Bruno Loureiro
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition
- Nuclear and High Energy Physics
- Co-authors
- Lenka ZdeborováAntonio M. Garcı́a-Garcı́aFlorent KrząkałaRui RodriguesMasaki TezukaMarc MézardSebastian GoldtPedro Afonso
- Topics
- Statistical Methods and Inference (6 papers)Gaussian Processes and Bayesian Inference (6 papers)Sparse and Compressive Sensing Techniques (5 papers)
- Journals
- Physical Review LettersIEEE Transactions on Information TheoryJournal of High Energy Physics
- Partner nations
- SwitzerlandFranceUnited Kingdom
In The Last Decade
Bruno Loureiro
25 papers receiving 306 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 109
- Statistical and Nonlinear Physics 85
- Atomic and Molecular Physics, and Optics 82
- Computer Vision and Pattern Recognition 46
- Nuclear and High Energy Physics 41
Countries citing papers authored by Bruno Loureiro
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 42 | |
| 13 | 12 | |
| 14 | 82 | |
| 15 | Stability of chaos in a generalised Sachdev-Ye-Kitaev model | 2 |
| 16 | 7 | |
| 17 | 7 | |
| 18 | Design Guidelines and Design Recommendations of Multi-Touch Interfaces for Elders | 15 |
| 19 | 0 | |
| 20 | Multi-touch as a Natural User Interface for elders: A survey | 29 |
About Bruno Loureiro
Bruno Loureiro is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 27 papers that have together received 319 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (85 citations), Statistics and Probability (38 citations) and Human-Computer Interaction (21 citations). Bruno Loureiro has collaborated with scholars based in Switzerland, France and United Kingdom. Frequent co-authors include Lenka Zdeborová, Antonio M. Garcı́a-Garcı́a, Florent Krząkała, Rui Rodrigues, Masaki Tezuka, Marc Mézard, Sebastian Goldt, Pedro Afonso, Matt Waller and Ralf R. Müller. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory and Journal of High Energy Physics.
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.