Pau Rodríguez

2.5k total citations · 2 hit papers
24 papers, 1.2k citations indexed

About

Pau Rodríguez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Pau Rodríguez has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Pau Rodríguez's work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Pau Rodríguez is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Pau Rodríguez collaborates with scholars based in Spain, Canada and Japan. Pau Rodríguez's co-authors include Jordi Gonzàlez, Miguel Ángel Bautista, Sérgio Escalera, David Vázquez, Alexandre Lacoste, F. Xavier Roca, Josep M. Gonfaus, Guillem Cucurull, Oscar Mañas and Xavier Giró-i-Nieto and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Atmospheric Environment.

In The Last Decade

Pau Rodríguez

24 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Beyond one-hot encoding: Lower dimensional target embedding

2018 299 citations Pau Rodríguez, Miguel Ángel Bautista et al. Image and Vision Computing profile →
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

2021 202 citations Alexandre Lacoste, David Vázquez et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pau Rodríguez Spain	13	427	349	209	139	71	24	1.2k
Kidiyo Kpalma France	17	543 1.3×	175 0.5×	210 1.0×	171 1.2×	77 1.1×	54	1.1k
Shilpa Gite India	19	322 0.8×	319 0.9×	97 0.5×	53 0.4×	83 1.2×	92	1.2k
Min Hu China	21	588 1.4×	289 0.8×	138 0.7×	216 1.6×	67 0.9×	163	1.6k
Wei Song China	20	1.1k 2.5×	202 0.6×	308 1.5×	224 1.6×	122 1.7×	127	2.0k
Jie Nie China	18	815 1.9×	350 1.0×	119 0.6×	60 0.4×	52 0.7×	124	1.3k
Jules‐Raymond Tapamo South Africa	18	578 1.4×	108 0.3×	116 0.6×	119 0.9×	148 2.1×	103	1.0k
Yo‐Ping Huang Taiwan	21	258 0.6×	318 0.9×	119 0.6×	25 0.2×	80 1.1×	156	1.6k
Frédéric Maire Australia	17	331 0.8×	349 1.0×	47 0.2×	155 1.1×	50 0.7×	83	1.2k
M. Kalaiselvi Geetha India	18	428 1.0×	182 0.5×	63 0.3×	83 0.6×	65 0.9×	86	1.1k
Qinghe Zheng China	17	477 1.1×	423 1.2×	106 0.5×	36 0.3×	146 2.1×	39	1.3k

Countries citing papers authored by Pau Rodríguez

Since Specialization

Citations

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

Fields of papers citing papers by Pau Rodríguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Rodríguez

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rodríguez, J.A., Issam Laradji, Pau Rodríguez, et al.. (2025). StarVector: Generating Scalable Vector Graphics Code from Images and Text. PolyPublie (École Polytechnique de Montréal). 16175–16186. 1 indexed citations

Lomonaco, Vincenzo, Lorenzo Pellegrini, Pau Rodríguez, et al.. (2022). CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. CINECA IRIS Institutial research information system (University of Pisa). 23 indexed citations

Rodríguez, Pau, et al.. (2022). Frequency-Based Enhancement Network for Efficient Super-Resolution. IEEE Access. 10. 57383–57397. 9 indexed citations

Rodríguez, Pau, et al.. (2022). Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. 47–57. 32 indexed citations

Laradji, Issam, et al.. (2022). A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–20. 61 indexed citations

Rodríguez, Pau, et al.. (2022). Single image super-resolution based on directional variance attention network. Pattern Recognition. 133. 108997–108997. 83 indexed citations

Laradji, Issam, Alzayat Saleh, Pau Rodríguez, et al.. (2021). Weakly supervised underwater fish segmentation using affinity LCFCN. Scientific Reports. 11(1). 17379–17379. 24 indexed citations

Gonfaus, Josep M., et al.. (2021). Logo Detection With No Priors. IEEE Access. 9. 106998–107011. 7 indexed citations

Rodríguez, Pau, et al.. (2021). Continual Learning via Local Module Composition. arXiv (Cornell University). 34. 4 indexed citations

10.

Caccia, M., Pau Rodríguez, Min Lin, et al.. (2020). Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. Neural Information Processing Systems. 33. 16532–16545. 23 indexed citations

11.

Rodríguez, Pau, Guillem Cucurull, Josep M. Gonfaus, et al.. (2020). Personality Trait Analysis in Social Networks Based on Weakly Supervised Learning of Shared Images. Applied Sciences. 10(22). 8170–8170. 3 indexed citations

12.

Rodríguez, Pau, et al.. (2019). Integrating Vision and Language in Social Networks for Identifying Visual Patterns of Personality Traits. International Journal of Social Science and Humanity. 6–12. 3 indexed citations

13.

Rodríguez, Pau, Miguel Ángel Bautista, Jordi Gonzàlez, & Sérgio Escalera. (2018). Beyond one-hot encoding: Lower dimensional target embedding. Image and Vision Computing. 75. 21–31. 299 indexed citations breakdown →

14.

Rodríguez, Pau, Guillem Cucurull, Jordi Gonzàlez, & Josep M. Gonfaus. (2018). A Painless Attention Mechanism for Convolutional Neural Networks. 3 indexed citations

15.

Rodríguez, Pau, Adlen Kerboua, Jordi Gonzàlez, et al.. (2018). PRAXIS: Towards automatic cognitive assessment using gesture recognition. Expert Systems with Applications. 106. 21–35. 29 indexed citations

16.

Rodríguez, Pau, Guillem Cucurull, Jordi Gonzàlez, et al.. (2017). Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. IEEE Transactions on Cybernetics. 52(5). 3314–3324. 204 indexed citations

17.

Haque, Mohammad A., Pau Rodríguez, Kamal Nasrollahi, et al.. (2016). Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images.. VBN Forskningsportal (Aalborg Universitet). 151–162. 5 indexed citations

18.

Merlos, Alexandra, Pau Rodríguez, Mathias Winterhalter, et al.. (2015). Toxins Secreted by Bacillus Isolated from Lung Adenocarcinomas Favor the Penetration of Toxic Substances. Frontiers in Microbiology. 6. 1301–1301. 3 indexed citations

19.

Gabarda, Salvador, et al.. (2010). A new Rényi entropy-based local image descriptor for object recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7723. 772312–772312. 2 indexed citations

20.

Amato, Fúlvio, Xavier Querol, Andrés Alástuey, et al.. (2009). Evaluating urban PM10 pollution benefit induced by street cleaning activities. Atmospheric Environment. 43(29). 4472–4480. 55 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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