David Isele

1.0k total citations
37 papers, 280 citations indexed

About

David Isele is a scholar working on Automotive Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Isele has authored 37 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Automotive Engineering, 18 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Isele's work include Autonomous Vehicle Technology and Safety (13 papers), Robotic Path Planning Algorithms (11 papers) and Reinforcement Learning in Robotics (11 papers). David Isele is often cited by papers focused on Autonomous Vehicle Technology and Safety (13 papers), Robotic Path Planning Algorithms (11 papers) and Reinforcement Learning in Robotics (11 papers). David Isele collaborates with scholars based in United States, Japan and South Korea. David Isele's co-authors include Kikuo Fujimura, Eric Eaton, Sangjae Bae, Mohammad Rostami, Mykel J. Kochenderfer, Jiachen Li, Liting Sun, Keuntaek Lee, Evangelos A. Theodorou and Alireza Nakhaei and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics.

In The Last Decade

David Isele

32 papers receiving 270 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 Isele United States 10 131 106 83 80 16 37 280
Zhenghao Peng United States 5 93 0.7× 98 0.9× 56 0.7× 109 1.4× 36 2.3× 11 264
Mingyu Wang United States 7 75 0.6× 118 1.1× 98 1.2× 96 1.2× 11 0.7× 11 253
Yangang Ren China 9 128 1.0× 133 1.3× 138 1.7× 47 0.6× 34 2.1× 15 323
Shalin Mehta United States 2 57 0.4× 189 1.8× 84 1.0× 77 1.0× 44 2.8× 5 295
Aurick Zhou United States 6 196 1.5× 103 1.0× 87 1.0× 95 1.2× 22 1.4× 8 364
Jilles Dibangoye France 9 124 0.9× 54 0.5× 48 0.6× 35 0.4× 29 1.8× 21 246
Moritz Klischat Germany 9 72 0.5× 175 1.7× 109 1.3× 66 0.8× 28 1.8× 11 298
Negar Mehr United States 9 51 0.4× 54 0.5× 111 1.3× 42 0.5× 21 1.3× 38 216
David Fridovich-Keil United States 8 64 0.5× 42 0.4× 116 1.4× 47 0.6× 81 5.1× 33 277

Countries citing papers authored by David Isele

Since Specialization
Citations

This map shows the geographic impact of David Isele'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 Isele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Isele more than expected).

Fields of papers citing papers by David Isele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Isele. 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 Isele. The network helps show where David Isele may publish in the future.

Co-authorship network of co-authors of David Isele

This figure shows the co-authorship network connecting the top 25 collaborators of David Isele. A scholar is included among the top collaborators of David Isele 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 Isele. David Isele 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
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Li, Jiachen, et al.. (2024). Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. IEEE Robotics and Automation Letters. 10(2). 1553–1560. 1 indexed citations
6.
Li, Jiachen, et al.. (2024). Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Transactions on Robotics. 40. 2932–2949. 5 indexed citations
7.
Arief, Mansur, et al.. (2024). Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. IEEE Robotics and Automation Letters. 10(2). 1098–1105. 1 indexed citations
8.
Isele, David, Piyush Gupta, Xinyi Liu, & Sangjae Bae. (2024). Gaussian Lane Keeping: A Robust Prediction Baseline. 3680–3687. 1 indexed citations
9.
Gupta, Piyush, David Isele, & Sangjae Bae. (2024). Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. 2735–2742. 4 indexed citations
10.
Isele, David, et al.. (2023). RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. 3950–3957. 6 indexed citations
11.
Li, Jiachen, et al.. (2023). Robust Driving Policy Learning with Guided Meta Reinforcement Learning. 4114–4120. 5 indexed citations
12.
Lee, Keuntaek, David Isele, Evangelos A. Theodorou, & Sangjae Bae. (2022). Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 32. 7635–7642. 1 indexed citations
13.
Bae, Sangjae, David Isele, Alireza Nakhaei, et al.. (2022). Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks. IEEE Transactions on Control Systems Technology. 31(2). 646–659. 20 indexed citations
14.
Tian, Ran, Liting Sun, Masayoshi Tomizuka, & David Isele. (2021). Anytime Game-Theoretic Planning with Active Reasoning About Humans’ Latent States for Human-Centered Robots. 4509–4515. 19 indexed citations
15.
Yang, Jiachen, Alireza Nakhaei, David Isele, Kikuo Fujimura, & Hongyuan Zha. (2020). CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. 10 indexed citations
16.
Rostami, Mohammad, David Isele, & Eric Eaton. (2020). Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. Journal of Artificial Intelligence Research. 67. 673–704. 11 indexed citations
17.
Cui, Yuchen, David Isele, Scott Niekum, & Kikuo Fujimura. (2019). Uncertainty-Aware Data Aggregation for Deep Imitation Learning. 761–767. 14 indexed citations
18.
Perdue, Gabriel, et al.. (2017). Vertex reconstruction of neutrino interactions using deep learning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2275–2281. 6 indexed citations
19.
Isele, David, et al.. (2016). Lifelong learning for disturbance rejection on mobile robots. 10. 3993–3998. 7 indexed citations
20.
Black, J. L., et al.. (1976). A versatile averaging system for neurophysiology. Computers in Biology and Medicine. 6(1). 9–21. 6 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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