David D. Fan

544 total citations
17 papers, 150 citations indexed

About

David D. Fan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, David D. Fan has authored 17 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in David D. Fan's work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (4 papers) and Anomaly Detection Techniques and Applications (3 papers). David D. Fan is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (4 papers) and Anomaly Detection Techniques and Applications (3 papers). David D. Fan collaborates with scholars based in United States, Switzerland and Germany. David D. Fan's co-authors include Ali‐akbar Agha‐mohammadi, Evangelos A. Theodorou, Kyohei Otsu, Joel W. Burdick, Sung-Kyun Kim, Gautam Salhotra, Anushri Dixit, Julian Nubert, Curtis Padgett and Stefan Westberg and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Robotics and Automation Letters and arXiv (Cornell University).

In The Last Decade

David D. Fan

17 papers receiving 143 citations

Peers

David D. Fan
S. Julius Fusic India
Chenyu Yang China
Marek Fišer United States
Andrew J. Davison United Kingdom
Muhammad Fadhil Ginting United States
Giovanni Cioffi Switzerland
Samia Bouchafa France
Riku Murai United Kingdom
Hongkai Zhang China
S. Julius Fusic India
David D. Fan
Citations per year, relative to David D. Fan David D. Fan (= 1×) peers S. Julius Fusic

Countries citing papers authored by David D. Fan

Since Specialization
Citations

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

Fields of papers citing papers by David D. Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. Fan

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Fan. A scholar is included among the top collaborators of David D. Fan 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 D. Fan. David D. Fan 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.
3.
Atha, Deegan, Julian Nubert, David D. Fan, et al.. (2024). RoadRunner—Learning Traversability Estimation for Autonomous Off-Road Driving. 1. 192–212. 18 indexed citations
4.
Fan, David D., et al.. (2024). Low Frequency Sampling in Model Predictive Path Integral Control. IEEE Robotics and Automation Letters. 9(5). 4543–4550. 2 indexed citations
5.
Ginting, Muhammad Fadhil, et al.. (2024). Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments. 7604–7610. 3 indexed citations
6.
7.
Fan, David D., et al.. (2022). PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4338–4343. 8 indexed citations
8.
Shah, Dhruv, et al.. (2022). Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments. 2022 International Conference on Robotics and Automation (ICRA). 4452–4458. 8 indexed citations
9.
Fan, David D., et al.. (2021). Learning Risk-aware Costmaps for Traversability in Challenging Environments. arXiv (Cornell University). 32 indexed citations
10.
Kim, Sung-Kyun, Gautam Salhotra, David D. Fan, et al.. (2021). PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments. Proceedings of the International Conference on Automated Planning and Scheduling. 31. 652–662. 34 indexed citations
11.
Reynolds, Stephen J., et al.. (2021). An Implementation of Simultaneous Localization and Mapping Using Dynamic Field Theory. 2 indexed citations
12.
Fan, David D., et al.. (2020). Schrödinger Approach to Optimal Control of Large-Size Populations. IEEE Transactions on Automatic Control. 66(5). 2372–2378. 5 indexed citations
13.
Fan, David D., et al.. (2020). Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware. 1–8. 11 indexed citations
14.
Fan, David D., et al.. (2017). Stochastic control of systems with control multiplicative noise using second order FBSDEs. 424–431. 1 indexed citations
15.
Fan, David D., Evangelos A. Theodorou, & John Reeder. (2017). Evolving cost functions for model predictive control of multi-agent UAV combat swarms. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 55–56. 6 indexed citations
16.
Fan, David D., et al.. (2017). GPGPU Acceleration using OpenCL for a Spotlight SAR Simulator. 1–5. 4 indexed citations
17.
Fan, David D.. (2015). Implementation of a power efficient synthetic aperture radar back projection algorithm on FPGAs using OpenCL. OhioLink ETD Center (Ohio Library and Information Network). 3 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

Breakdown of academic impact, for papers by S. Julius Fusic Breakdown of academic impact, for papers by Chenyu Yang Breakdown of academic impact, for papers by Marek Fišer Breakdown of academic impact, for papers by Andrew J. Davison Breakdown of academic impact, for papers by Muhammad Fadhil Ginting Breakdown of academic impact, for papers by Giovanni Cioffi Breakdown of academic impact, for papers by Samia Bouchafa Breakdown of academic impact, for papers by Riku Murai Breakdown of academic impact, for papers by Hongkai Zhang
Rankless by CCL
2026