Kenichi Matsui

117 total papers · 524 total citations
61 papers, 315 citations indexed

About

Kenichi Matsui is a scholar working on Sociology and Political Science, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, Kenichi Matsui has authored 61 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 13 papers in Global and Planetary Change and 8 papers in Management, Monitoring, Policy and Law. Recurrent topics in Kenichi Matsui's work include Disaster Management and Resilience (6 papers), Software-Defined Networks and 5G (5 papers) and Flood Risk Assessment and Management (5 papers). Kenichi Matsui is often cited by papers focused on Disaster Management and Resilience (6 papers), Software-Defined Networks and 5G (5 papers) and Flood Risk Assessment and Management (5 papers). Kenichi Matsui collaborates with scholars based in Japan, Mongolia and United States. Kenichi Matsui's co-authors include Kate A. Berry, Sue Jackson, Keith Carlson, M. Kaneko, Atsushi Suzuki, Kazuhiro Matsuda, Hitoshi Nishino, Osamu Saitô, Toshiaki Aoki and Taka Sakurai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Global Environmental Change.

In The Last Decade

Kenichi Matsui

52 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Kenichi Matsui 102 56 42 32 31 61 315
José Manuel Mendes 191 1.9× 101 1.8× 17 0.4× 35 1.1× 28 0.9× 51 291
Lisa Segnestam 151 1.5× 72 1.3× 9 0.2× 29 0.9× 33 1.1× 19 319
Purnamita Dasgupta 44 0.4× 88 1.6× 18 0.4× 37 1.2× 19 0.6× 31 325
Anaís Roque 113 1.1× 42 0.8× 41 1.0× 21 0.7× 35 1.1× 24 263
Md. Salman Sohel 90 0.9× 76 1.4× 16 0.4× 7 0.2× 34 1.1× 36 310
Saleh Ahmed 158 1.5× 82 1.5× 62 1.5× 32 1.0× 14 0.5× 44 352
Silvia London 81 0.8× 68 1.2× 12 0.3× 54 1.7× 15 0.5× 52 330
Nu. Cepal. Subsede de México 112 1.1× 37 0.7× 34 0.8× 14 0.4× 12 0.4× 153 337
Peter Tangney 162 1.6× 131 2.3× 22 0.5× 18 0.6× 16 0.5× 24 281
David Pijawka 227 2.2× 62 1.1× 16 0.4× 75 2.3× 30 1.0× 26 351

Countries citing papers authored by Kenichi Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Kenichi Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichi Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Matsui. A scholar is included among the top collaborators of Kenichi Matsui 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 Kenichi Matsui. Kenichi Matsui 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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