Kaoru Nakano

50 total papers · 3.0k total citations
24 papers, 550 citations indexed

About

Kaoru Nakano is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Kaoru Nakano has authored 24 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 3 papers in Management Science and Operations Research. Recurrent topics in Kaoru Nakano's work include Energy Load and Power Forecasting (5 papers), Grey System Theory Applications (3 papers) and Neural Networks and Applications (3 papers). Kaoru Nakano is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Grey System Theory Applications (3 papers) and Neural Networks and Applications (3 papers). Kaoru Nakano collaborates with scholars based in Japan and Vietnam. Kaoru Nakano's co-authors include Hirotoshi Yamada, Seiichiro Koda, Akinori Takami, Hidewaki Nakagawa, Hiroyuki Mori, Akihiro Fujimoto, Tatsuhiko Tsunoda, Tetsuo Shibuya, Yusuke Nakamura and Masao Motoki and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Journal of Membrane Science.

In The Last Decade

Kaoru Nakano

24 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Kaoru Nakano	231	101	91	78	71	24	550
Hanyu Li	49 0.2×	185 1.8×	17 0.2×	106 1.4×	146 2.1×	45	544
Duc Minh Pham	22 0.1×	102 1.0×	38 0.4×	92 1.2×	73 1.0×	21	468
Hui Chen	35 0.2×	87 0.9×	31 0.3×	45 0.6×	99 1.4×	24	597
Yongkook Kim	210 0.9×	46 0.5×	5 0.1×	26 0.3×	76 1.1×	47	506
Guangyu Jia	120 0.5×	31 0.3×	88 1.0×	131 1.7×	35 0.5×	18	454
Hiroshi Tanaka	87 0.4×	22 0.2×	16 0.2×	66 0.8×	131 1.8×	57	488
Xitian Pi	35 0.2×	92 0.9×	69 0.8×	227 2.9×	60 0.8×	40	602
Nian Wang	65 0.3×	69 0.7×	23 0.3×	53 0.7×	53 0.7×	39	478
Abdulaziz Al‐Ali	79 0.3×	180 1.8×	27 0.3×	82 1.1×	45 0.6×	34	551
Mihee Lee	84 0.4×	40 0.4×	8 0.1×	40 0.5×	275 3.9×	18	551

Countries citing papers authored by Kaoru Nakano

Since Specialization

Citations

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

Fields of papers citing papers by Kaoru Nakano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Nakano

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