Daniel Cer
About
Daniel Cer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology.
According to data from OpenAlex, Daniel Cer has authored 38 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Daniel Cer’s work include Topic Modeling (37 papers), Natural Language Processing Techniques (37 papers) and Text Readability and Simplification (7 papers). Daniel Cer is often cited by papers focused on Topic Modeling (37 papers), Natural Language Processing Techniques (37 papers) and Text Readability and Simplification (7 papers). Daniel Cer collaborates with scholars based in United States, Spain and United Kingdom. Daniel Cer's co-authors include Christopher D. Manning, Yinfei Yang, Yun-Hsuan Sung, Daniel Jurafsky and Mona Diab and has published in prestigious journals such as Language Resources and Evaluation and Machine Translation.
In The Last Decade
Fields of papers citing papers by Daniel Cer
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 Cer. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Cer may publish in the future.
Countries citing papers authored by Daniel Cer
Since SpecializationCitations
This map shows the geographic impact of Daniel Cer'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 Cer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cer more than expected).
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