Tyler L. Hayes

13 papers and 466 indexed citations i.

About

Tyler L. Hayes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Education. According to data from OpenAlex, Tyler L. Hayes has authored 13 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Education. Recurrent topics in Tyler L. Hayes’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Tyler L. Hayes is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Tyler L. Hayes collaborates with scholars based in United States. Tyler L. Hayes's co-authors include Christopher Kanan, Ronald Kemker, Nathan D. Cahill, Hava T. Siegelmann, Maxim Bazhenov, Terrence J. Sejnowski, Giri P. Krishnan, Hitesh Vaidya and John F. Hamilton and has published in prestigious journals such as PLoS ONE, Neural Computation and Cogent Social Sciences.

In The Last Decade

Co-authorship network of co-authors of Tyler L. Hayes i

Fields of papers citing papers by Tyler L. Hayes

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

Countries citing papers authored by Tyler L. Hayes

Since Specialization
Citations

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

Rankless by CCL
2025