Markus Hagenbuchner

45 papers and 4.5k indexed citations i.

About

Markus Hagenbuchner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Markus Hagenbuchner has authored 45 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Markus Hagenbuchner’s work include Neural Networks and Applications (19 papers), Advanced Graph Neural Networks (8 papers) and Face and Expression Recognition (7 papers). Markus Hagenbuchner is often cited by papers focused on Neural Networks and Applications (19 papers), Advanced Graph Neural Networks (8 papers) and Face and Expression Recognition (7 papers). Markus Hagenbuchner collaborates with scholars based in Australia, Italy and Hong Kong. Markus Hagenbuchner's co-authors include Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Zhiyong Wang and Mohammed Bennamoun and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Medical Physics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Fields of papers citing papers by Markus Hagenbuchner

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

Countries citing papers authored by Markus Hagenbuchner

Since Specialization
Citations

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

Rankless by CCL
2025