Kotaro Hara

1.7k total citations · 1 hit paper
41 papers, 1.1k citations indexed

About

Kotaro Hara is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Kotaro Hara has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Science Applications, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Cognitive Neuroscience. Recurrent topics in Kotaro Hara's work include Mobile Crowdsensing and Crowdsourcing (16 papers), Tactile and Sensory Interactions (11 papers) and Human Mobility and Location-Based Analysis (6 papers). Kotaro Hara is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (16 papers), Tactile and Sensory Interactions (11 papers) and Human Mobility and Location-Based Analysis (6 papers). Kotaro Hara collaborates with scholars based in United States, Singapore and United Kingdom. Kotaro Hara's co-authors include Jon E. Froehlich, Jeffrey P. Bigham, Kristy Milland, Chris Callison-Burch, Saiph Savage, Abigail Adams, Robert J. Moore, David Jacobs, Shiri Azenkot and Cynthia L. Bennett and has published in prestigious journals such as The Review of Economics and Statistics, ACM Transactions on Computer-Human Interaction and interactions.

In The Last Decade

Kotaro Hara

38 papers receiving 1.1k citations

Hit Papers

A Data-Driven Analysis of Workers' Earnings on Amazon Mec... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kotaro Hara United States 16 281 212 199 194 193 41 1.1k
Silvia Mirri Italy 24 300 1.1× 237 1.1× 178 0.9× 326 1.7× 156 0.8× 147 1.7k
Catia Prandi Italy 25 254 0.9× 307 1.4× 206 1.0× 292 1.5× 134 0.7× 125 1.7k
Paola Salomoni Italy 27 338 1.2× 275 1.3× 226 1.1× 377 1.9× 157 0.8× 134 1.9k
Sunyoung Kim United States 21 200 0.7× 87 0.4× 120 0.6× 180 0.9× 64 0.3× 93 1.4k
Eiman Kanjo United Kingdom 18 152 0.5× 135 0.6× 361 1.8× 182 0.9× 222 1.2× 68 1.5k
Henriette Cramer United States 19 149 0.5× 182 0.9× 384 1.9× 155 0.8× 132 0.7× 78 1.6k
Christian Kray Germany 21 84 0.3× 139 0.7× 142 0.7× 428 2.2× 186 1.0× 117 1.6k
Martin Tomitsch Australia 23 95 0.3× 116 0.5× 179 0.9× 392 2.0× 242 1.3× 127 1.8k
Shin’ichi Konomi Japan 14 241 0.9× 80 0.4× 82 0.4× 383 2.0× 118 0.6× 105 1.2k
Andrew May United Kingdom 18 82 0.3× 201 0.9× 146 0.7× 98 0.5× 49 0.3× 74 1.2k

Countries citing papers authored by Kotaro Hara

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Cai, Shaojun, Ashwin Ram, Y. Chen, et al.. (2024). Navigating Real-World Challenges: A Quadruped Robot Guiding System for Visually Impaired People in Diverse Environments. 1–18. 12 indexed citations
2.
Murakami, Taichi, Kazuyuki Fujita, Kotaro Hara, Kazuki Takashima, & Yoshifumi Kitamura. (2024). SwapVid: Integrating Video Viewing and Document Exploration with Direct Manipulation. 1–13.
3.
Hara, Kotaro, et al.. (2024). Exploring Conversations between a Practitioner and a Person with Dementia. 1–5. 1 indexed citations
4.
Hara, Kotaro, et al.. (2024). How people prompt generative AI to create interactive VR scenes. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 7 indexed citations
5.
Kacorri, Hernisa, et al.. (2023). Supporting Novices Author Audio Descriptions via Automatic Feedback. PubMed. 2023. 1–18. 7 indexed citations
6.
Makány, Tamás, et al.. (2023). Beyond Anthropomorphism: Unraveling the True Priorities of Chatbot Usage in SMEs. 1–5. 4 indexed citations
7.
Kacorri, Hernisa, et al.. (2021). Uncovering Patterns in Reviewers’ Feedback to Scene Description Authors. PubMed. 93. 1–4. 7 indexed citations
9.
Liu, Can, et al.. (2020). Commanding and Re-Dictation. ACM Transactions on Computer-Human Interaction. 27(4). 1–31. 18 indexed citations
10.
Froehlich, Jon E., Anke Brock, Anat Caspi, et al.. (2019). Grand challenges in accessible maps. interactions. 26(2). 78–81. 42 indexed citations
11.
Dash, Aditya Prasad, et al.. (2019). Project Sidewalk. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1–14. 101 indexed citations
12.
Carrington, Patrick, et al.. (2018). Vocal Programming for People with Upper-Body Motor Impairments. 1–10. 15 indexed citations
13.
Saito, Susumu, et al.. (2018). Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Workers. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 6. 70–78. 43 indexed citations
14.
Hara, Kotaro, et al.. (2017). A Pilot Deployment of an Online Tool for Large-Scale Virtual Auditing of Urban Accessibility. 305–306. 9 indexed citations
15.
Hara, Kotaro, Shiri Azenkot, Megan Campbell, et al.. (2015). Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View: An Extended Analysis. ACM Transactions on Accessible Computing. 6(2). 1–23. 78 indexed citations
16.
Hara, Kotaro, Mohammad Taghi Hajiaghayi, & Benjamin B. Bederson. (2015). FluTCHA. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 43–44. 1 indexed citations
17.
Vaish, Rajan, Peter Organisciak, Kotaro Hara, Jeffrey P. Bigham, & Haoqi Zhang. (2014). Low Effort Crowdsourcing: Leveraging Peripheral Attention for Crowd Work. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 2. 62–63. 1 indexed citations
18.
Hara, Kotaro. (2014). Scalable methods to collect and visualize sidewalk accessibility data for people with mobility impairments. Digital Repository at the University of Maryland (University of Maryland College Park). 1–4. 8 indexed citations
19.
Hara, Kotaro, et al.. (2013). An Initial Study of Automatic Curb Ramp Detection with Crowdsourced Verification Using Google Street View Images. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 32–33. 9 indexed citations
20.
Hara, Kotaro, et al.. (2012). A feasibility study of crowdsourcing and google street view to determine sidewalk accessibility. 273–274. 25 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026