)Leman Akoglu (4 shared papers)Yifan Hu (1 shared paper)Emmanuel Müller (1 shared paper)Patricia Iglesias Sánchez (1 shared paper)
- Journals
- Information Systems (1 paper)Social Network Analysis and Mining (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Lecture notes in computer science (2 papers)Studies in computational intelligence (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Bryan Perozzi
33 papers receiving 1.4k citations
Bryan Perozzi's Hit Papers
Peers
Comparison fields: 5 of 94
- Statistical and Nonlinear Physics 541
- Artificial Intelligence 1.2k
- Cultural Studies 110
- Computer Vision and Pattern Recognition 230
- Information Systems 228
Countries citing papers authored by Bryan Perozzi
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).
Fields of papers citing papers by Bryan Perozzi
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.
Co-authors
The 25 scholars most cited alongside Bryan Perozzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scaling Graph Neural Networks with Approximate PageRank Hit paper breakdown → | 2020 | 268 |
| 2 | Statistically Significant Detection of Linguistic Change Hit paper breakdown → | 2015 | 267 |
| 3 | 2018 | 219 | |
| 4 | 2014 | 179 | |
| 5 | 2017 | 118 | |
| 6 | 2015 | 89 | |
| 7 | 2019 | 72 | |
| 8 | 2019 | 45 | |
| 9 | 2020 | 25 | |
| 10 | 2018 | 24 | |
| 11 | 2015 | 20 | |
| 12 | 2022 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2016 | 7 |
About Bryan Perozzi
Bryan Perozzi is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Transportation, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (22 papers), Complex Network Analysis Techniques (16 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers), Graph Theory and Algorithms (6 papers), Recommender Systems and Techniques (3 papers), Advanced Clustering Algorithms Research (3 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (541 citations), Artificial Intelligence (1.2k citations), Cultural Studies (110 citations), Computer Vision and Pattern Recognition (230 citations) and Information Systems (228 citations). Bryan Perozzi has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Steven Skiena, Vivek V. Kulkarni, Rami Al‐Rfou, Haochen Chen, Leman Akoglu, Yifan Hu, Emmanuel Müller, Patricia Iglesias Sánchez, Alessandro Epasto and Martin Blais. Their work appears in journals such as Information Systems, Social Network Analysis and Mining, ACM Transactions on Knowledge Discovery from Data, Lecture notes in computer science and Studies in computational intelligence.
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.