Kira Barton

6.5k total citations · 1 hit paper
226 papers, 4.9k citations indexed

About

Kira Barton is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Kira Barton has authored 226 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Control and Systems Engineering, 54 papers in Industrial and Manufacturing Engineering and 51 papers in Biomedical Engineering. Recurrent topics in Kira Barton's work include Iterative Learning Control Systems (47 papers), Electrohydrodynamics and Fluid Dynamics (42 papers) and Flexible and Reconfigurable Manufacturing Systems (33 papers). Kira Barton is often cited by papers focused on Iterative Learning Control Systems (47 papers), Electrohydrodynamics and Fluid Dynamics (42 papers) and Flexible and Reconfigurable Manufacturing Systems (33 papers). Kira Barton collaborates with scholars based in United States, Netherlands and Germany. Kira Barton's co-authors include Andrew G. Alleyne, Dawn M. Tilbury, Placid M. Ferreira, John A. Rogers, David J. Hoelzle, Efe C. Balta, Ilya Kovalenko, Jang‐Ung Park, Chang Young Lee and Matthew T. Hardy and has published in prestigious journals such as Nature Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Kira Barton

211 papers receiving 4.7k citations

Hit Papers

High-resolution electrohydrodynamic jet printing 2007 2026 2013 2019 2007 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kira Barton United States 32 1.8k 1.5k 1.1k 913 838 226 4.9k
Zhouping Yin China 48 3.2k 1.8× 4.0k 2.6× 602 0.5× 1.0k 1.1× 1.8k 2.1× 325 8.7k
Gongfa Li China 49 1.2k 0.7× 2.1k 1.4× 1.1k 1.0× 682 0.7× 604 0.7× 265 7.1k
Kamal Youcef‐Toumi United States 37 1.2k 0.7× 1.5k 1.0× 2.8k 2.5× 262 0.3× 1.2k 1.4× 304 6.2k
Geok Soon Hong Singapore 38 945 0.5× 1.6k 1.0× 771 0.7× 1.1k 1.2× 2.8k 3.3× 150 5.0k
Jian Gao China 25 769 0.4× 779 0.5× 566 0.5× 580 0.6× 929 1.1× 190 3.0k
Xiaodong Huang Australia 62 1.3k 0.7× 2.3k 1.5× 484 0.4× 505 0.6× 3.0k 3.6× 331 12.9k
Jie Zhao China 36 553 0.3× 3.0k 2.0× 1.8k 1.6× 243 0.3× 1.7k 2.0× 670 6.6k
Ning Xi United States 45 971 0.5× 3.4k 2.2× 2.2k 2.0× 377 0.4× 1.9k 2.2× 708 8.3k
Z.W. Zhong Singapore 42 3.0k 1.7× 2.0k 1.3× 454 0.4× 476 0.5× 2.4k 2.8× 299 6.4k
A. Senthil Kumar Singapore 39 1.6k 0.9× 2.3k 1.5× 302 0.3× 987 1.1× 2.8k 3.3× 161 4.2k

Countries citing papers authored by Kira Barton

Since Specialization
Citations

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

Fields of papers citing papers by Kira Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kira Barton

This figure shows the co-authorship network connecting the top 25 collaborators of Kira Barton. A scholar is included among the top collaborators of Kira Barton 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 Kira Barton. Kira Barton 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.
Vogel, Eric M., et al.. (2025). Automated desktop wiring of micromodular electronic systems with submicron electrohydrodynamic jet printed interconnects. Additive manufacturing. 109. 104830–104830.
3.
Barton, Kira, et al.. (2025). Modular HfOx-RRAM for On-Demand Micromodular Electronics. IEEE Electron Device Letters. 46(7). 1099–1102. 1 indexed citations
4.
Balta, Efe C., Dawn M. Tilbury, & Kira Barton. (2024). Iterative learning spatial height control for layerwise processes. Automatica. 167. 111756–111756. 2 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.. (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
7.
Cain, Stephen M., et al.. (2024). Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue Management. Designing Interactive Systems Conference. 571–583. 1 indexed citations
8.
Barton, Kira, et al.. (2023). Digital Twin Framework for Reconfiguration Management: Concept & Evaluation. IEEE Access. 11. 127364–127387. 3 indexed citations
9.
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
10.
Tilbury, Dawn M., et al.. (2022). Requirements for Reconfiguration Management for Manufacturing Systems. IFAC-PapersOnLine. 55(10). 3214–3219. 3 indexed citations
11.
Fu, Bo, William Smith, Denise Rizzo, et al.. (2022). Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty. IEEE Transactions on Robotics. 39(2). 1087–1105. 24 indexed citations
12.
Ojeda, Lauro, et al.. (2020). Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data. IEEE Robotics and Automation Letters. 5(2). 1579–1586. 7 indexed citations
13.
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
14.
Hoelzle, David J., et al.. (2020). Electrohydrodynamic Jet Printing of 1D Photonic Crystals: Part II—Optical Design and Reflectance Characteristics. Advanced Materials Technologies. 5(10). 9 indexed citations
15.
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
16.
Ojeda, Lauro, et al.. (2019). Off‐road ground robot path energy cost prediction through probabilistic spatial mapping. Journal of Field Robotics. 37(3). 421–439. 33 indexed citations
17.
Hoelzle, David J., et al.. (2018). Robust Monotonically Convergent Spatial Iterative Learning Control: Interval Systems Analysis via Discrete Fourier Transform. IEEE Transactions on Control Systems Technology. 27(6). 2470–2483. 21 indexed citations
18.
Barton, Kira, et al.. (2018). Application of robust monotonically convergent spatial iterative learning control to microscale additive manufacturing. Mechatronics. 56. 157–165. 31 indexed citations
19.
Barton, Kira, Jeroen van de Wijdeven, Andrew G. Alleyne, О.H. Bosgra, & M. Steinbuch. (2008). Norm optimal Cross-Coupled Iterative Learning Control. TU/e Research Portal. 3020–3025. 30 indexed citations
20.
Russell, L.J., et al.. (1969). New concepts in process control instrumentation.. 1(7). 29–33. 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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