Jun Baba
Impact in
- Social Psychology top 5%
- Social Robot Interaction and HRI
- Artificial Intelligence top 5%
- AI in Service Interactions
Papers in
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- Social Robot Interaction and HRI 36
-
- AI in Service Interactions 26
- Co-authors
- Yuichiro Yoshikawa (34 shared papers)Junya Nakanishi (35 shared papers)Hiroshi Ishiguro (32 shared papers)Kohei Ogawa (9 shared papers)Sichao Song (14 shared papers)Zhaojie Luo (2 shared papers)Takuya Iwamoto (5 shared papers)Takanori Maehara (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (4 papers)Advanced Robotics (3 papers)International Journal of Social Robotics (2 papers)Proceedings of the ACM on Human-Computer Interaction (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Jun Baba
39 papers receiving 327 citations
Peers
Comparison fields: 5 of 63
- Social Psychology 213
- Artificial Intelligence 214
- Human-Computer Interaction 36
- Marketing 26
- Experimental and Cognitive Psychology 34
Countries citing papers authored by Jun Baba
This map shows the geographic impact of Jun Baba'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 Baba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Baba more than expected).
Fields of papers citing papers by Jun Baba
This network shows the impact of papers produced by Jun Baba. 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 Baba. The network helps show where Jun Baba may publish in the future.
Co-authors
The 23 scholars most cited alongside Jun Baba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2018 | 28 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 18 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 7 |
About Jun Baba
Jun Baba is a scholar working on Social Psychology, Artificial Intelligence, Control and Systems Engineering, Sociology and Political Science and Human-Computer Interaction, having authored 50 papers that have together received 346 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (36 papers), AI in Service Interactions (26 papers), Robotics and Automated Systems (12 papers), Psychology of Social Influence (5 papers), Virtual Reality Applications and Impacts (3 papers), Emotion and Mood Recognition (3 papers), Innovative Human-Technology Interaction (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Social Psychology (213 citations), Artificial Intelligence (214 citations), Human-Computer Interaction (36 citations), Marketing (26 citations) and Experimental and Cognitive Psychology (34 citations). Jun Baba has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yuichiro Yoshikawa, Junya Nakanishi, Hiroshi Ishiguro, Kohei Ogawa, Sichao Song, Zhaojie Luo, Takuya Iwamoto, Takanori Maehara, Guoshun Nan and Rui Liu. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Robotics, International Journal of Social Robotics, Proceedings of the ACM on Human-Computer Interaction and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.