Chris Tar
About
Chris Tar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Industrial relations.
According to data from OpenAlex, Chris Tar has authored 5 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Management Science and Operations Research and 0 papers in Industrial relations. Recurrent topics in Chris Tar’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Data Quality and Management (1 paper). Chris Tar is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Data Quality and Management (1 paper). Chris Tar collaborates with scholars based in United States and Mexico. Chris Tar's co-authors include Yinfei Yang, Jason Baldridge, Yuan Zhang, Yun-Hsuan Sung, Noah Constant, Mandy Guo, Brian Strope, Gustavo Hernández Ábrego, Steve Yuan and Ray Kurzweil and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Findings of the Association for Computational Linguistics: ACL 2022.
In The Last Decade
Co-authorship network of co-authors of Chris Tar i
Fields of papers citing papers by Chris Tar
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 Chris Tar. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chris Tar may publish in the future.
Countries citing papers authored by Chris Tar
Since SpecializationCitations
This map shows the geographic impact of Chris Tar'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 Chris Tar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Tar more than expected).
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