S. Hirano

59 total papers · 415 total citations
35 papers, 263 citations indexed

About

S. Hirano is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, S. Hirano has authored 35 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in S. Hirano's work include Rough Sets and Fuzzy Logic (14 papers), Data Mining Algorithms and Applications (8 papers) and Data Management and Algorithms (7 papers). S. Hirano is often cited by papers focused on Rough Sets and Fuzzy Logic (14 papers), Data Mining Algorithms and Applications (8 papers) and Data Management and Algorithms (7 papers). S. Hirano collaborates with scholars based in Japan and United States. S. Hirano's co-authors include Shusaku Tsumoto, Yutaka Hata, Syoji Kobashi, Hajime Kitagaki, Etsuro Mori, Masayoshi Shimamura, Shinji Kosaka, Matsuo Orito, Shuji Tokunaga and Y. Hata and has published in prestigious journals such as Pediatric Research, Image and Vision Computing and American Journal of Nephrology.

In The Last Decade

S. Hirano

33 papers receiving 252 citations

Author Peers

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

Author						Papers	Cites
S. Hirano	72	65	55	43	37	35	263
Abdul Raouf Khan	24 0.3×	60 0.9×	44 0.8×	11 0.3×	43 1.2×	36	322
Afnizanfaizal Abdullah	62 0.9×	32 0.5×	84 1.5×	9 0.2×	32 0.9×	39	291
Francisco Fernández de Vega	40 0.6×	30 0.5×	159 2.9×	27 0.6×	23 0.6×	45	265
André Souto	30 0.4×	32 0.5×	81 1.5×	18 0.4×	19 0.5×	35	271
Chenghong Wang	21 0.3×	11 0.2×	141 2.6×	20 0.5×	66 1.8×	42	285
Chao Huang	41 0.6×	29 0.4×	37 0.7×	40 0.9×	2 0.1×	29	282
K. Kannan	100 1.4×	8 0.1×	39 0.7×	32 0.7×	21 0.6×	35	293
Zhiqun Chen	18 0.3×	21 0.3×	137 2.5×	26 0.6×	42 1.1×	30	302
Tinghua Wang	103 1.4×	14 0.2×	173 3.1×	14 0.3×	14 0.4×	32	307
Conghua Zhou	16 0.2×	16 0.2×	75 1.4×	10 0.2×	70 1.9×	41	234

Countries citing papers authored by S. Hirano

Since Specialization

Citations

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

Fields of papers citing papers by S. Hirano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Hirano

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