David Güera

15 papers and 382 indexed citations i.

About

David Güera is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Law. According to data from OpenAlex, David Güera has authored 15 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Law. Recurrent topics in David Güera’s work include Digital Media Forensic Detection (10 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Steganography and Watermarking Techniques (5 papers). David Güera is often cited by papers focused on Digital Media Forensic Detection (10 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Steganography and Watermarking Techniques (5 papers). David Güera collaborates with scholars based in United States, Italy and Australia. David Güera's co-authors include Edward J. Delp, Paolo Bestagini, Stefano Tubaro, Fengqing Zhu, Luca Bondi, Luca Baroffio, Yuhao Chen, Daniel Mas Montserrat, Sriram Baireddy and Justin Yang and has published in prestigious journals such as IEEE Signal Processing Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of David Güera i

Fields of papers citing papers by David Güera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Güera

Since Specialization
Citations

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

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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2025