Literary and Linguistic Computing
About
The 772 papers published in Literary and Linguistic Computing in the last decades have received a total of 8.5k indexed citations.
Papers published in Literary and Linguistic Computing usually cover Artificial Intelligence (425 papers), Literature and Literary Theory (185 papers) and Language and Linguistics (143 papers) specifically the topics of Natural Language Processing Techniques (269 papers), Digital Humanities and Scholarship (153 papers) and Authorship Attribution and Profiling (135 papers). The most active scholars publishing in Literary and Linguistic Computing are J. F. Burrows, Douglas Biber, David I. Holmes, Christian Kay, Moshe Koppel, David L. Hoover, John Grieve, Mark Davies, Kemal Oflazer and John Nerbonne.
In The Last Decade
Fields of papers published in Literary and Linguistic Computing
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 published in Literary and Linguistic Computing. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Literary and Linguistic Computing
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Literary and Linguistic Computing. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Literary and Linguistic Computing with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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