David Ha

1.9k total citations
17 papers, 234 citations indexed

About

David Ha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, David Ha has authored 17 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Mechanical Engineering. Recurrent topics in David Ha's work include Reinforcement Learning in Robotics (5 papers), Evolutionary Algorithms and Applications (5 papers) and Modular Robots and Swarm Intelligence (4 papers). David Ha is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Evolutionary Algorithms and Applications (5 papers) and Modular Robots and Swarm Intelligence (4 papers). David Ha collaborates with scholars based in United States, South Korea and Germany. David Ha's co-authors include Yujin Tang, Ian Fischer, Timothy Lillicrap, Danijar Hafner, Ruben Villegas, James Davidson, Honglak Lee, Monica Dinculescu, Judith E. Fan and Yujin Tang and has published in prestigious journals such as Nano Energy, ChemSusChem and Nature Machine Intelligence.

In The Last Decade

David Ha

16 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Ha United States 6 121 61 42 32 24 17 234
Dylan Hadfield-Menell United States 9 167 1.4× 78 1.3× 94 2.2× 11 0.3× 17 0.7× 23 297
Berat A. Erol United States 11 84 0.7× 76 1.2× 35 0.8× 26 0.8× 19 0.8× 17 258
Tatiana Baidyk Mexico 9 118 1.0× 96 1.6× 14 0.3× 41 1.3× 12 0.5× 21 308
Konstantinos Chatzilygeroudis Greece 10 211 1.7× 61 1.0× 166 4.0× 46 1.4× 15 0.6× 26 384
Jin Yu China 10 268 2.2× 74 1.2× 12 0.3× 15 0.5× 8 0.3× 24 412
Travis Dick United States 9 91 0.8× 25 0.4× 24 0.6× 13 0.4× 18 0.8× 21 188
Rebeca Marfil Spain 10 76 0.6× 158 2.6× 49 1.2× 22 0.7× 15 0.6× 46 288
Bernd Kleinjohann Germany 10 86 0.7× 112 1.8× 37 0.9× 20 0.6× 16 0.7× 64 331
Zhanpeng He United States 7 78 0.6× 52 0.9× 70 1.7× 15 0.5× 6 0.3× 18 181

Countries citing papers authored by David Ha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Ha

This figure shows the co-authorship network connecting the top 25 collaborators of David Ha. A scholar is included among the top collaborators of David Ha 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 David Ha. David Ha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Ha, David, et al.. (2025). Evolutionary optimization of model merging recipes. Nature Machine Intelligence. 7(2). 195–204. 2 indexed citations
3.
Ha, David, et al.. (2025). Multi‐Bridged Lewis‐Functionalized Self‐Assembled Monolayers for Enhanced Interfacial Affinity in Perovskite Photoelectric Sensors. ChemSusChem. 18(11). e202500061–e202500061. 1 indexed citations
4.
Tang, Yujin, et al.. (2022). Evolving modular soft robots without explicit inter-module communication using local self-attention. Proceedings of the Genetic and Evolutionary Computation Conference. 148–157. 17 indexed citations
5.
Tang, Yujin, Yingtao Tian, & David Ha. (2022). EvoJAX. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 308–311. 12 indexed citations
6.
Ha, David & Yujin Tang. (2022). Collective intelligence for deep learning: A survey of recent developments. 1(1). 40 indexed citations
7.
Lamb, Alex, Sherjil Ozair, Vikas Verma, & David Ha. (2020). SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. 17. 952–961. 5 indexed citations
8.
Ha, David. (2020). Neuroevolution for deep reinforcement learning problems. 404–427. 1 indexed citations
9.
Ha, David, et al.. (2019). Learning to Predict Without Looking Ahead: World Models Without Forward Prediction. arXiv (Cornell University). 32. 5379–5390. 1 indexed citations
10.
Fan, Judith E., Monica Dinculescu, & David Ha. (2019). collabdraw. 556–561. 36 indexed citations
11.
Ha, David. (2019). Neuroevolution for deep reinforcement learning problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 550–593. 1 indexed citations
12.
Jaques, Natasha, et al.. (2018). Learning via social awareness: improving sketch representations with facial feedback. arXiv (Cornell University). 2 indexed citations
13.
Ha, David. (2018). Neuroevolution for deep reinforcement learning problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 421–431. 2 indexed citations
14.
Hafner, Danijar, Timothy Lillicrap, Ian Fischer, et al.. (2018). Learning Latent Dynamics for Planning from Pixels. arXiv (Cornell University). 2555–2565. 99 indexed citations
15.
Carter, Shan, David Ha, Ian Johnson, & Chris Olah. (2016). Experiments in Handwriting with a Neural Network. 1(12). 6 indexed citations
16.
Ha, David. (2015). Enforced Subpopulations (ESP) neuroevolution algorithm for balancing inverted double pendulum. 3 indexed citations
17.
Ha, David. (2014). detecting device orientation. 1 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.

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