Yukino Baba
- Artificial Intelligence top 5%
- Computer Science Applications top 2%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Anesthesiology and Pain Medicine top 10%
- Co-authors
- Hisashi KashimaSatoshi OyamaYuichi YaguchiShinichi KiharaHidenori ToyookaShinichi InomataYukinao KohdaYuko Sakurai
- Topics
- Mobile Crowdsensing and Crowdsourcing (23 papers)Data Stream Mining Techniques (9 papers)Auction Theory and Applications (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yukino Baba
50 papers receiving 480 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 206
- Computer Science Applications 186
- Information Systems 68
- Management Science and Operations Research 65
- Anesthesiology and Pain Medicine 58
Countries citing papers authored by Yukino Baba
This map shows the geographic impact of Yukino 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 Yukino Baba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukino Baba more than expected).
Fields of papers citing papers by Yukino Baba
This network shows the impact of papers produced by Yukino 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 Yukino Baba. The network helps show where Yukino Baba may publish in the future.
Co-authorship network of co-authors of Yukino Baba
This figure shows the co-authorship network connecting the top 25 collaborators of Yukino Baba. A scholar is included among the top collaborators of Yukino Baba 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 Yukino Baba. Yukino Baba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 34 | |
| 5 | Probabilistic Modeling of Peer Correction and Peer Assessment. | 5 |
| 6 | 8 | |
| 7 | 4 | |
| 8 | Assessing translation ability through vocabulary ability assessment | 13 |
| 9 | 20 | |
| 10 | 24 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | Accurate integration of crowdsourced labels using workers' self-reported confidence scores | 33 |
| 15 | 22 | |
| 16 | How Are Spelling Errors Generated and Corrected? A Study of Corrected and Uncorrected Spelling Errors Using Keystroke Logs | 16 |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 32 | |
| 20 | 27 |
About Yukino Baba
Yukino Baba is a scholar working on Computer Science Applications, Artificial Intelligence and Human Factors and Ergonomics, having authored 52 papers that have together received 505 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (23 papers), Data Stream Mining Techniques (9 papers) and Auction Theory and Applications (6 papers). The work is most often cited by research in Computer Science Applications (186 citations), Anesthesiology and Pain Medicine (58 citations) and Developmental Neuroscience (30 citations). Yukino Baba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hisashi Kashima, Hisashi Kashima, Satoshi Oyama, Yuichi Yaguchi, Shinichi Kihara, Hidenori Toyooka, Shinichi Inomata, Yukinao Kohda, Yuko Sakurai and Hisami Suzuki. Their work appears in journals such as Expert Systems with Applications, BMC Bioinformatics and Anesthesia & Analgesia.
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.