Naoko Tosa

166 total papers · 833 total citations
60 papers, 308 citations indexed

About

Naoko Tosa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Naoko Tosa has authored 60 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 15 papers in Control and Systems Engineering. Recurrent topics in Naoko Tosa's work include Video Analysis and Summarization (14 papers), Artificial Intelligence in Games (12 papers) and Human Motion and Animation (12 papers). Naoko Tosa is often cited by papers focused on Video Analysis and Summarization (14 papers), Artificial Intelligence in Games (12 papers) and Human Motion and Animation (12 papers). Naoko Tosa collaborates with scholars based in Japan, United States and Singapore. Naoko Tosa's co-authors include Ryohei Nakatsu, Joy Nicholson, Takeshi Yamada, Liang Zhao, Takashi Kusumi, Michihiko Minoh, H. Tamai, Feng Chen, Yongsoon Choi and Sunao Iwaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Leonardo.

In The Last Decade

Naoko Tosa

51 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
Naoko Tosa	115	111	90	65	63	60	308
A. Pakštas	46 0.4×	46 0.4×	159 1.8×	41 0.6×	57 0.9×	26	336
Phil Lopes	64 0.6×	92 0.8×	91 1.0×	17 0.3×	55 0.9×	29	328
Tatsuo Unemi	34 0.3×	64 0.6×	114 1.3×	49 0.8×	18 0.3×	37	325
Gang Liu	85 0.7×	66 0.6×	43 0.5×	62 1.0×	13 0.2×	29	273
Angelica Lim	68 0.6×	88 0.8×	83 0.9×	32 0.5×	136 2.2×	46	303
Katerina Pastra	34 0.3×	104 0.9×	124 1.4×	35 0.5×	61 1.0×	28	282
Chaoran Liu	81 0.7×	129 1.2×	79 0.9×	60 0.9×	139 2.2×	38	310
Andrew Johnston	32 0.3×	37 0.3×	133 1.5×	33 0.5×	19 0.3×	67	365
Katerina El Raheb	66 0.6×	28 0.3×	159 1.8×	23 0.4×	24 0.4×	28	287
Kazjon Grace	64 0.6×	83 0.7×	62 0.7×	9 0.1×	44 0.7×	45	362

Countries citing papers authored by Naoko Tosa

Since Specialization

Citations

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

Fields of papers citing papers by Naoko Tosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Tosa

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