Charles Dawson

656 total citations · 1 hit paper
21 papers, 354 citations indexed

About

Charles Dawson is a scholar working on Artificial Intelligence, Control and Systems Engineering and Sociology and Political Science. According to data from OpenAlex, Charles Dawson has authored 21 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 3 papers in Sociology and Political Science. Recurrent topics in Charles Dawson's work include Advanced Control Systems Optimization (4 papers), Reinforcement Learning in Robotics (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Charles Dawson is often cited by papers focused on Advanced Control Systems Optimization (4 papers), Reinforcement Learning in Robotics (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Charles Dawson collaborates with scholars based in United States, United Kingdom and China. Charles Dawson's co-authors include Chuchu Fan, Sicun Gao, Vincent Guilamo‐Ramos, Ronald W. Toseland, Philip McCallion, Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy and Kunal Garg and has published in prestigious journals such as The Journal of Organic Chemistry, International Journal of Pharmaceutics and International Journal for Numerical Methods in Engineering.

In The Last Decade

Charles Dawson

19 papers receiving 340 citations

Hit Papers

Safe Control With Learned Certificates: A Survey of Neura... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Dawson United States 11 129 89 61 43 38 21 354
Jun Gao China 11 21 0.2× 36 0.4× 19 0.3× 24 0.6× 37 1.0× 59 352
Peter J. Ashenden Australia 10 68 0.5× 72 0.8× 37 0.6× 40 0.9× 5 0.1× 30 547
Seongsoo Hong South Korea 14 42 0.3× 44 0.5× 32 0.5× 61 1.4× 75 2.0× 47 699
Yang Yihan China 12 234 1.8× 37 0.4× 11 0.2× 10 0.2× 15 0.4× 106 540
Somayeh Bakhtiari Ramezani United States 10 31 0.2× 82 0.9× 13 0.2× 17 0.4× 11 0.3× 26 317
Adrian P. Lauf United States 11 28 0.2× 112 1.3× 52 0.9× 34 0.8× 7 0.2× 30 486
Wei Su China 10 9 0.1× 59 0.7× 213 3.5× 15 0.3× 13 0.3× 57 405
Yu-Chuan Chen Taiwan 12 39 0.3× 47 0.5× 41 0.7× 5 0.1× 8 0.2× 35 410
Jorge Ropero Spain 11 51 0.4× 55 0.6× 10 0.2× 58 1.3× 36 0.9× 30 422

Countries citing papers authored by Charles Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Charles Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Dawson. A scholar is included among the top collaborators of Charles Dawson 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 Charles Dawson. Charles Dawson 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.
Rea, Cristina, et al.. (2025). Active ramp-down control and trajectory design for tokamaks with neural differential equations and reinforcement learning. Communications Physics. 8(1). 1 indexed citations
2.
Dawson, Charles, et al.. (2024). Learning-Based Bayesian Inference for Testing of Autonomous Systems. IEEE Robotics and Automation Letters. 9(10). 9063–9070.
3.
Chen, Yongchao, Jacob Arkin, Charles Dawson, et al.. (2024). AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. 6695–6702. 35 indexed citations
4.
Garg, Kunal, et al.. (2024). Learning safe control for multi-robot systems: Methods, verification, and open challenges. Annual Reviews in Control. 57. 100948–100948. 14 indexed citations
5.
Garg, Kunal, et al.. (2023). Model-Free Neural Fault Detection and Isolation for Safe Control. IEEE Control Systems Letters. 7. 3169–3174. 6 indexed citations
6.
Dawson, Charles, Sicun Gao, & Chuchu Fan. (2023). Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control. IEEE Transactions on Robotics. 39(3). 1749–1767. 107 indexed citations breakdown →
7.
Dawson, Charles, et al.. (2023). Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions. IEEE Robotics and Automation Letters. 8(11). 7106–7113. 10 indexed citations
8.
Dawson, Charles, et al.. (2023). Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields. 10511–10517. 13 indexed citations
9.
Dawson, Charles, et al.. (2022). Learning Safe, Generalizable Perception-Based Hybrid Control With Certificates. IEEE Robotics and Automation Letters. 7(2). 1904–1911. 30 indexed citations
10.
Dawson, Charles & Chuchu Fan. (2022). Certifiable Robot Design Optimization using Differentiable Programming. 2 indexed citations
11.
Chan, Manwei, Charles Dawson, Paula do Vale Pereira, et al.. (2020). Autonomously Deployable Tower Infrastructure for Exploration and Communication in Lunar Permanently Shadowed Regions. 7 indexed citations
12.
Dawson, Charles & D. Philip. (2019). A sensitivity‐based approach to solving the inverse eigenvalue problem for linear structures carrying lumped attachments. International Journal for Numerical Methods in Engineering. 120(5). 537–566. 3 indexed citations
13.
Ding, X. X., Bin Gao, Charles Dawson, et al.. (2019). Magnetic properties of double perovskite Ln2CoIrO6 (Ln=Eu, Tb, Ho): Hetero-tri-spin 3d5d4f systems. Physical review. B.. 99(1). 20 indexed citations
14.
Nep, E.I., Mohammed H. Mahdi, Adeola O. Adebisi, et al.. (2017). The influence of hydroalcoholic media on the performance of Grewia polysaccharide in sustained release tablets. International Journal of Pharmaceutics. 532(1). 352–364. 15 indexed citations
15.
Dawson, Charles. (2016). On thinking, dreaming and remembering like a river. Figshare. 1 indexed citations
16.
Toseland, Ronald W., et al.. (1999). Use of Health and Human Services by Community-Residing People with Dementia. Social Work. 44(6). 535–548. 56 indexed citations
17.
Doyle, William, et al.. (1998). Magnetization Reversal at High Speed-An Old Problem in a New Context. 22(3). 91–106. 6 indexed citations
18.
Dawson, Charles. (1996). Television Advertising: In Need of Reinvention?. International Journal of Advertising. 15(4). 302–313. 2 indexed citations
19.
Dawson, Charles. (1996). Television Advertising: In Need of Reinvention?. International Journal of Advertising. 15(4). 302–313. 13 indexed citations
20.
Dawson, Charles, et al.. (1967). The Synthesis of Compounds Structurally Related to Poison Ivy Urushiol. 4,5-Dimethyl-3-pentadecylcatechol. The Journal of Organic Chemistry. 32(4). 1084–1088. 11 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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