David Ha
Impact in
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- Digital Media and Visual Art
- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
Papers in
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- Evolutionary Algorithms and Applications 8
- Domain Adaptation and Few-Shot Learning 2
- Neural Networks and Applications 2
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- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Yujin Tang (2 shared papers)Raphael Gontijo Lopes (1 shared paper)Douglas Eck (1 shared paper)Jonathon Shlens (1 shared paper)Monica Dinculescu (1 shared paper)Judith E. Fan (1 shared paper)Yujin Tang (1 shared paper)Eric Medvet (1 shared paper)
- Journals
- Nature Machine Intelligence (1 paper)Nature (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)IEEE Winter Conference on Applications of Computer Vision (1 paper)IEEE Conference on Games (CoG) (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
David Ha
15 papers receiving 276 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 37
- Computer Vision and Pattern Recognition 104
- Human-Computer Interaction 23
- Artificial Intelligence 97
- History and Philosophy of Science 15
Countries citing papers authored by David Ha
This map shows the geographic impact of David Ha'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 David Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ha more than expected).
Fields of papers citing papers by David Ha
This network shows the impact of papers produced by David Ha. 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 David Ha. The network helps show where David Ha may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2022 | 49 | |
| 3 | 2019 | 48 | |
| 4 | 2022 | 23 | |
| 5 | 2026 | 20 | |
| 6 | 2025 | 19 | |
| 7 | 2022 | 15 | |
| 8 | 2016 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 5 | |
| 11 | Enforced Subpopulations (ESP) neuroevolution algorithm for balancing inverted double pendulum | 2015 | 3 |
| 12 | 2018 | 2 | |
| 13 | detecting device orientation | 2014 | 1 |
| 14 | 2019 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2026 | 0 | |
| 17 | 2026 | 0 |
About David Ha
David Ha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems and Management and Statistical and Nonlinear Physics, having authored 17 papers that have together received 287 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (8 papers), Domain Adaptation and Few-Shot Learning (2 papers), Neural Networks and Applications (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Scientific Computing and Data Management (1 paper), Inertial Sensor and Navigation (1 paper), Usability and User Interface Design (1 paper) and Complex Systems and Dynamics (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (37 citations), Computer Vision and Pattern Recognition (104 citations), Human-Computer Interaction (23 citations), Artificial Intelligence (97 citations) and History and Philosophy of Science (15 citations). David Ha has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Yujin Tang, Raphael Gontijo Lopes, Douglas Eck, Jonathon Shlens, Monica Dinculescu, Judith E. Fan, Yujin Tang, Eric Medvet, Jakob Foerster and Jeff Clune. Their work appears in journals such as Nature Machine Intelligence, Nature, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, IEEE Winter Conference on Applications of Computer Vision and IEEE Conference on Games (CoG).
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.