Hiroaki Ueda
About
In The Last Decade
Hiroaki Ueda
319 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 181
- Global and Planetary Change 2.4k
- Condensed Matter Physics 2.1k
- Atmospheric Science 2.1k
- Electronic, Optical and Magnetic Materials 1.9k
- Oceanography 845
Countries citing papers authored by Hiroaki Ueda
This map shows the geographic impact of Hiroaki Ueda'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 Hiroaki Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Ueda more than expected).
Fields of papers citing papers by Hiroaki Ueda
This network shows the impact of papers produced by Hiroaki Ueda. 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 Hiroaki Ueda. The network helps show where Hiroaki Ueda may publish in the future.
Co-authorship network of co-authors of Hiroaki Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Ueda. A scholar is included among the top collaborators of Hiroaki Ueda 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 Hiroaki Ueda. Hiroaki Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 48 | |
| 9 | 55 | |
| 10 | 1 | |
| 11 | Fuzzy Q-Learning with the modified fuzzy ART neural network | 3 |
| 12 | 1 | |
| 13 | 8 | |
| 14 | Copper pyrites CuS2 and CuSe2 as anion conductors | 14 |
| 15 | 19 | |
| 16 | CLINAL GEOGRAPHIC VARIATION IN THE ADVERTISEMENT CALL OF THE WRINKLED FROG, RANA RUGOSA | 22 |
| 17 | Structural Learning Approach to Rule Discovery from Data with Continuous Valued Inputs. | 2 |
| 18 | 1 | |
| 19 | 87 | |
| 20 | 134 |
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.