Matthew C. Stamm

50 papers and 1.8k indexed citations i.

About

Matthew C. Stamm is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Law. According to data from OpenAlex, Matthew C. Stamm has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Law. Recurrent topics in Matthew C. Stamm’s work include Digital Media Forensic Detection (43 papers), Advanced Steganography and Watermarking Techniques (29 papers) and Generative Adversarial Networks and Image Synthesis (12 papers). Matthew C. Stamm is often cited by papers focused on Digital Media Forensic Detection (43 papers), Advanced Steganography and Watermarking Techniques (29 papers) and Generative Adversarial Networks and Image Synthesis (12 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, Owen Mayer, Min Wu, K.J. Ray Liu, W. Sabrina Lin, Anjie Peng, Xiangui Kang and Xinwei Zhao and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Signal Processing Magazine.

In The Last Decade

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

Fields of papers citing papers by Matthew C. Stamm

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Matthew C. Stamm. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Matthew C. Stamm may publish in the future.

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).

Rankless by CCL
2025