Dawn M. Tilbury

11.0k total citations · 2 hit papers
281 papers, 7.7k citations indexed

About

Dawn M. Tilbury is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Dawn M. Tilbury has authored 281 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Industrial and Manufacturing Engineering, 87 papers in Control and Systems Engineering and 58 papers in Computational Theory and Mathematics. Recurrent topics in Dawn M. Tilbury's work include Flexible and Reconfigurable Manufacturing Systems (68 papers), Petri Nets in System Modeling (53 papers) and Manufacturing Process and Optimization (43 papers). Dawn M. Tilbury is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (68 papers), Petri Nets in System Modeling (53 papers) and Manufacturing Process and Optimization (43 papers). Dawn M. Tilbury collaborates with scholars based in United States, Germany and Jordan. Dawn M. Tilbury's co-authors include James Moyne, Feng‐Li Lian, Kira Barton, Yixin Diao, Joseph L. Hellerstein, Sujay Parekh, Shankar Sastry, Richard M. Murray, Lionel Robert and X. Jessie Yang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Dawn M. Tilbury

267 papers receiving 7.2k citations

Hit Papers

Feedback Control of Compu... 2002 2026 2010 2018 2004 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawn M. Tilbury United States 42 3.0k 2.5k 1.5k 1.1k 809 281 7.7k
Krishna R. Pattipati United States 47 3.4k 1.1× 2.1k 0.8× 758 0.5× 258 0.2× 568 0.7× 453 9.0k
Sanjit A. Seshia United States 42 1.2k 0.4× 1.4k 0.6× 297 0.2× 2.1k 1.9× 740 0.9× 197 7.3k
Rong Su Singapore 38 1.7k 0.6× 1.3k 0.5× 629 0.4× 1.6k 1.5× 249 0.3× 339 4.6k
Ragunathan Rajkumar United States 35 912 0.3× 2.9k 1.2× 397 0.3× 574 0.5× 566 0.7× 140 5.9k
Bruce H. Krogh United States 43 2.8k 0.9× 2.0k 0.8× 983 0.7× 2.9k 2.7× 741 0.9× 228 8.0k
Sven Koenig United States 54 1.3k 0.5× 3.0k 1.2× 1.0k 0.7× 431 0.4× 5.9k 7.3× 312 10.0k
Cristian Secchi Italy 38 2.6k 0.9× 1.3k 0.5× 1.1k 0.8× 200 0.2× 1.1k 1.4× 238 5.9k
Yoram Koren United States 59 4.7k 1.6× 1.2k 0.5× 6.9k 4.7× 326 0.3× 4.6k 5.7× 188 16.5k
Shlomo Zilberstein United States 34 490 0.2× 1.7k 0.7× 228 0.2× 731 0.7× 631 0.8× 233 5.7k
Francesco Borrelli United States 62 10.1k 3.4× 1.1k 0.4× 352 0.2× 611 0.6× 2.2k 2.7× 225 14.8k

Countries citing papers authored by Dawn M. Tilbury

Since Specialization
Citations

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

Fields of papers citing papers by Dawn M. Tilbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn M. Tilbury. 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 Dawn M. Tilbury. The network helps show where Dawn M. Tilbury may publish in the future.

