Daniel Fried
About
Daniel Fried is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems.
According to data from OpenAlex, Daniel Fried has authored 14 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Daniel Fried’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (4 papers). Daniel Fried is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (4 papers). Daniel Fried collaborates with scholars based in United States, Germany and United Kingdom. Daniel Fried's co-authors include Dan Klein, Jacob Andreas, Mihai Surdeanu, Melanie Hingle, Stephen Kobourov, Mitchell Stern, Trevor Darrell, Anna Rohrbach, Kate Saenko and Louis‐Philippe Morency and has published in prestigious journals such as Physical Therapy, Transactions of the Association for Computational Linguistics and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
In The Last Decade
Co-authorship network of co-authors of Daniel Fried i
Fields of papers citing papers by Daniel Fried
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 Fried. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Fried may publish in the future.
Countries citing papers authored by Daniel Fried
Since SpecializationCitations
This map shows the geographic impact of Daniel Fried'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 Fried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fried more than expected).
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