Daniel Gläsner
About
Daniel Gläsner is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence.
According to data from OpenAlex, Daniel Gläsner has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Daniel Gläsner’s work include Advanced Neural Network Applications (4 papers), Computer Graphics and Visualization Techniques (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Daniel Gläsner is often cited by papers focused on Advanced Neural Network Applications (4 papers), Computer Graphics and Visualization Techniques (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Daniel Gläsner collaborates with scholars based in United States, Israel and Germany. Daniel Gläsner's co-authors include Shai Bagon, Michal Irani, Andreas Veit, Ayan Chakrabarti, Daliang Li, Thomas Unterthiner, Srinadh Bhojanapalli, Sharon Alpert, Ronen Basri and Gregory Shakhnarovich and has published in prestigious journals such as Sensors, ACM Transactions on Graphics and Image and Vision Computing.
In The Last Decade
Co-authorship network of co-authors of Daniel Gläsner i
Fields of papers citing papers by Daniel Gläsner
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 Daniel Gläsner. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Gläsner may publish in the future.
Countries citing papers authored by Daniel Gläsner
Since SpecializationCitations
This map shows the geographic impact of Daniel Gläsner'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 Daniel Gläsner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gläsner more than expected).
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