Liam Fowl

11 papers and 132 indexed citations i.

About

Liam Fowl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Liam Fowl has authored 11 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Liam Fowl’s work include Adversarial Robustness in Machine Learning (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (3 papers). Liam Fowl is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (3 papers). Liam Fowl collaborates with scholars based in United States and Germany. Liam Fowl's co-authors include Tom Goldstein, Micah Goldblum, Jonas Geiping and Gavin Taylor and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Liam Fowl

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

Countries citing papers authored by Liam Fowl

Since Specialization
Citations

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

Rankless by CCL
2025