Bruno Loureiro

723 total citations
27 papers, 319 citations indexed

About

Bruno Loureiro is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bruno Loureiro has authored 27 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bruno Loureiro's work include Statistical Methods and Inference (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Bruno Loureiro is often cited by papers focused on Statistical Methods and Inference (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Bruno Loureiro collaborates with scholars based in Switzerland, France and United Kingdom. Bruno Loureiro's co-authors include Antonio M. Garcı́a-Garcı́a, Lenka Zdeborová, Florent Krząkała, Rui Rodrigues, Masaki Tezuka, Marc Mézard, Sebastian Goldt, Gabriele Sicuro, Nicolas E. Humphries and Ralf R. Müller and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Information Theory and Journal of High Energy Physics.

In The Last Decade

Bruno Loureiro

25 papers receiving 306 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno Loureiro Switzerland 10 109 85 82 46 41 27 319
D. Gruen United States 15 37 0.3× 20 0.2× 73 0.9× 42 0.9× 54 1.3× 30 636
Sébastien Racanière United States 11 154 1.4× 69 0.8× 50 0.6× 38 0.8× 120 2.9× 23 427
Giuseppe Genovese Switzerland 10 106 1.0× 111 1.3× 40 0.5× 62 1.3× 21 0.5× 21 269
David Hasler Germany 10 32 0.3× 76 0.9× 110 1.3× 392 8.5× 15 0.4× 29 668
See Kit Foong Singapore 10 88 0.8× 114 1.3× 157 1.9× 5 0.1× 25 0.6× 39 438
Sebastian J. Wetzel Canada 7 117 1.1× 97 1.1× 209 2.5× 30 0.7× 43 1.0× 9 495
Giampaolo Cristadoro Italy 11 119 1.1× 170 2.0× 30 0.4× 21 0.5× 14 0.3× 29 423
Carlo Lucibello Italy 12 175 1.6× 76 0.9× 34 0.4× 41 0.9× 3 0.1× 29 353
Max Karoubi France 16 24 0.2× 82 1.0× 65 0.8× 11 0.2× 65 1.6× 55 1.2k
Song Cheng China 9 265 2.4× 75 0.9× 282 3.4× 29 0.6× 10 0.2× 26 468

Countries citing papers authored by Bruno Loureiro

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Loureiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Loureiro

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Loureiro. A scholar is included among the top collaborators of Bruno Loureiro 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 Loureiro. Bruno Loureiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Costa, Ivo da, David Sims, Bruno Loureiro, et al.. (2024). Measuring deoxygenation effects on marine predators: A new animal‐attached archival tag recording in situ dissolved oxygen, temperature, fine‐scale movements and behaviour. Methods in Ecology and Evolution. 15(8). 1360–1379. 4 indexed citations
2.
Schröder, Dominik, et al.. (2024). Deterministic equivalent and error universality of deep random features learning*. Journal of Statistical Mechanics Theory and Experiment. 2024(10). 104017–104017. 1 indexed citations
3.
Loureiro, Bruno, et al.. (2024). High-dimensional robust regression under heavy-tailed data: asymptotics and universality. Journal of Statistical Mechanics Theory and Experiment. 2024(11). 114002–114002. 4 indexed citations
4.
Krząkała, Florent, et al.. (2024). Universality laws for Gaussian mixtures in generalized linear models*. Journal of Statistical Mechanics Theory and Experiment. 2024(10). 104015–104015. 4 indexed citations
5.
Krząkała, Florent, et al.. (2024). Gaussian universality of perceptrons with random labels. Physical review. E. 109(3). 34305–34305. 9 indexed citations
6.
Waller, Matt, Nuno Queiroz, Ivo da Costa, et al.. (2023). Direct measurement of cruising and burst swimming speeds of the shortfin mako shark (Isurus oxyrinchus) with estimates of field metabolic rate. Journal of Fish Biology. 103(5). 864–883. 13 indexed citations
7.
Loureiro, Bruno, et al.. (2023). Learning curves for the multi-class teacher–student perceptron. Machine Learning Science and Technology. 4(1). 15019–15019. 9 indexed citations
8.
Loureiro, Bruno, et al.. (2023). Error scaling laws for kernel classification under source and capacity conditions. Machine Learning Science and Technology. 4(3). 35033–35033. 3 indexed citations
9.
Loureiro, Bruno, et al.. (2023). Fluctuations, bias, variance and ensemble of learners: exact asymptotics for convex losses in high-dimension *. Journal of Statistical Mechanics Theory and Experiment. 2023(11). 114001–114001.
10.
Loureiro, Bruno, et al.. (2023). Theoretical characterization of uncertainty in high-dimensional linear classification. Machine Learning Science and Technology. 4(2). 25029–25029. 6 indexed citations
11.
Loureiro, Bruno, et al.. (2023). Phase diagram of stochastic gradient descent in high-dimensional two-layer neural networks *. Journal of Statistical Mechanics Theory and Experiment. 2023(11). 114008–114008. 2 indexed citations
12.
Loureiro, Bruno, et al.. (2023). Bayesian Inference With Nonlinear Generative Models: Comments on Secure Learning. IEEE Transactions on Information Theory. 69(12). 7998–8028. 2 indexed citations
13.
Loureiro, Bruno, et al.. (2022). Learning curves of generic features maps for realistic datasets with a teacher-student model*. Journal of Statistical Mechanics Theory and Experiment. 2022(11). 114001–114001. 35 indexed citations
14.
Loureiro, Bruno, et al.. (2021). Generalisation error in learning with random features and the hidden manifold model*. Journal of Statistical Mechanics Theory and Experiment. 2021(12). 124013–124013. 42 indexed citations
15.
Andrade, Tomás, Antonio M. Garcı́a-Garcı́a, & Bruno Loureiro. (2018). Coherence effects in disordered geometries with a field-theory dual. Journal of High Energy Physics. 2018(3). 1 indexed citations
16.
Garcı́a-Garcı́a, Antonio M., et al.. (2018). Chaotic-Integrable Transition in the Sachdev-Ye-Kitaev Model. Physical Review Letters. 120(24). 82 indexed citations
17.
Garcı́a-Garcı́a, Antonio M., et al.. (2017). Stability of chaos in a generalised Sachdev-Ye-Kitaev model. arXiv (Cornell University). 2 indexed citations
18.
Garcı́a-Garcı́a, Antonio M. & Bruno Loureiro. (2016). Marginal and irrelevant disorder in Einstein-Maxwell backgrounds. Physical review. D. 93(6). 7 indexed citations
19.
Loureiro, Bruno & Rui Rodrigues. (2014). Design Guidelines and Design Recommendations of Multi-Touch Interfaces for Elders. Advances in Computer-Human Interaction. 41–47. 15 indexed citations
20.
Loureiro, Bruno & Rui Rodrigues. (2011). Multi-touch as a Natural User Interface for elders: A survey. Iberian Conference on Information Systems and Technologies. 1–6. 29 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.

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