Daniel Andor
About
Daniel Andor is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems.
According to data from OpenAlex, Daniel Andor has authored 7 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Daniel Andor’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Text Readability and Simplification (2 papers). Daniel Andor is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Text Readability and Simplification (2 papers). Daniel Andor collaborates with scholars based in United States. Daniel Andor's co-authors include David J. Weiss, Chris Alberti, Michael Collins, Andrew McCallum, Emma Strubell, Patrick Verga, Emily Pitler, Slav Petrov, Alessandro Presta and Kuzman Ganchev and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).
In The Last Decade
Co-authorship network of co-authors of Daniel Andor i
Fields of papers citing papers by Daniel Andor
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 Andor. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Andor may publish in the future.
Countries citing papers authored by Daniel Andor
Since SpecializationCitations
This map shows the geographic impact of Daniel Andor'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 Andor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Andor more than expected).
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