Eva Schlinger
About
Eva Schlinger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics.
According to data from OpenAlex, Eva Schlinger has authored 5 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Language and Linguistics. Recurrent topics in Eva Schlinger’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Translation Studies and Practices (1 paper). Eva Schlinger is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Translation Studies and Practices (1 paper). Eva Schlinger collaborates with scholars based in United States. Eva Schlinger's co-authors include Chris Dyer, Victor Chahuneau, Swabha Swayamdipta, Yulia Tsvetkov and Waleed Ammar and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Eva Schlinger
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 Eva Schlinger. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Eva Schlinger may publish in the future.
Countries citing papers authored by Eva Schlinger
Since SpecializationCitations
This map shows the geographic impact of Eva Schlinger'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 Eva Schlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Schlinger more than expected).
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