Naoko Kaida

39 total papers · 780 total citations
22 papers, 558 citations indexed

About

Naoko Kaida is a scholar working on Management, Monitoring, Policy and Law, Sociology and Political Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Naoko Kaida has authored 22 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management, Monitoring, Policy and Law, 4 papers in Sociology and Political Science and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Naoko Kaida's work include Environmental Education and Sustainability (6 papers), Urban Green Space and Health (4 papers) and Optimism, Hope, and Well-being (2 papers). Naoko Kaida is often cited by papers focused on Environmental Education and Sustainability (6 papers), Urban Green Space and Health (4 papers) and Optimism, Hope, and Well-being (2 papers). Naoko Kaida collaborates with scholars based in Japan, Malaysia and Vietnam. Naoko Kaida's co-authors include Kosuke Kaida, Tongyu Wang, Fazrena Nadia Md Akhir, Hirofumi Hara, Shohei Nakamura, Nor’azizi Othman, Kunihiko Yoshino, Dieu Tien Bui, Tien Dat Pham and Rory Padfield and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Naoko Kaida

22 papers receiving 545 citations

Author Peers

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

Author						Papers	Cites
Naoko Kaida	203	157	115	96	84	22	558
Laura Henn	293 1.4×	142 0.9×	150 1.3×	40 0.4×	25 0.3×	17	508
Carla Rodríguez-Sánchez	281 1.4×	257 1.6×	226 2.0×	37 0.4×	27 0.3×	33	604
João Menezes	354 1.7×	298 1.9×	165 1.4×	45 0.5×	22 0.3×	19	620
Jerrod Penn	117 0.6×	136 0.9×	82 0.7×	78 0.8×	72 0.9×	48	698
Courtney Hammond Wagner	168 0.8×	69 0.4×	138 1.2×	28 0.3×	120 1.4×	21	541
Piyapong Janmaimool	299 1.5×	198 1.3×	194 1.7×	27 0.3×	21 0.3×	30	601
Anastasia Gkargkavouzi	394 1.9×	289 1.8×	154 1.3×	21 0.2×	29 0.3×	13	564
Ayça Berfu Ünal	257 1.3×	195 1.2×	114 1.0×	26 0.3×	19 0.2×	16	624
Therese Lindahl	154 0.8×	51 0.3×	162 1.4×	69 0.7×	191 2.3×	35	670
Deborah Roy	212 1.0×	98 0.6×	191 1.7×	45 0.5×	14 0.2×	31	667

Countries citing papers authored by Naoko Kaida

Since Specialization

Citations

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

Fields of papers citing papers by Naoko Kaida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Kaida

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