Co-authorship network of co-authors of Dawn M. Tilbury

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn M. Tilbury. A scholar is included among the top collaborators of Dawn M. Tilbury 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 Dawn M. Tilbury. Dawn M. Tilbury 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.
Tilbury, Dawn M., et al.. (2025). A Lead-Time-Aware Decomposition Approach to Optimize Disruption Response in Supply Chains. IEEE Transactions on Automation Science and Engineering. 23. 2203–2211.
2.
Balta, Efe C., Dawn M. Tilbury, & Kira Barton. (2024). Iterative learning spatial height control for layerwise processes. Automatica. 167. 111756–111756. 2 indexed citations
3.
Robert, Lionel, et al.. (2024). Toward Personalized Tour-Guide Robot: Adaptive Content Planner based on Visitor's Engagement. Deep Blue (University of Michigan). 674–678. 4 indexed citations
4.
Tilbury, Dawn M., et al.. (2024). Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response. IEEE Robotics and Automation Letters. 9(6). 5126–5133. 3 indexed citations
5.
Tilbury, Dawn M., et al.. (2024). Supply Chain Design Optimization With Heterogeneous Risk-Aware Agents. IEEE Transactions on Automation Science and Engineering. 22. 9872–9883.
6.
Tilbury, Dawn M., et al.. (2023). A Distributed Approach for Agile Supply Chain Decision-Making Based on Network Attributes. IEEE Transactions on Automation Science and Engineering. 21(3). 2223–2236. 7 indexed citations
7.
Barton, Kira, et al.. (2023). Digital Twin Framework for Reconfiguration Management: Concept & Evaluation. IEEE Access. 11. 127364–127387. 3 indexed citations
8.
Tilbury, Dawn M., et al.. (2022). Requirements for Reconfiguration Management for Manufacturing Systems. IFAC-PapersOnLine. 55(10). 3214–3219. 3 indexed citations
9.
ElMoaqet, Hisham, Jungyoon Kim, Dawn M. Tilbury, et al.. (2020). Gaussian Mixture Models for Detecting Sleep Apnea Events Using Single Oronasal Airflow Record. Applied Sciences. 10(21). 7889–7889. 23 indexed citations
10.
Kovalenko, Ilya, Efe C. Balta, Yassine Qamsane, et al.. (2020). Developing the Workforce for Next-Generation Smart Manufacturing Systems: A Multidisciplinary Research Team Approach. 5(2). 4–24. 2 indexed citations
11.
Balta, Efe C., Dawn M. Tilbury, & Kira Barton. (2019). Control-Oriented Modeling and Layer-to-Layer Stability for Fused Deposition Modeling: A Kernel Basis Approach. 4727–4733. 11 indexed citations
12.
Kim, Jungyoon, Hisham ElMoaqet, Dawn M. Tilbury, Satya Krishna Ramachandran, & Thomas Penzel. (2018). Time domain characterization for sleep apnea in oronasal airflow signal: a dynamic threshold classification approach. Physiological Measurement. 40(5). 54007–54007. 16 indexed citations
13.
Kovalenko, Ilya, Miguel Saez, Kira Barton, & Dawn M. Tilbury. (2017). SMART: A System-Level Manufacturing and Automation Research Testbed. 1(1). 232–262. 26 indexed citations
15.
Ersal, Tulga, Tianyou Guo, Anna G. Stefanopoulou, et al.. (2014). Keeping Ground Robots on the Move Through Battery & Mission Management. Mechanical Engineering. 136(6). S1–S6. 3 indexed citations
16.
Tilbury, Dawn M., et al.. (2013). Improving teleoperated robot speed using optimization techniques. Human-Robot Interaction. 249–250. 1 indexed citations
17.
Viswanathan, J., et al.. (2011). Using hybrid process simulation to evaluate manufacturing system component choices: integrating a virtual robot with the physical system. Winter Simulation Conference. 2827–2838. 3 indexed citations
18.
Tilbury, Dawn M., et al.. (2011). A new breed of robots that drive themselves. Deep Blue (University of Michigan). 1 indexed citations
19.
Hellerstein, Joseph L., Yixin Diao, Sujay Parekh, & Dawn M. Tilbury. (2005). Control engineering for computing systems. IEEE Control Systems. 25(6). 56–68. 13 indexed citations
20.
Bushnell, Linda, Dawn M. Tilbury, & Shankar Sastry. (1995). Steering Three-Input Nonholonomic Systems: The Fire Truck Example. The International Journal of Robotics Research. 14(4). 366–381. 81 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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