Bernardino Romera‐Paredes
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Co-authors
- Nadia Bianchi‐BerthouzeMassimiliano PontilMin Hane AungAlexander NovikovMohammadamin BarekatainFrancisco J. R. RuizMatej BalogAlhussein Fawzi
- Topics
- Sparse and Compressive Sensing Techniques (4 papers)Emotion and Mood Recognition (4 papers)Domain Adaptation and Few-Shot Learning (3 papers)
- Cited by
- Computational MathematicsExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Bernardino Romera‐Paredes
18 papers receiving 972 citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 326
- Computer Vision and Pattern Recognition 241
- Experimental and Cognitive Psychology 192
- Radiology, Nuclear Medicine and Imaging 106
- Cognitive Neuroscience 87
Countries citing papers authored by Bernardino Romera‐Paredes
This map shows the geographic impact of Bernardino Romera‐Paredes'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 Bernardino Romera‐Paredes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernardino Romera‐Paredes more than expected).
Fields of papers citing papers by Bernardino Romera‐Paredes
This network shows the impact of papers produced by Bernardino Romera‐Paredes. 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 Bernardino Romera‐Paredes. The network helps show where Bernardino Romera‐Paredes may publish in the future.
Co-authorship network of co-authors of Bernardino Romera‐Paredes
This figure shows the co-authorship network connecting the top 25 collaborators of Bernardino Romera‐Paredes. A scholar is included among the top collaborators of Bernardino Romera‐Paredes 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 Bernardino Romera‐Paredes. Bernardino Romera‐Paredes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Mathematical discoveries from program search with large language modelsbreakdown → | 124 |
| 3 | Discovering faster matrix multiplication algorithms with reinforcement learningbreakdown → | 244 |
| 4 | 99 | |
| 5 | 81 | |
| 6 | 144 | |
| 7 | 25 | |
| 8 | 37 | |
| 9 | An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning | 2 |
| 10 | 2 | |
| 11 | A One-Vs-One classifier ensemble with majority voting for activity recognition | 24 |
| 12 | Multilinear Multitask Learning | 72 |
| 13 | 29 | |
| 14 | 24 | |
| 15 | 14 | |
| 16 | Identifying Pain Behaviour for Automatic Recognition. | 3 |
| 17 | Exploiting Unrelated Tasks in Multi-Task Learning | 61 |
| 18 | 29 |
About Bernardino Romera‐Paredes
Bernardino Romera‐Paredes is a scholar working on Computational Mathematics, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Emotion and Mood Recognition (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computational Mathematics (57 citations), Experimental and Cognitive Psychology (192 citations) and Computer Vision and Pattern Recognition (241 citations). Bernardino Romera‐Paredes has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Nadia Bianchi‐Berthouze, Massimiliano Pontil, Min Hane Aung, Alexander Novikov, Mohammadamin Barekatain, Francisco J. R. Ruiz, Matej Balog, Alhussein Fawzi, Pushmeet Kohli and Thomas Hubert. Their work appears in journals such as Nature, IEEE Signal Processing Magazine and Radiotherapy and Oncology.
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.