Bruno Ribeiro
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
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- Complex Network Analysis Techniques 31
- Opinion Dynamics and Social Influence 9
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- Advanced Graph Neural Networks 13
- Co-authors
- Don Towsley (26 shared papers)Sanjay Rao (7 shared papers)Andrea Baronchelli (1 shared paper)Nicola Perra (1 shared paper)Jibin Zhan (4 shared papers)Hui Zhang (4 shared papers)Ramesh Govindan (1 shared paper)Ethan Katz-Bassett (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (6 papers)Data Mining and Knowledge Discovery (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)Scientific Reports (1 paper)IEEE Journal on Selected Areas in Communications (1 paper)
- Partner nations
- United StatesBrazilChina
In The Last Decade
Bruno Ribeiro
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 362
- Signal Processing 223
- Computer Networks and Communications 349
- Computer Vision and Pattern Recognition 300
- Artificial Intelligence 285
Countries citing papers authored by Bruno Ribeiro
This map shows the geographic impact of Bruno Ribeiro'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 Bruno Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Ribeiro more than expected).
Fields of papers citing papers by Bruno Ribeiro
This network shows the impact of papers produced by Bruno Ribeiro. 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 Bruno Ribeiro. The network helps show where Bruno Ribeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Bruno Ribeiro, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 228 | |
| 2 | 2013 | 79 | |
| 3 | 2014 | 57 | |
| 4 | 2012 | 55 | |
| 5 | 2006 | 44 | |
| 6 | 2014 | 43 | |
| 7 | 2020 | 38 | |
| 8 | Analyzing Privacy in Enterprise Packet Trace Anonymization. | 2008 | 29 |
| 9 | 2016 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2014 | 24 | |
| 12 | 2011 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2013 | 23 | |
| 15 | 2013 | 23 | |
| 16 | 2012 | 21 | |
| 17 | 2012 | 20 | |
| 18 | 2013 | 16 | |
| 19 | 2008 | 16 | |
| 20 | 2010 | 16 |
About Bruno Ribeiro
Bruno Ribeiro is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (31 papers), Advanced Graph Neural Networks (13 papers), Peer-to-Peer Network Technologies (11 papers), Opinion Dynamics and Social Influence (9 papers), Network Traffic and Congestion Control (7 papers), Network Security and Intrusion Detection (6 papers), Caching and Content Delivery (6 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (362 citations), Signal Processing (223 citations), Computer Networks and Communications (349 citations), Computer Vision and Pattern Recognition (300 citations) and Artificial Intelligence (285 citations). Bruno Ribeiro has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Don Towsley, Sanjay Rao, Andrea Baronchelli, Nicola Perra, Jibin Zhan, Hui Zhang, Ramesh Govindan, Ethan Katz-Bassett, Jessica Chen and Fabrício Murai. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, Scientific Reports and IEEE Journal on Selected Areas in Communications.
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.