Toyohide Watanabe

384 total papers · 1.2k total citations
125 papers, 466 citations indexed

About

Toyohide Watanabe is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Toyohide Watanabe has authored 125 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 30 papers in Signal Processing and 30 papers in Artificial Intelligence. Recurrent topics in Toyohide Watanabe's work include Data Management and Algorithms (26 papers), Handwritten Text Recognition Techniques (10 papers) and Innovative Teaching and Learning Methods (10 papers). Toyohide Watanabe is often cited by papers focused on Data Management and Algorithms (26 papers), Handwritten Text Recognition Techniques (10 papers) and Innovative Teaching and Learning Methods (10 papers). Toyohide Watanabe collaborates with scholars based in Japan, China and United States. Toyohide Watanabe's co-authors include Gloria Phillips‐Wren, Xinlian Li, Noboru Sugie, Tomoharu Iwata, Takeshi Yamada, Yasuhiro Kinoshita, Robert J. Howlett, Lakhmi C. Jain, Jien Kato and Jun Feng and has published in prestigious journals such as Neurocomputing, Lecture notes in computer science and Applied Intelligence.

In The Last Decade

Toyohide Watanabe

108 papers receiving 437 citations

Author Peers

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

Author						Papers	Cites
Toyohide Watanabe	132	129	96	46	45	125	466
Ngo Tung Son	127 1.0×	140 1.1×	101 1.1×	49 1.1×	66 1.5×	57	518
Angélica de Antonio	108 0.8×	192 1.5×	86 0.9×	84 1.8×	27 0.6×	85	516
George F. Fragulis	99 0.8×	140 1.1×	58 0.6×	18 0.4×	75 1.7×	73	544
Adina Magda Florea	134 1.0×	164 1.3×	63 0.7×	50 1.1×	102 2.3×	101	453
Dohyun Kim	82 0.6×	88 0.7×	100 1.0×	29 0.6×	33 0.7×	76	515
F. Jakab	104 0.8×	63 0.5×	82 0.9×	48 1.0×	100 2.2×	99	418
Abbas Bigdeli	244 1.8×	96 0.7×	62 0.6×	34 0.7×	39 0.9×	49	488
Dimitrios Tsolis	84 0.6×	113 0.9×	98 1.0×	25 0.5×	63 1.4×	61	411
Ary Setijadi Prihatmanto	105 0.8×	87 0.7×	86 0.9×	23 0.5×	30 0.7×	152	527
Supeno Mardi Susiki Nugroho	94 0.7×	137 1.1×	140 1.5×	29 0.6×	34 0.8×	112	469

Countries citing papers authored by Toyohide Watanabe

Since Specialization

Citations

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

Fields of papers citing papers by Toyohide Watanabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toyohide Watanabe

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