Kay Uchiyama
About
In The Last Decade
Kay Uchiyama
6 papers receiving 219 citations
Peers
Comparison fields: 5 of 67
- Education 236
- Media Technology 35
- Information Systems and Management 34
- Developmental and Educational Psychology 31
- Information Systems 24
Countries citing papers authored by Kay Uchiyama
This map shows the geographic impact of Kay Uchiyama'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 Kay Uchiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Uchiyama more than expected).
Fields of papers citing papers by Kay Uchiyama
This network shows the impact of papers produced by Kay Uchiyama. 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 Kay Uchiyama. The network helps show where Kay Uchiyama may publish in the future.
Co-authorship network of co-authors of Kay Uchiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Kay Uchiyama. A scholar is included among the top collaborators of Kay Uchiyama 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 Kay Uchiyama. Kay Uchiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 133 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 49 | |
| 5 | The Best Way To Lead Them. | 7 |
| 6 | 70 |
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.