Hidetaka Taniguchi

4 papers and 36 indexed citations i.

About

Hidetaka Taniguchi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Neurology. According to data from OpenAlex, Hidetaka Taniguchi has authored 4 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Neurology. Recurrent topics in Hidetaka Taniguchi’s work include Bayesian Modeling and Causal Inference (3 papers), Text and Document Classification Technologies (1 paper) and Neural Networks and Applications (1 paper). Hidetaka Taniguchi is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Text and Document Classification Technologies (1 paper) and Neural Networks and Applications (1 paper). Hidetaka Taniguchi collaborates with scholars based in Japan. Hidetaka Taniguchi's co-authors include Hiroshi Satō and Tomohiro Shirakawa and has published in prestigious journals such as Scientific Reports, SICE Journal of Control Measurement and System Integration and AIP conference proceedings.

In The Last Decade

Co-authorship network of co-authors of Hidetaka Taniguchi i

Fields of papers citing papers by Hidetaka Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hidetaka Taniguchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hidetaka Taniguchi. The network helps show where Hidetaka Taniguchi may publish in the future.

Countries citing papers authored by Hidetaka Taniguchi

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025