Dain Kaplan

5 papers and 46 indexed citations i.

About

Dain Kaplan is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Dain Kaplan has authored 5 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Dain Kaplan’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Semantic Web and Ontologies (2 papers). Dain Kaplan is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Semantic Web and Ontologies (2 papers). Dain Kaplan collaborates with scholars based in Japan, Finland and United States. Dain Kaplan's co-authors include Takenobu Tokunaga, Simone Teufel, Ryu Iida, Jianpeng Cheng, Dimitri Kartsaklis, Diarmuid Ó Séaghdha, Hong Yu, Lin Li, J. D. Williams and Héctor Martínez Alonso and has published in prestigious journals such as Language Resources and Evaluation, arXiv (Cornell University) and 2022 IEEE Global Engineering Education Conference (EDUCON).

In The Last Decade

Co-authorship network of co-authors of Dain Kaplan i

Fields of papers citing papers by Dain Kaplan

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

Countries citing papers authored by Dain Kaplan

Since Specialization
Citations

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

Rankless by CCL
2025