S. Tanimoto

622 total citations
13 papers, 402 citations indexed

About

S. Tanimoto is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, S. Tanimoto has authored 13 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in S. Tanimoto's work include Data Management and Algorithms (4 papers), Graph Theory and Algorithms (3 papers) and Image Retrieval and Classification Techniques (3 papers). S. Tanimoto is often cited by papers focused on Data Management and Algorithms (4 papers), Graph Theory and Algorithms (3 papers) and Image Retrieval and Classification Techniques (3 papers). S. Tanimoto collaborates with scholars based in United States and Italy. S. Tanimoto's co-authors include T. Pavlidis, Luigi Cinque, S. Levialdi, Linda G. Shapiro, Virginia W. Berninger, Robert D. Abbott, William E. Nagy, Luca Lombardi, Ernest W. Kent and Randy Allen and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Parallel and Distributed Systems and Journal of Computer Assisted Learning.

In The Last Decade

S. Tanimoto

13 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Tanimoto United States	6	270	57	53	48	40	13	402
Minoru Maruyama Japan	9	231 0.9×	41 0.7×	47 0.9×	55 1.1×	23 0.6×	44	303
Masoud Alghoniemy Egypt	10	538 2.0×	127 2.2×	92 1.7×	46 1.0×	47 1.2×	50	719
Matthew D. Mullin United States	9	496 1.8×	62 1.1×	152 2.9×	74 1.5×	43 1.1×	11	657
Dc Burr United States	7	321 1.2×	84 1.5×	202 3.8×	26 0.5×	35 0.9×	13	533
Robert Anderson United Kingdom	9	320 1.2×	74 1.3×	56 1.1×	39 0.8×	35 0.9×	18	384
Roland Hu China	11	247 0.9×	28 0.5×	72 1.4×	23 0.5×	13 0.3×	31	364
W. Bruce Culbertson United States	11	179 0.7×	27 0.5×	21 0.4×	28 0.6×	27 0.7×	13	436
Randi J. Rost United States	6	190 0.7×	29 0.5×	52 1.0×	19 0.4×	16 0.4×	9	405
Richard Mann Canada	12	212 0.8×	32 0.6×	108 2.0×	34 0.7×	64 1.6×	30	379
Fŕed́eric Precioso France	14	308 1.1×	69 1.2×	145 2.7×	22 0.5×	15 0.4×	58	549

Countries citing papers authored by S. Tanimoto

Since Specialization

Citations

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

Fields of papers citing papers by S. Tanimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Tanimoto. A scholar is included among the top collaborators of S. Tanimoto 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. Tanimoto. S. Tanimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Tanimoto, S., et al.. (2015). Computerized writing and reading instruction for students in grades 4–9 with specific learning disabilities affecting written language. Journal of Computer Assisted Learning. 31(6). 671–689. 26 indexed citations

2.

Cinque, Luigi, et al.. (2003). Understanding the page logical structure. 1003–1008. 6 indexed citations

3.

Allen, Randy, et al.. (2002). A parallel algorithm for graph matching and its MasPar implementation. 13–18. 1 indexed citations

4.

Cinque, Luigi, S. Levialdi, Luca Lombardi, & S. Tanimoto. (2002). Segmentation of page images having artifacts of photocopying and scanning. Pattern Recognition. 35(5). 1167–1177. 10 indexed citations

5.

Cinque, Luigi, et al.. (2002). Retrieval of images using rich region descriptions. 1. 899–901. 5 indexed citations

6.

Robinson, Ricky, Dianne Cook, & S. Tanimoto. (2002). Programming agents with visual rules. 13–20. 2 indexed citations

7.

Cinque, Luigi, et al.. (2000). Retrieval of Images using Rich-region Descriptions. Journal of Visual Languages & Computing. 11(3). 303–321. 3 indexed citations

8.

Allen, Randy, et al.. (1997). A parallel algorithm for graph matching and its MasPar implementation. IEEE Transactions on Parallel and Distributed Systems. 8(5). 490–501. 12 indexed citations

9.

Cinque, Luigi, et al.. (1996). An improved algorithm for relational distance graph matching. Pattern Recognition. 29(2). 349–359. 12 indexed citations

10.

Tanimoto, S.. (1986). The case for appropriate architecture. Computer Vision Graphics and Image Processing. 34(1). 116–116. 1 indexed citations

11.

Kent, Ernest W. & S. Tanimoto. (1985). Hierarchical Cellular Logic and the Pipe Processor: Structural and Functional Correspondence. 5 indexed citations

12.

Tanimoto, S.. (1976). Analysis of biomedical images using maximal matching. 171–176. 3 indexed citations

13.

Tanimoto, S. & T. Pavlidis. (1975). A hierarchical data structure for picture processing. Computer Graphics and Image Processing. 4(2). 104–119. 316 indexed citations

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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