Katsuya Ito

98 total papers · 1.1k total citations
51 papers, 816 citations indexed

About

Katsuya Ito is a scholar working on Economics and Econometrics, Polymers and Plastics and General Economics, Econometrics and Finance. According to data from OpenAlex, Katsuya Ito has authored 51 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 11 papers in Polymers and Plastics and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Katsuya Ito's work include Market Dynamics and Volatility (9 papers), Polymer crystallization and properties (7 papers) and Monetary Policy and Economic Impact (6 papers). Katsuya Ito is often cited by papers focused on Market Dynamics and Volatility (9 papers), Polymer crystallization and properties (7 papers) and Monetary Policy and Economic Impact (6 papers). Katsuya Ito collaborates with scholars based in Japan and United Kingdom. Katsuya Ito's co-authors include Kenji Takeuchi, Ken Osaka, Jun Aida, Yoshihisa Yamashita, Michiko Furuta, Kei Nakagawa, Kentaro Minami, Kazuya Nakakuki, Yasuaki Nishizuka and Tadashi Yoshimoto and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and AIChE Journal.

In The Last Decade

Katsuya Ito

44 papers receiving 761 citations

Hit Papers

CO2 emissions, renewable ... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katsuya Ito 474 358 198 110 69 51 816
Guixian Liu 264 0.6× 221 0.6× 64 0.3× 193 1.8× 16 0.2× 60 1.0k
Wei Fang 253 0.5× 122 0.3× 96 0.5× 44 0.4× 22 0.3× 45 742
Matthew White 334 0.7× 413 1.2× 111 0.6× 25 0.2× 15 0.2× 31 980
Md. Golam Kibria 147 0.3× 410 1.1× 48 0.2× 52 0.5× 24 0.3× 56 854
Rubayyat Hashmi 586 1.2× 292 0.8× 56 0.3× 199 1.8× 12 0.2× 29 910
Kashif Abbas 455 1.0× 273 0.8× 105 0.5× 153 1.4× 9 0.1× 35 793
Anne Neumann 436 0.9× 307 0.9× 24 0.1× 60 0.5× 157 2.3× 90 1.0k
Alberto Salvo 474 1.0× 262 0.7× 126 0.6× 119 1.1× 51 0.7× 49 1.0k
Yue Guo 200 0.4× 49 0.1× 59 0.3× 158 1.4× 26 0.4× 35 928
Jiaxiu He 195 0.4× 84 0.2× 48 0.2× 34 0.3× 6 0.1× 18 724

Countries citing papers authored by Katsuya Ito

Since Specialization
Citations

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

Fields of papers citing papers by Katsuya Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katsuya Ito. 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 Katsuya Ito. The network helps show where Katsuya Ito may publish in the future.

Co-authorship network of co-authors of Katsuya Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Ito. A scholar is included among the top collaborators of Katsuya Ito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katsuya Ito. Katsuya Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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