Steve Tanimoto
- Computer Science Applications top 5%
- Developmental and Educational Psychology top 10%
- Education top 10%
- Information Systems
- Artificial Intelligence
- Co-authors
- Caitlin DuncanTim BellRobert D. AbbottVirginia W. BerningerWilliam E. NagyNathan HartmanRobert ThompsonVirginia Berninger
- Topics
- Teaching and Learning Programming (4 papers)Reading and Literacy Development (3 papers)Innovative Teaching and Learning Methods (2 papers)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyHuman Factors and Ergonomics
- Journals
- Computers & EducationEducation and Information TechnologiesChoice Reviews Online
- Partner nations
- United StatesDenmarkAustralia
In The Last Decade
Steve Tanimoto
13 papers receiving 286 citations
Peers
Comparison fields: 5 of 65
- Computer Science Applications 108
- Developmental and Educational Psychology 106
- Education 84
- Information Systems 41
- Artificial Intelligence 38
Countries citing papers authored by Steve Tanimoto
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 61 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 72 | |
| 7 | 104 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 21 |
About Steve Tanimoto
Steve Tanimoto is a scholar working on Human Factors and Ergonomics, Computer Science Applications and Health Informatics, having authored 13 papers that have together received 301 indexed citations. Recurring topics across this work include Teaching and Learning Programming (4 papers), Reading and Literacy Development (3 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Computer Science Applications (108 citations), Developmental and Educational Psychology (106 citations) and Human Factors and Ergonomics (14 citations). Steve Tanimoto has collaborated with scholars based in United States, Denmark and Australia. Frequent 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. Their work appears in journals such as Computers & Education, Education and Information Technologies and Choice Reviews Online.
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.