David Güera

2.2k total citations · 1 hit paper
16 papers, 1.2k citations indexed

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 16 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, 4 papers in Artificial Intelligence and 4 papers in Law. Recurrent topics in David Güera's work include Digital Media Forensic Detection (11 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). David Güera is often cited by papers focused on Digital Media Forensic Detection (11 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). David Güera collaborates with scholars based in United States, Italy and Australia. David Güera's co-authors include Edward J. Delp, Stefano Tubaro, Paolo Bestagini, Luca Bondi, Luca Baroffio, Silvia Lameri, Fengqing Zhu, Amy R. Reibman, Khalid Tahboub and Nicolò Bonettini and has published in prestigious journals such as IEEE Signal Processing Letters, arXiv (Cornell University) and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).

In The Last Decade

David Güera

16 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.

Deepfake Video Detection Using Recurrent Neural Networks

2018 704 citations David Güera, Edward J. Delp profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Güera United States	10	1.0k	335	108	99	83	16	1.2k
Cecilia Pasquini Italy	14	673 0.7×	111 0.3×	130 1.2×	49 0.5×	89 1.1×	31	744
Belhassen Bayar United States	11	1.1k 1.0×	240 0.7×	261 2.4×	166 1.7×	39 0.5×	13	1.2k
Valentina Conotter Italy	12	654 0.6×	73 0.2×	130 1.2×	49 0.5×	67 0.8×	30	712
Heung-Kyu Lee South Korea	25	2.2k 2.2×	156 0.5×	291 2.7×	94 0.9×	296 3.6×	140	2.4k
Zeno Geradts Netherlands	18	560 0.5×	92 0.3×	88 0.8×	54 0.5×	129 1.6×	72	812
Huy H. Nguyen Japan	13	950 0.9×	357 1.1×	29 0.3×	12 0.1×	117 1.4×	41	1.1k
Yuezun Li China	11	2.3k 2.2×	801 2.4×	25 0.2×	32 0.3×	210 2.5×	43	2.5k
Wenbo Zhou China	15	1.4k 1.3×	479 1.4×	40 0.4×	12 0.1×	156 1.9×	54	1.5k
Gouda I. Salama Egypt	13	227 0.2×	207 0.6×	71 0.7×	9 0.1×	91 1.1×	51	491

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).

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.

Co-authorship network of co-authors of David Güera

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

All Works

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16 of 16 papers shown

1.

Montserrat, Daniel Mas, et al.. (2021). Saliency-Aware Class-Agnostic Food Image Segmentation. 2(3). 1–17. 9 indexed citations

2.

Güera, David, et al.. (2020). Robustness Analysis of Face Obscuration. 176–183. 8 indexed citations

3.

Baireddy, Sriram, et al.. (2020). Learning Eating Environments Through Scene Clustering. 71. 2488–2492. 1 indexed citations

4.

Güera, David, et al.. (2019). Splicing Detection and Localization In Satellite Imagery Using Conditional GANs. arXiv (Cornell University). 91–96. 23 indexed citations

5.

Güera, David, et al.. (2019). Anomaly-Based Manipulation Detection in Satellite Images.. Computer Vision and Pattern Recognition. 62–71. 17 indexed citations

6.

Güera, David, Daniel Mas Montserrat, Fengqing Zhu, et al.. (2019). Shadow Removal Detection and Localization for Forensics Analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2677–2681. 6 indexed citations

7.

Bonettini, Nicolò, David Güera, Luca Bondi, et al.. (2019). Image Anonymization Detection with Deep Handcrafted Features. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 6819. 2304–2308. 4 indexed citations

8.

Güera, David, et al.. (2018). Satellite image forgery detection and localization using GAN and One-Class classifier. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 44 indexed citations

9.

Güera, David, et al.. (2018). Reliability Map Estimation for CNN-Based Camera Model Attribution. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 964–973. 18 indexed citations

10.

Bonettini, Nicolò, Luca Bondi, David Güera, et al.. (2018). Fooling PRNU-Based Detectors Through Convolutional Neural Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 957–961. 7 indexed citations

11.

Güera, David, et al.. (2018). Weighted Hausdorff Distance: A Loss Function For Object Localization.. 9 indexed citations

12.

Güera, David & Edward J. Delp. (2018). Deepfake Video Detection Using Recurrent Neural Networks. 1–6. 704 indexed citations breakdown →

13.

Tahboub, Khalid, David Güera, Amy R. Reibman, & Edward J. Delp. (2017). Quality-adaptive deep learning for pedestrian detection. 4187–4191. 10 indexed citations

14.

Bondi, Luca, David Güera, Luca Baroffio, et al.. (2017). A Preliminary Study on Convolutional Neural Networks for Camera Model Identification. Electronic Imaging. 29(7). 67–76. 26 indexed citations

15.

Bondi, Luca, Silvia Lameri, David Güera, et al.. (2017). Tampering Detection and Localization Through Clustering of Camera-Based CNN Features. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1855–1864. 138 indexed citations

16.

Bondi, Luca, Luca Baroffio, David Güera, et al.. (2016). First Steps Toward Camera Model Identification With Convolutional Neural Networks. IEEE Signal Processing Letters. 24(3). 259–263. 162 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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