Mayu Iwata
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
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- Web Data Mining and Analysis 8
- Recommender Systems and Techniques 7
- Information Retrieval and Search Behavior 5
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- Privacy-Preserving Technologies in Data 5
- Co-authors
- Takahiro Hara (14 shared papers)Yuki Arase (7 shared papers)Xing Xie (5 shared papers)Shojiro Nishio (15 shared papers)Ryo Kato (2 shared papers)Takehiro Yamamoto (7 shared papers)Tetsuya Sakai (7 shared papers)Makoto P. Kato (4 shared papers)
- Journals
- Personal and Ubiquitous Computing (1 paper)IEEE Access (1 paper)Lecture notes in computer science (2 papers)Clinical and Experimental Nephrology (1 paper)International Journal of Web Information Systems (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Mayu Iwata
23 papers receiving 295 citations
Peers
Comparison fields: 5 of 48
- Computer Science Applications 63
- Transportation 65
- Artificial Intelligence 212
- Information Systems 68
- Sociology and Political Science 111
Countries citing papers authored by Mayu Iwata
This map shows the geographic impact of Mayu Iwata'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 Mayu Iwata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayu Iwata more than expected).
Fields of papers citing papers by Mayu Iwata
This network shows the impact of papers produced by Mayu Iwata. 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 Mayu Iwata. The network helps show where Mayu Iwata may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayu Iwata, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 81 | |
| 2 | 2012 | 59 | |
| 3 | 2010 | 44 | |
| 4 | 2013 | 18 | |
| 5 | 2012 | 15 | |
| 6 | 2013 | 11 | |
| 7 | 2012 | 10 | |
| 8 | Overview of the NTCIR-10 1CLICK-2 Task. | 2013 | 9 |
| 9 | 2012 | 9 | |
| 10 | 2012 | 9 | |
| 11 | 2012 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2011 | 6 | |
| 14 | 2013 | 5 | |
| 15 | 2010 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2011 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 2014 | 2 | |
| 20 | Human Activity Recognition for Content Searching Using a Smartphone | 2012 | 1 |
About Mayu Iwata
Mayu Iwata is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition and Signal Processing, having authored 23 papers that have together received 314 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (8 papers), Recommender Systems and Techniques (7 papers), Context-Aware Activity Recognition Systems (5 papers), Information Retrieval and Search Behavior (5 papers), Data Management and Algorithms (5 papers), Privacy-Preserving Technologies in Data (5 papers), Privacy, Security, and Data Protection (4 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Computer Science Applications (63 citations), Transportation (65 citations), Artificial Intelligence (212 citations), Information Systems (68 citations) and Sociology and Political Science (111 citations). Mayu Iwata has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Takahiro Hara, Yuki Arase, Xing Xie, Shojiro Nishio, Ryo Kato, Takehiro Yamamoto, Tetsuya Sakai, Makoto P. Kato, Haruo Takemura and Kiyoshi Kiyokawa. Their work appears in journals such as Personal and Ubiquitous Computing, IEEE Access, Lecture notes in computer science, Clinical and Experimental Nephrology and International Journal of Web Information Systems.
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.