Matthias Fey

9 papers and 752 indexed citations i.

About

Matthias Fey is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Matthias Fey has authored 9 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Matthias Fey’s work include Advanced Graph Neural Networks (6 papers), Graph Theory and Algorithms (3 papers) and Complex Network Analysis Techniques (2 papers). Matthias Fey is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Graph Theory and Algorithms (3 papers) and Complex Network Analysis Techniques (2 papers). Matthias Fey collaborates with scholars based in Germany, United States and Canada. Matthias Fey's co-authors include Jan Eric Lenssen, Christopher Morris, Martin Ritzert, William L. Hamilton, Gaurav Rattan, Martin Grohe, Frank Weichert, Heinrich Müller, Nils M. Kriege and Jonathan Masci and has published in prestigious journals such as Fuzzy Sets and Systems, Journal of Magnetic Resonance and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Matthias Fey i

Fields of papers citing papers by Matthias Fey

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

Countries citing papers authored by Matthias Fey

Since Specialization
Citations

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

Rankless by CCL
2025