Kotaro Hara
- Computer Science Applications top 1%
- Transportation top 2%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Jon E. FroehlichJeffrey P. BighamKristy MillandChris Callison-BurchAbigail AdamsSaiph SavageRobert J. MooreDavid Jacobs
- Topics
- Mobile Crowdsensing and Crowdsourcing (16 papers)Tactile and Sensory Interactions (11 papers)Human Mobility and Location-Based Analysis (6 papers)
- Journals
- The Review of Economics and StatisticsACM Transactions on Computer-Human Interactioninteractions
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Kotaro Hara
38 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Science Applications 281
- Transportation 212
- Sociology and Political Science 199
- Computer Vision and Pattern Recognition 194
- Cognitive Neuroscience 193
Countries citing papers authored by Kotaro Hara
This map shows the geographic impact of Kotaro Hara'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 Kotaro Hara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kotaro Hara more than expected).
Fields of papers citing papers by Kotaro Hara
This network shows the impact of papers produced by Kotaro Hara. 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 Kotaro Hara. The network helps show where Kotaro Hara may publish in the future.
Co-authorship network of co-authors of Kotaro Hara
This figure shows the co-authorship network connecting the top 25 collaborators of Kotaro Hara. A scholar is included among the top collaborators of Kotaro Hara 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 Kotaro Hara. Kotaro Hara 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 | 12 | |
| 3 | 1 | |
| 4 | How people prompt generative AI to create interactive VR scenes | 7 |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 42 | |
| 12 | 26 | |
| 13 | 43 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 78 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 25 |
About Kotaro Hara
Kotaro Hara is a scholar working on Computer Science Applications, Human-Computer Interaction and Transportation, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (16 papers), Tactile and Sensory Interactions (11 papers) and Human Mobility and Location-Based Analysis (6 papers). The work is most often cited by research in Computer Science Applications (281 citations), Transportation (212 citations) and Human-Computer Interaction (146 citations). Kotaro Hara has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Jon E. Froehlich, Jeffrey P. Bigham, Kristy Milland, Chris Callison-Burch, Abigail Adams, Saiph Savage, Robert J. Moore, David Jacobs, Megan Campbell and Cynthia L. Bennett. Their work appears in journals such as The Review of Economics and Statistics, ACM Transactions on Computer-Human Interaction and interactions.
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.