Reut Tsarfaty
About
Reut Tsarfaty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics.
According to data from OpenAlex, Reut Tsarfaty has authored 42 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Language and Linguistics. Recurrent topics in Reut Tsarfaty’s work include Topic Modeling (38 papers), Natural Language Processing Techniques (37 papers) and Text Readability and Simplification (12 papers). Reut Tsarfaty is often cited by papers focused on Topic Modeling (38 papers), Natural Language Processing Techniques (37 papers) and Text Readability and Simplification (12 papers). Reut Tsarfaty collaborates with scholars based in Israel, United States and Sweden. Reut Tsarfaty's co-authors include Yoav Goldberg, Joakim Nivre, Natalia Silveira, Slav Petrov, Christopher D. Manning, Sampo Pyysalo, Filip Ginter, Jan Hajič, Marie-Catherine de Marneffe and Ryan McDonald and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.
In The Last Decade
Co-authorship network of co-authors of Reut Tsarfaty i
Fields of papers citing papers by Reut Tsarfaty
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 Reut Tsarfaty. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Reut Tsarfaty may publish in the future.
Countries citing papers authored by Reut Tsarfaty
Since SpecializationCitations
This map shows the geographic impact of Reut Tsarfaty'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 Reut Tsarfaty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reut Tsarfaty more than expected).
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