Karen Kukich

About

Karen Kukich is a scholar working on Artificial Intelligence, Education and Information Systems. According to data from OpenAlex, Karen Kukich has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Education and 5 papers in Information Systems. Recurrent topics in Karen Kukich’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Semantic Web and Ontologies (6 papers). Karen Kukich is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Semantic Web and Ontologies (6 papers). Karen Kukich collaborates with scholars based in United States. Karen Kukich's co-authors include Jill Burstein, Martin Chodorow, Mary E. Fowles, Donald E. Powers and Chi Lu and has published in prestigious journals such as Communications of the ACM, Computers in Human Behavior and ACM Computing Surveys.

In The Last Decade

Fields of papers citing papers by Karen Kukich

Since Specialization

EngineeringComputer 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 Karen Kukich. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Karen Kukich may publish in the future.

Countries citing papers authored by Karen Kukich

Since Specialization

Citations

This map shows the geographic impact of Karen Kukich'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 Karen Kukich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Kukich more than expected).

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