Seiji Yamada
About
In The Last Decade
Seiji Yamada
179 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Social Psychology 576
- Artificial Intelligence 565
- Computer Vision and Pattern Recognition 254
- Control and Systems Engineering 191
- Cognitive Neuroscience 191
Countries citing papers authored by Seiji Yamada
This map shows the geographic impact of Seiji Yamada'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 Seiji Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Yamada more than expected).
Fields of papers citing papers by Seiji Yamada
This network shows the impact of papers produced by Seiji Yamada. 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 Seiji Yamada. The network helps show where Seiji Yamada may publish in the future.
Co-authorship network of co-authors of Seiji Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Yamada. A scholar is included among the top collaborators of Seiji Yamada 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 Seiji Yamada. Seiji Yamada 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | Investigating Ways of Interpretations of Artificial Subtle Expressions Among Different Languages: A Case of Comparison Among Japanese, German, Portuguese and Mandarin Chinese. | 2 |
| 7 | Adaptation gap hypothesis: How differences between users’ expected and perceived agent functions affect their subjective impression | 18 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Eye-tracking Analysis of User Behaviors in Document Similarity Judgment | 1 |
| 11 | Non-humanlike Spoken Dialogue: A Design Perspective | 14 |
| 12 | Rebo: A life-like universal remote control | 0 |
| 13 | 1 | |
| 14 | An Adaptive, Emotional, and Expressive Reminding System. | 4 |
| 15 | Non-relevance Feedback Document Retrieval using Large Data Set | 3 |
| 16 | The Ginis Framework: Interaction-Based Evaluation of Web Pages. | 1 |
| 17 | 15 | |
| 18 | 適応としてのHAI( HAI : ヒューマンエージェントインタラクション) | 1 |
| 19 | Evolutionary design of behaviors for Action-Based Environment Modeling by a mobile robot | 4 |
| 20 | Computing the Utility of EBL in a Logic Programming Environment | 1 |
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.