Miriam Hägele

About

Miriam Hägele is a scholar working on Artificial Intelligence, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miriam Hägele has authored 4 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Biophysics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miriam Hägele’s work include AI in cancer detection (2 papers), Cell Image Analysis Techniques (2 papers) and Digital Imaging for Blood Diseases (1 paper). Miriam Hägele is often cited by papers focused on AI in cancer detection (2 papers), Cell Image Analysis Techniques (2 papers) and Digital Imaging for Blood Diseases (1 paper). Miriam Hägele collaborates with scholars based in Germany, Singapore and Japan. Miriam Hägele's co-authors include Sebastian Lapuschkin, Philipp Seegerer, Wojciech Samek, Alexander Binder and Frederick Klauschen and has published in prestigious journals such as Scientific Reports and Nature Machine Intelligence.

In The Last Decade

Fields of papers citing papers by Miriam Hägele

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

Countries citing papers authored by Miriam Hägele

Since Specialization

Citations

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

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