Steve Tanimoto

463 total citations
13 papers, 301 citations indexed

About

Steve Tanimoto is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Experimental and Cognitive Psychology. According to data from OpenAlex, Steve Tanimoto has authored 13 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Developmental and Educational Psychology, 4 papers in Computer Science Applications and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Steve Tanimoto's work include Teaching and Learning Programming (4 papers), Reading and Literacy Development (3 papers) and Innovative Teaching and Learning Methods (2 papers). Steve Tanimoto is often cited by papers focused on Teaching and Learning Programming (4 papers), Reading and Literacy Development (3 papers) and Innovative Teaching and Learning Methods (2 papers). Steve Tanimoto collaborates with scholars based in United States, Denmark and Australia. Steve Tanimoto's co-authors include Caitlin Duncan, Tim Bell, Robert D. Abbott, Virginia W. Berninger, William E. Nagy, Nathan Hartman, Robert Thompson, Virginia Berninger, K. Kawena Begay and Chris McDonald and has published in prestigious journals such as Computers & Education, Education and Information Technologies and Choice Reviews Online.

In The Last Decade

Steve Tanimoto

13 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Tanimoto United States 7 108 106 84 41 38 13 301
Sayamindu Dasgupta United States 12 152 1.4× 58 0.5× 49 0.6× 63 1.5× 40 1.1× 25 297
Janne Fagerlund Finland 7 188 1.7× 122 1.2× 56 0.7× 56 1.4× 38 1.0× 12 301
Gwo Dong Chen Taiwan 9 108 1.0× 103 1.0× 118 1.4× 75 1.8× 135 3.6× 20 391
Shinobu Hasegawa Japan 8 68 0.6× 66 0.6× 51 0.6× 66 1.6× 36 0.9× 74 218
Leônidas de Oliveira Brandão Brazil 9 114 1.1× 65 0.6× 55 0.7× 46 1.1× 35 0.9× 53 272
Akihiro Kashihara Japan 8 95 0.9× 86 0.8× 35 0.4× 51 1.2× 91 2.4× 83 247
Pablo A. Haya Spain 11 80 0.7× 79 0.7× 98 1.2× 72 1.8× 21 0.6× 41 310
Daniel López-Fernández Spain 11 158 1.5× 175 1.7× 120 1.4× 96 2.3× 30 0.8× 44 406
Mariluz Guenaga Spain 10 227 2.1× 147 1.4× 83 1.0× 78 1.9× 24 0.6× 44 442
Gonzalo Parra Belgium 6 237 2.2× 108 1.0× 111 1.3× 67 1.6× 90 2.4× 16 390

Countries citing papers authored by Steve Tanimoto

Since Specialization
Citations

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

Fields of papers citing papers by Steve Tanimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Tanimoto

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

All Works

13 of 13 papers shown
1.
Tanimoto, Steve. (2023). Five Futures with AI Coding Agents. 32–38. 2 indexed citations
2.
Tanimoto, Steve, et al.. (2023). The Creativity Game: A Game for Teaching First Steps of Theoretical Creativity. Creativity and Cognition. 274–281. 1 indexed citations
3.
Tanimoto, Steve, et al.. (2023). Designing Participatory AI: Creative Professionals’ Worries and Expectations about Generative AI. IT University Of Copenhagen (IT University of Copenhagen). 1–8. 61 indexed citations
4.
Thompson, Robert, Steve Tanimoto, K. Kawena Begay, et al.. (2017). Effective instruction for persisting dyslexia in upper grades: Adding hope stories and computer coding to explicit literacy instruction. Education and Information Technologies. 23(3). 1043–1068. 8 indexed citations
6.
Berninger, Virginia W., et al.. (2014). Computer instruction in handwriting, spelling, and composing for students with specific learning disabilities in grades 4–9. Computers & Education. 81. 154–168. 72 indexed citations
7.
Duncan, Caitlin, Tim Bell, & Steve Tanimoto. (2014). Should your 8-year-old learn coding?. 60–69. 104 indexed citations
8.
Tanimoto, Steve. (2013). An interdisciplinary introduction to image processing: pixels, numbers, and programs. Choice Reviews Online. 50(5). 50–2706. 6 indexed citations
9.
Tanimoto, Steve, et al.. (2007). A Framework for Automated Diagram Assessment in Online Learning. 51–53. 2 indexed citations
10.
Tanimoto, Steve, et al.. (2007). Snapshots: Capturing Dynamics of Student Sketches. 73–76. 12 indexed citations
11.
Laird, John E., et al.. (2002). Mathematics preparation for undergraduate degrees in computer science. ACM SIGCSE Bulletin. 34(1). 98–99. 1 indexed citations
12.
Laird, John E., et al.. (2002). Mathematics preparation for undergraduate degrees in computer science. 98–99. 3 indexed citations
13.
Hartman, Nathan & Steve Tanimoto. (1984). A hexagonal pyramid data structure for image processing. IEEE Transactions on Systems Man and Cybernetics. SMC-14(2). 247–256. 21 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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