Marion Neumann
About
Marion Neumann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing.
According to data from OpenAlex, Marion Neumann has authored 11 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Marion Neumann’s work include Advanced Graph Neural Networks (5 papers), Graph Theory and Algorithms (3 papers) and Bayesian Modeling and Causal Inference (2 papers). Marion Neumann is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Graph Theory and Algorithms (3 papers) and Bayesian Modeling and Causal Inference (2 papers). Marion Neumann collaborates with scholars based in Germany, United States and United Kingdom. Marion Neumann's co-authors include Kristian Kersting, Roman Garnett, Petra Mutzel, Christopher Morris and Christian Bauckhage and has published in prestigious journals such as Machine Learning, Plant Pathology and Autonomous Robots.
In The Last Decade
Fields of papers citing papers by Marion Neumann
Since SpecializationEngineeringComputer 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 Marion Neumann. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Marion Neumann may publish in the future.
Countries citing papers authored by Marion Neumann
Since SpecializationCitations
This map shows the geographic impact of Marion Neumann'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 Marion Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Neumann more than expected).
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