Maomi Ueno

56 papers and 265 indexed citations i.

About

Maomi Ueno is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Maomi Ueno has authored 56 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Information Systems and 10 papers in Management Science and Operations Research. Recurrent topics in Maomi Ueno’s work include Bayesian Modeling and Causal Inference (13 papers), Educational Technology and Assessment (11 papers) and Intelligent Tutoring Systems and Adaptive Learning (9 papers). Maomi Ueno is often cited by papers focused on Bayesian Modeling and Causal Inference (13 papers), Educational Technology and Assessment (11 papers) and Intelligent Tutoring Systems and Adaptive Learning (9 papers). Maomi Ueno collaborates with scholars based in Japan, Thailand and The Netherlands. Maomi Ueno's co-authors include Masaki Uto, Toshio Okamoto, Yasuhiko Morimoto, Kazuo Shigemasu and Toshio Okamoto and has published in prestigious journals such as IEEE Access, Educational Technology Research and Development and Lecture notes in computer science.

In The Last Decade

Fields of papers citing papers by Maomi Ueno

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

Countries citing papers authored by Maomi Ueno

Since Specialization
Citations

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

Rankless by CCL
2025