Federico Raue

91 total papers · 1.2k total citations
18 papers, 620 citations indexed

About

Federico Raue is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Federico Raue has authored 18 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Federico Raue's work include Advanced Image Processing Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Image and Signal Denoising Methods (3 papers). Federico Raue is often cited by papers focused on Advanced Image Processing Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Image and Signal Denoising Methods (3 papers). Federico Raue collaborates with scholars based in Germany, Switzerland and United States. Federico Raue's co-authors include Andreas Dengel, J.J. van Hees, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki, Tobias Hinz, Andreas Dengel, Luca Bertinetto, Saeid Hassanzadeh and Syed Saqib Bukhari and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Federico Raue

14 papers receiving 588 citations

Hit Papers

Audioclip: Extending Clip... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Federico Raue 393 173 91 51 25 18 620
Ofir Pele 316 0.8× 187 1.1× 62 0.7× 39 0.8× 20 0.8× 11 638
Wenqing Chu 440 1.1× 170 1.0× 56 0.6× 50 1.0× 13 0.5× 21 571
Linjun Sun 334 0.8× 212 1.2× 159 1.7× 59 1.2× 21 0.8× 37 643
Wenliang Zhao 482 1.2× 280 1.6× 43 0.5× 42 0.8× 26 1.0× 18 655
Xiaokai Yi 358 0.9× 201 1.2× 109 1.2× 39 0.8× 38 1.5× 11 657
Stéphane Lathuilière 362 0.9× 236 1.4× 63 0.7× 34 0.7× 35 1.4× 32 630
Zheng Lu 635 1.6× 103 0.6× 151 1.7× 60 1.2× 20 0.8× 36 767
Anum Mehmood 306 0.8× 145 0.8× 59 0.6× 93 1.8× 14 0.6× 24 665
Zhibin Hong 650 1.7× 222 1.3× 77 0.8× 78 1.5× 25 1.0× 20 779
Qi Mao 506 1.3× 133 0.8× 54 0.6× 62 1.2× 17 0.7× 23 688

Countries citing papers authored by Federico Raue

Since Specialization
Citations

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

Fields of papers citing papers by Federico Raue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Raue

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

All Works

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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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