Shu Tezuka

64 total papers · 1.5k total citations
41 papers, 874 citations indexed

About

Shu Tezuka is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shu Tezuka has authored 41 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Numerical Analysis, 16 papers in Computational Theory and Mathematics and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shu Tezuka's work include Mathematical Approximation and Integration (22 papers), Coding theory and cryptography (12 papers) and Chaos-based Image/Signal Encryption (11 papers). Shu Tezuka is often cited by papers focused on Mathematical Approximation and Integration (22 papers), Coding theory and cryptography (12 papers) and Chaos-based Image/Signal Encryption (11 papers). Shu Tezuka collaborates with scholars based in Japan, United States and Canada. Shu Tezuka's co-authors include Pierre L’Ecuyer, Syoiti Ninomiya, Raymond Couture, Henri Faure, Takeshi Tokuyama, Satoru Fujishige, Aicke Hinrichs, Akira Tajima, Friedrich Pillichshammer and Anargyros Papageorgiou and has published in prestigious journals such as Communications of the ACM, Mathematics of Computation and Journal of the ACM.

In The Last Decade

Shu Tezuka

37 papers receiving 759 citations

Author Peers

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

Author						Papers	Cites
Shu Tezuka	370	321	309	284	126	41	874
Peter Hellekalek	278 0.8×	213 0.7×	192 0.6×	183 0.6×	40 0.3×	34	750
Gerhard Larcher	675 1.8×	200 0.6×	185 0.6×	152 0.5×	95 0.8×	86	1.0k
Xiaoqun Wang	560 1.5×	56 0.2×	120 0.4×	35 0.1×	30 0.2×	62	943
Peter J. Grabner	139 0.4×	61 0.2×	306 1.0×	207 0.7×	43 0.3×	108	991
Dirk Nuyens	413 1.1×	34 0.1×	119 0.4×	26 0.1×	32 0.3×	43	700
Daniel Tabak	153 0.4×	44 0.1×	252 0.8×	98 0.3×	14 0.1×	48	1.0k
Yin Tat Lee	111 0.3×	84 0.3×	367 1.2×	331 1.2×	25 0.2×	46	807
Francesco Romani	81 0.2×	57 0.2×	326 1.1×	233 0.8×	113 0.9×	76	937
Jesse L. Barlow	175 0.5×	248 0.8×	410 1.3×	117 0.4×	5 0.0×	57	890
Decision Systems.	85 0.2×	70 0.2×	155 0.5×	97 0.3×	21 0.2×	105	740

Countries citing papers authored by Shu Tezuka

Since Specialization

Citations

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

Fields of papers citing papers by Shu Tezuka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Tezuka

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