Jun'ichi Tsujii
About
In The Last Decade
Jun'ichi Tsujii
7 papers receiving 333 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 255
- Artificial Intelligence 214
- Computational Theory and Mathematics 24
- Genetics 17
- Information Systems 14
Countries citing papers authored by Jun'ichi Tsujii
This map shows the geographic impact of Jun'ichi Tsujii'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 Jun'ichi Tsujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun'ichi Tsujii more than expected).
Fields of papers citing papers by Jun'ichi Tsujii
This network shows the impact of papers produced by Jun'ichi Tsujii. 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 Jun'ichi Tsujii. The network helps show where Jun'ichi Tsujii may publish in the future.
Co-authorship network of co-authors of Jun'ichi Tsujii
This figure shows the co-authorship network connecting the top 25 collaborators of Jun'ichi Tsujii. A scholar is included among the top collaborators of Jun'ichi Tsujii 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 Jun'ichi Tsujii. Jun'ichi Tsujii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 36 | |
| 3 | 25 | |
| 4 | 236 | |
| 5 | 1 | |
| 6 | 52 | |
| 7 | 12 |
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.