Pau Panareda Busto

732 total citations · 1 hit paper
5 papers, 444 citations indexed

About

Pau Panareda Busto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Pau Panareda Busto has authored 5 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Ocean Engineering. Recurrent topics in Pau Panareda Busto's work include Multimodal Machine Learning Applications (2 papers), Advanced Vision and Imaging (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Pau Panareda Busto is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Advanced Vision and Imaging (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Pau Panareda Busto collaborates with scholars based in Germany and Spain. Pau Panareda Busto's co-authors include Jüergen Gall, Ahsan Iqbal, Joerg Liebelt, Marc Stamminger and Sylvain Lefèbvre and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Eurographics.

In The Last Decade

Pau Panareda Busto

5 papers receiving 436 citations

Hit Papers

Open Set Domain Adaptation 2017 2026 2020 2023 2017 100 200 300

Peers

Pau Panareda Busto
Pau Panareda Busto
Citations per year, relative to Pau Panareda Busto Pau Panareda Busto (= 1×) peers Hongliang Yan

Countries citing papers authored by Pau Panareda Busto

Since Specialization
Citations

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

Fields of papers citing papers by Pau Panareda Busto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Panareda Busto

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

All Works

5 of 5 papers shown
1.
Busto, Pau Panareda, Ahsan Iqbal, & Jüergen Gall. (2018). Open Set Domain Adaptation for Image and Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(2). 413–429. 65 indexed citations
2.
Busto, Pau Panareda & Jüergen Gall. (2018). Viewpoint refinement and estimation with adapted synthetic data. Computer Vision and Image Understanding. 169. 75–89. 2 indexed citations
3.
Busto, Pau Panareda & Jüergen Gall. (2017). Open Set Domain Adaptation. 754–763. 355 indexed citations breakdown →
4.
Busto, Pau Panareda, Joerg Liebelt, & Jüergen Gall. (2015). Adaptation of Synthetic Data for Coarse-to-Fine Viewpoint Refinement. 14.1–14.12. 12 indexed citations
5.
Busto, Pau Panareda, et al.. (2010). Instant Texture Synthesis by Numbers. Eurographics. 81–85. 10 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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