Sina Zarrieß

About

Sina Zarrieß is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Sina Zarrieß has authored 29 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 2 papers in Social Psychology. Recurrent topics in Sina Zarrieß’s work include Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers) and Multimodal Machine Learning Applications (12 papers). Sina Zarrieß is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers) and Multimodal Machine Learning Applications (12 papers). Sina Zarrieß collaborates with scholars based in Germany, Spain and United States. Sina Zarrieß's co-authors include David Schlangen, Jonas Kuhn, Gemma Boleda, Julian Hough and Casey Kennington and has published in prestigious journals such as Language Resources and Evaluation and Information.

In The Last Decade

Fields of papers citing papers by Sina Zarrieß

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

Countries citing papers authored by Sina Zarrieß

Since Specialization

Citations

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

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