Matthew C. Stamm

4.6k total citations · 3 hit papers
72 papers, 3.1k citations indexed

About

Matthew C. Stamm is a scholar working on Computer Vision and Pattern Recognition, Law and Artificial Intelligence. According to data from OpenAlex, Matthew C. Stamm has authored 72 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 15 papers in Law and 13 papers in Artificial Intelligence. Recurrent topics in Matthew C. Stamm's work include Digital Media Forensic Detection (61 papers), Advanced Steganography and Watermarking Techniques (44 papers) and Law in Society and Culture (15 papers). Matthew C. Stamm is often cited by papers focused on Digital Media Forensic Detection (61 papers), Advanced Steganography and Watermarking Techniques (44 papers) and Law in Society and Culture (15 papers). Matthew C. Stamm collaborates with scholars based in United States, Italy and China. Matthew C. Stamm's co-authors include Belhassen Bayar, K. J. Ray Liu, K J R Liu, Min Wu, K.J. Ray Liu, W. Sabrina Lin, Xiangui Kang, Anjie Peng, Wei Lin and Chen Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Signal Processing Magazine.

In The Last Decade

Matthew C. Stamm

69 papers receiving 3.0k citations

Hit Papers

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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.

A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer

2016 497 citations Belhassen Bayar, Matthew C. Stamm profile →
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection

2018 375 citations Belhassen Bayar, Matthew C. Stamm profile →
Information Forensics: An Overview of the First Decade

2013 276 citations Matthew C. Stamm, K. J. Ray Liu et al. IEEE Access profile →

Peers

Countries citing papers authored by Matthew C. Stamm

Since Specialization

Citations

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

Fields of papers citing papers by Matthew C. Stamm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Stamm. 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 Matthew C. Stamm. The network helps show where Matthew C. Stamm may publish in the future.

Co-authorship network of co-authors of Matthew C. Stamm

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images 2025 ·(unknown), (unknown), Matthew C. Stamm	1
2	Beyond Deepfake Images: Detecting AI-Generated Videos 2024 ·(unknown), Tai D. Nguyen, (unknown), Matthew C. Stamm	3
3	Detecting GAN-generated synthetic images using semantic inconsistencies 2023 ·Electronic Imaging ·(unknown), Matthew C. Stamm	2
4	Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions] 2023 ·IEEE Signal Processing Magazine ·Davide Salvi, (unknown), Paolo Bestagini, Fabio Antonacci, Matthew C. Stamm, Lucio Marcenaro, Angshul Majumdar	0
5	Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks 2023 ·(unknown), (unknown), Matthew C. Stamm	1
6	Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies 2021 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Brian Hosler, Davide Salvi, (unknown), Fabio Antonacci, Paolo Bestagini, Stefano Tubaro, Matthew C. Stamm	42
7	The Video Authentication and Camera Identification Database: A New Database for Video Forensics 2019 ·IEEE Access ·Brian Hosler, Xinwei Zhao, (unknown), Chen Chen, James Shackleford, Matthew C. Stamm	30
8	Adversarial Multimedia Forensics: Overview and Challenges Ahead 2018 ·Use Siena air (University of Siena) ·Mauro Barni, Matthew C. Stamm, Benedetta Tondi	32
9	Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks 2018 ·Electronic Imaging ·Belhassen Bayar, Matthew C. Stamm	6
10	Detecting anti-forensic attacks on demosaicing-based camera model identification 2017 ·Chen Chen, Xinwei Zhao, Matthew C. Stamm	10
11	Classification of sleep states in mice using generic compression algorithms 2016 ·(unknown), Diane C Lim, Allan I Pack, Matthew C. Stamm	1
12	Information Theoretical Limit of Operation Forensics 2016 ·Xiaoyu Chu, Yan Chen, (unknown), Matthew C. Stamm	1
13	Anti-forensics of chromatic aberration 2015 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Matthew C. Stamm	8
14	Protection against reverse engineering in digital cameras 2013 ·Matthew C. Stamm, K. J. Ray Liu	2
15	Robust median filtering forensics based on the autoregressive model of median filtered residual 2012 ·Asia-Pacific Signal and Information Processing Association Annual Summit and Conference ·Xiangui Kang, Matthew C. Stamm, Anjie Peng, K. J. Ray Liu	16
16	Forensic identification of compressively sensed signals 2012 ·Xiaoyu Chu, Matthew C. Stamm, K. J. Ray Liu	1
17	Anti-forensics for frame deletion/addition in MPEG video 2011 ·Matthew C. Stamm, K. J. Ray Liu	23
18	Wavelet-based image compression anti-forensics 2010 ·Matthew C. Stamm, K J R Liu	22
19	Forensic Detection of Image Tampering Using Intrinsic Statistical Fingerprints in Histograms 2009 ·Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University) ·Matthew C. Stamm, K. J. Ray Liu	8
20	Daily Water Requirements when Wearing Body Armor 2000 ·Defense Technical Information Center (DTIC) ·Scott J. Montain, Matthew C. Stamm	1

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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