<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(9)</volume><submitter>Ishii C</submitter><pubmed_abstract>Comprehensive observations of science, technology, and research policy transactions are important for developing an innovation strategy. We propose a new method that combines the academic landscape and matrix analysis to understand the relationships among activities of three aspects of the technological landscape: science, technology, and research policy. First, we divided academic research into 28 knowledge domains by clustering a citation network of scientific papers. Next, we developed a new matrix classifying them into three groups: "mature technology," "intermediate technology," and "emerging technology." The results showed that research domains in "emerging technology" showed a high rate of patent increase, indicating that they were commercializing rapidly. Finally, we identified the</pubmed_abstract><journal>Heliyon</journal><pagination>e10721</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9526165</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Obtaining interactions among science, technology, and research policy for developing an innovation strategy: A case study of supercapacitors.</pubmed_title><pmcid>PMC9526165</pmcid><pubmed_authors>Asatani K</pubmed_authors><pubmed_authors>Sakata I</pubmed_authors><pubmed_authors>Ishii C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Obtaining interactions among science, technology, and research policy for developing an innovation strategy: A case study of supercapacitors.</name><description>Comprehensive observations of science, technology, and research policy transactions are important for developing an innovation strategy. We propose a new method that combines the academic landscape and matrix analysis to understand the relationships among activities of three aspects of the technological landscape: science, technology, and research policy. First, we divided academic research into 28 knowledge domains by clustering a citation network of scientific papers. Next, we developed a new matrix classifying them into three groups: "mature technology," "intermediate technology," and "emerging technology." The results showed that research domains in "emerging technology" showed a high rate of patent increase, indicating that they were commercializing rapidly. Finally, we identified the</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2025-04-19T11:31:40.217Z</modification><creation>2025-02-19T00:24:12.128Z</creation></dates><accession>S-EPMC9526165</accession><cross_references><pubmed>36193537</pubmed><doi>10.1016/j.heliyon.2022.e10721</doi></cross_references></HashMap>