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).
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-authorship network of co-authors of Bruno Ribeiro
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Ribeiro.
A scholar is included among the top collaborators of Bruno Ribeiro based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Bruno Ribeiro. Bruno Ribeiro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ahmed, Nesreen K., et al.. (2023). Causal lifting and link prediction. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2276).2 indexed citations
Neville, Jennifer, et al.. (2021). A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. International Conference on Machine Learning. 4040–4050.2 indexed citations
7.
Li, Jiacheng, Ninghui Li, & Bruno Ribeiro. (2020). Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap.. arXiv (Cornell University).11 indexed citations
8.
Srinivasan, Balasubramaniam & Bruno Ribeiro. (2019). On the Equivalence between Node Embeddings and Structural Graph Representations. arXiv (Cornell University).5 indexed citations
9.
Ribeiro, Bruno, et al.. (2019). HATS. 783–792.2 indexed citations
10.
Neglia, Giovanni, et al.. (2019). Feedforward Neural Networks for Caching. ACM SIGMETRICS Performance Evaluation Review. 46(3). 139–142.23 indexed citations
11.
Hassan, Mohamed S., Bruno Ribeiro, & Walid G. Aref. (2018). SBG-sketch. 1–12.6 indexed citations
Figueiredo, Flávio, Bruno Ribeiro, Christos Faloutsos, Nazareno Andrade, & Jussara M. Almeida. (2016). Mining Online Music Listening Trajectories.. International Symposium/Conference on Music Information Retrieval. 688–694.8 indexed citations
15.
Figueiredo, Flávio, Bruno Ribeiro, Jussara M. Almeida, & Christos Faloutsos. (2016). TribeFlow. 695–706.28 indexed citations
16.
Wang, Pinghui, John C. S. Lui, Junzhou Zhao, et al.. (2013). Efficiently Estimating Subgraph Statistics of Large Networks in the Dark.. arXiv (Cornell University).1 indexed citations
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.