Bernardino Romera‐Paredes

58.2k total citations · 2 hit papers
18 papers, 1.0k citations indexed

About

Bernardino Romera‐Paredes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Bernardino Romera‐Paredes has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Mechanics. Recurrent topics in Bernardino Romera‐Paredes's work include Sparse and Compressive Sensing Techniques (4 papers), Emotion and Mood Recognition (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Bernardino Romera‐Paredes is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Emotion and Mood Recognition (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Bernardino Romera‐Paredes collaborates with scholars based in United Kingdom, United States and France. Bernardino Romera‐Paredes's co-authors include Nadia Bianchi‐Berthouze, Massimiliano Pontil, Min Hane Aung, Alhussein Fawzi, Matej Balog, Pushmeet Kohli, Francisco J. R. Ruiz, Alexander Novikov, Mohammadamin Barekatain and Julian Schrittwieser and has published in prestigious journals such as Nature, IEEE Signal Processing Magazine and Radiotherapy and Oncology.

In The Last Decade

Bernardino Romera‐Paredes

18 papers receiving 972 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discovering faster matrix multiplication algorithms with reinforcement learning

2022 244 citations Alhussein Fawzi, Matej Balog et al. Nature profile →
Mathematical discoveries from program search with large language models

2023 124 citations Bernardino Romera‐Paredes, Mohammadamin Barekatain et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bernardino Romera‐Paredes United Kingdom	14	326	241	192	106	87	18	1.0k
Jihun Hamm United States	15	290 0.9×	616 2.6×	146 0.8×	70 0.7×	97 1.1×	36	1.1k
Youngjune Gwon United States	13	304 0.9×	381 1.6×	184 1.0×	46 0.4×	59 0.7×	45	1.2k
C. Neti United States	26	774 2.4×	774 3.2×	156 0.8×	61 0.6×	207 2.4×	70	2.4k
Abdulhameed Alelaiwi Saudi Arabia	10	119 0.4×	234 1.0×	94 0.5×	29 0.3×	75 0.9×	20	667
Beat Fasel Switzerland	12	157 0.5×	1.3k 5.2×	881 4.6×	61 0.6×	165 1.9×	17	1.6k
Kaoru Hirota Japan	16	272 0.8×	328 1.4×	142 0.7×	35 0.3×	39 0.4×	76	827
Anwar M. Mirza Pakistan	20	218 0.7×	723 3.0×	106 0.6×	76 0.7×	23 0.3×	81	1.3k
Raymond Veldhuis Netherlands	30	589 1.8×	1.7k 7.2×	156 0.8×	174 1.6×	84 1.0×	241	3.1k
Dana Lahat France	5	247 0.8×	171 0.7×	50 0.3×	64 0.6×	93 1.1×	11	830

Countries citing papers authored by Bernardino Romera‐Paredes

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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18 of 18 papers shown

Ruiz, Francisco J. R., Johannes Bausch, Matej Balog, et al.. (2025). Quantum circuit optimization with AlphaTensor. Nature Machine Intelligence. 7(3). 374–385. 2 indexed citations

Romera‐Paredes, Bernardino, Mohammadamin Barekatain, Alexander Novikov, et al.. (2023). Mathematical discoveries from program search with large language models. Nature. 625(7995). 468–475. 124 indexed citations breakdown →

Fawzi, Alhussein, Matej Balog, Aja Huang, et al.. (2022). Discovering faster matrix multiplication algorithms with reinforcement learning. Nature. 610(7930). 47–53. 244 indexed citations breakdown →

Kosmin, Michael, Joseph R. Ledsam, Bernardino Romera‐Paredes, et al.. (2019). Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer. Radiotherapy and Oncology. 135. 130–140. 99 indexed citations

Arnab, Anurag, Shuai Zheng, Sadeep Jayasumana, et al.. (2018). Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Processing Magazine. 35(1). 37–52. 81 indexed citations

Aung, Min Hane, Sebastian Kaltwang, Bernardino Romera‐Paredes, et al.. (2015). The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. IEEE Transactions on Affective Computing. 7(4). 435–451. 144 indexed citations

Griffin, Harry J., Min Hane Aung, Bernardino Romera‐Paredes, et al.. (2015). Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives. IEEE Transactions on Affective Computing. 6(2). 165–178. 25 indexed citations

Maurer, Andreas, Massimiliano Pontil, & Bernardino Romera‐Paredes. (2015). The Benefit of Multitask Representation Learning. arXiv (Cornell University). 37 indexed citations

Maurer, Andreas, Massimiliano Pontil, & Bernardino Romera‐Paredes. (2014). An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. UCL Discovery (University College London). 440–460. 2 indexed citations

10.

Romera‐Paredes, Bernardino, Cha Zhang, & Zhengyou Zhang. (2014). Facial expression tracking from head-mounted, partially observing cameras. 24. 1–6. 2 indexed citations

11.

Romera‐Paredes, Bernardino, Min Hane Aung, & Nadia Bianchi‐Berthouze. (2013). A One-Vs-One classifier ensemble with majority voting for activity recognition. UEA Digital Repository (University of East Anglia). 24 indexed citations

12.

Romera‐Paredes, Bernardino, et al.. (2013). Multilinear Multitask Learning. UCL Discovery (University College London). 1444–1452. 72 indexed citations

13.

Griffin, Harry J., Min Hane Aung, Bernardino Romera‐Paredes, et al.. (2013). Laughter Type Recognition from Whole Body Motion. Research Portal (Queen's University Belfast). 349–355. 29 indexed citations

14.

Aung, Min Hane, Bernardino Romera‐Paredes, Aneesha Singh, et al.. (2013). Getting RID of pain-related behaviour to improve social and self perception: A technology-based perspective. UEA Digital Repository (University of East Anglia). 407. 1–4. 14 indexed citations

15.

Romera‐Paredes, Bernardino, et al.. (2013). Transfer learning to account for idiosyncrasy in face and body expressions. UEA Digital Repository (University of East Anglia). 1–6. 24 indexed citations

16.

Romera‐Paredes, Bernardino, Andreas A. Argyriou, Nadia Bianchi‐Berthouze, & Massimiliano Pontil. (2012). Exploiting Unrelated Tasks in Multi-Task Learning. UCL Discovery (University College London). 951–959. 61 indexed citations

17.

Cella, Matteo, Min Hane Aung, Heng Meng, et al.. (2012). Identifying Pain Behaviour for Automatic Recognition.. UCL Discovery (University College London). 3 indexed citations

18.

Meng, Hongying, Bernardino Romera‐Paredes, & Nadia Bianchi‐Berthouze. (2011). Emotion recognition by two view SVM_2K classifier on dynamic facial expression features. 854–859. 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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