Matt Deitke

4 papers and 241 indexed citations i.

About

Matt Deitke is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Matt Deitke has authored 4 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Matt Deitke’s work include Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Neural Network Applications (1 paper). Matt Deitke is often cited by papers focused on Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Neural Network Applications (1 paper). Matt Deitke collaborates with scholars based in United States. Matt Deitke's co-authors include Aniruddha Kembhavi, Luca Weihs, Dustin Schwenk, Eli VanderBilt, Jordi Salvador, Ali Farhadi, Roozbeh Mottaghi, Oscar Michel, Ludwig Schmidt and Winson Han and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

Fields of papers citing papers by Matt Deitke

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

Countries citing papers authored by Matt Deitke

Since Specialization
Citations

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

Rankless by CCL
2025