Akira Tajima
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Co-authors
- Yukihiro TagamiShingo OnoKoji TsukamotoMikihisa SaitoHiroshi TaguchiHideki MotoyamaTakatoshi ShindoMasaru Ishii
- Topics
- Web Data Mining and Analysis (7 papers)Expert finding and Q&A systems (4 papers)Topic Modeling (4 papers)
- Journals
- IEICE Transactions on Information and SystemsData Science and EngineeringJournal of the Operations Research Society of Japan
- Partner nations
- JapanUnited States
In The Last Decade
Akira Tajima
19 papers receiving 361 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Information Systems 286
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 91
- Management Science and Operations Research 41
- Computer Networks and Communications 35
Countries citing papers authored by Akira Tajima
This map shows the geographic impact of Akira Tajima'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 Akira Tajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Tajima more than expected).
Fields of papers citing papers by Akira Tajima
This network shows the impact of papers produced by Akira Tajima. 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 Akira Tajima. The network helps show where Akira Tajima may publish in the future.
Co-authorship network of co-authors of Akira Tajima
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Tajima. A scholar is included among the top collaborators of Akira Tajima 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 Akira Tajima. Akira Tajima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | Embedding-based News Recommendation for Millions of Usersbreakdown → | 284 |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 26 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | Computational investigations of the optimality of two- and three-dimensional triangulations under several criteria. | 1 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 5 |
About Akira Tajima
Akira Tajima is a scholar working on Information Systems, Numerical Analysis and Human-Computer Interaction, having authored 23 papers that have together received 399 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Expert finding and Q&A systems (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Information Systems (286 citations), Artificial Intelligence (239 citations) and Computational Mathematics (4 citations). Akira Tajima has collaborated with scholars based in Japan and United States. Frequent co-authors include Yukihiro Tagami, Shingo Ono, Koji Tsukamoto, Mikihisa Saito, Hiroshi Taguchi, Hideki Motoyama, Takatoshi Shindo, Masaru Ishii, Kenji Omasa and Syoiti Ninomiya. Their work appears in journals such as IEICE Transactions on Information and Systems, Data Science and Engineering and Journal of the Operations Research Society of Japan.
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.