Bruno Ribeiro

2.6k citations
81 papers · 1.3k · h-index 19

Impact in

Papers in

Bruno Ribeiro

78 papers receiving 1.2k citations

Peers

Bruno Ribeiro
Comparison fields: 5 of 97
  • Statistical and Nonlinear Physics 474
  • Signal Processing 255
  • Computer Networks and Communications 433
  • Computer Vision and Pattern Recognition 331
  • Transportation 72
Replace Flavio Chierichetti with:
Flavio Chierichetti Italy
Francesco Gullo Italy
Sibo Wang China
Silvio Lattanzi United States
Andrej Krevl Slovenia
Minas Gjoka United States
Artur Ziviani Brazil
Kyomin Jung South Korea
Jared Saia United States
Nina Mishra United States
Bruno Ribeiro relative to Flavio Chierichetti Italy Flavio Chierichetti's profile →
Citations per field
00.5×1.5×2.1×
Flavio Chierichetti · 1×
Citations per year

Countries citing papers authored by Bruno Ribeiro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bruno Ribeiro Line = papers co-authored together Bruno Ribeiro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018241
2 2013101
3 201071
4 201463
5 201260
6 201450
7 200646
8 202038
9 201632
10
Analyzing Privacy in Enterprise Packet Trace Anonymization.
200831
11 200531
12 202029
13 201428
14 201127
15 201326
16 201923
17 201223
18 201323
19 201221
20 201317

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 Sociology and Political Science, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (34 papers), Advanced Graph Neural Networks (13 papers), Peer-to-Peer Network Technologies (12 papers), Opinion Dynamics and Social Influence (10 papers), Network Security and Intrusion Detection (8 papers), Network Traffic and Congestion Control (8 papers), Image and Video Quality Assessment (6 papers) and Caching and Content Delivery (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (474 citations), Signal Processing (255 citations), Computer Networks and Communications (433 citations), Computer Vision and Pattern Recognition (331 citations) and Transportation (72 citations). Bruno Ribeiro has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Don Towsley, Andrea Baronchelli, Nicola Perra, Sanjay Rao, Hui Zhang, Jibin Zhan, Ramesh Govindan, Ethan Katz-Bassett, Jessica Chen and Zahaib Akhtar. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, ACM Transactions on Knowledge Discovery from Data, Data Mining and Knowledge Discovery, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Network Science and Engineering.

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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