Matt Feiszli

21 papers and 771 indexed citations i.

About

Matt Feiszli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Matt Feiszli has authored 21 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Matt Feiszli’s work include Multimodal Machine Learning Applications (10 papers), Human Pose and Action Recognition (10 papers) and Anomaly Detection Techniques and Applications (7 papers). Matt Feiszli is often cited by papers focused on Multimodal Machine Learning Applications (10 papers), Human Pose and Action Recognition (10 papers) and Anomaly Detection Techniques and Applications (7 papers). Matt Feiszli collaborates with scholars based in Israel, United States and United Kingdom. Matt Feiszli's co-authors include Du Tran, Wei‐Yao Wang, Lorenzo Torresani, Heng Wang, Heng Wang, Deepti Ghadiyaram, Laura Sevilla-Lara, Dhruv Mahajan, Yong Jae Lee and Krishna Kumar Singh and has published in prestigious journals such as Applied and Computational Harmonic Analysis, SIAM Journal on Imaging Sciences and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Matt Feiszli i

Fields of papers citing papers by Matt Feiszli

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 Matt Feiszli. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Matt Feiszli may publish in the future.

Countries citing papers authored by Matt Feiszli

Since Specialization
Citations

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

Rankless by CCL
2025