Carleton Coffrin

3.9k total citations
59 papers, 1.5k citations indexed

About

Carleton Coffrin is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Carleton Coffrin has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 14 papers in Control and Systems Engineering and 10 papers in Civil and Structural Engineering. Recurrent topics in Carleton Coffrin's work include Optimal Power Flow Distribution (32 papers), Power System Optimization and Stability (18 papers) and Electric Power System Optimization (11 papers). Carleton Coffrin is often cited by papers focused on Optimal Power Flow Distribution (32 papers), Power System Optimization and Stability (18 papers) and Electric Power System Optimization (11 papers). Carleton Coffrin collaborates with scholars based in United States, Australia and Italy. Carleton Coffrin's co-authors include Pascal Van Hentenryck, Hassan Hijazi, Russell Bent, Linda Corrin, Paula De Barba, Gregor Kennedy, David Fobes, Frederik Geth, Kaarthik Sundar and Marc Vuffray and has published in prestigious journals such as Nature Communications, IEEE Transactions on Power Systems and Mathematical Programming.

In The Last Decade

Carleton Coffrin

56 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carleton Coffrin United States 20 1.0k 495 195 195 155 59 1.5k
Ioannis Voyiatzis Greece 15 394 0.4× 50 0.1× 14 0.1× 69 0.4× 4 0.0× 106 718
Jo Ellen Perry United States 12 61 0.1× 30 0.1× 184 0.9× 42 0.2× 24 0.2× 22 533
Quanlong Guan China 12 46 0.0× 44 0.1× 88 0.5× 68 0.3× 8 0.1× 85 568
Tao Xie United States 20 168 0.2× 22 0.0× 14 0.1× 67 0.3× 22 0.1× 104 1.3k
Wenquan Feng China 15 332 0.3× 96 0.2× 22 0.1× 4 0.0× 20 0.1× 68 809
Nur Ulfa Maulidevi Indonesia 13 147 0.1× 53 0.1× 22 0.1× 16 0.1× 12 0.1× 77 681
István Vajda Hungary 17 551 0.5× 172 0.3× 18 0.1× 13 0.1× 19 0.1× 116 1.3k
Robin Podmore United States 18 1.7k 1.6× 1.0k 2.1× 214 1.1× 4 0.0× 43 0.3× 50 2.0k
José L. Marzo Spain 16 396 0.4× 14 0.0× 12 0.1× 41 0.2× 12 0.1× 102 770
Tim Clarke United Kingdom 14 388 0.4× 159 0.3× 3 0.0× 6 0.0× 37 0.2× 76 828

Countries citing papers authored by Carleton Coffrin

Since Specialization
Citations

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

Fields of papers citing papers by Carleton Coffrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carleton Coffrin

This figure shows the co-authorship network connecting the top 25 collaborators of Carleton Coffrin. A scholar is included among the top collaborators of Carleton Coffrin 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 Carleton Coffrin. Carleton Coffrin 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.
King, Andrew, et al.. (2026). Classical criticality via quantum annealing. Nature Communications. 17(1). 856–856.
2.
Vuffray, Marc, et al.. (2025). Cost of emulating a small quantum annealing problem in the circuit model. Physical review. A. 111(6). 1 indexed citations
3.
Parker, Robert & Carleton Coffrin. (2024). Managing power balance and reserve feasibility in the AC unit commitment problem. Electric Power Systems Research. 234. 110670–110670. 2 indexed citations
4.
Parker, Robert, et al.. (2024). Applications of Lifted Nonlinear Cuts to Convex Relaxations of the AC Power Flow Equations. IEEE Transactions on Power Systems. 40(1). 1168–1171.
5.
Elbert, Stephen T., Jesse Holzer, Richard P. O’Neill, et al.. (2024). ARPA-E Grid Optimization (GO) Competition Challenge 3. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
6.
Bent, Russell, Carleton Coffrin, Clayton Barrows, et al.. (2024). Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks. INFORMS journal on computing. 36(4). 1040–1063. 2 indexed citations
7.
Coffrin, Carleton, et al.. (2024). Security constrained optimal power shutoff for wildfire risk mitigation. IET Generation Transmission & Distribution. 18(18). 2972–2986. 2 indexed citations
8.
9.
Bent, Russell, et al.. (2023). InfrastructureModels: Composable Multi-infrastructure Optimization in Julia. INFORMS journal on computing. 36(2). 600–615. 1 indexed citations
10.
Vuffray, Marc, et al.. (2023). Single-Qubit Cross Platform Comparison of Quantum Computing Hardware. arXiv (Cornell University). 574. 1369–1377. 2 indexed citations
11.
Vuffray, Marc, et al.. (2023). Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing. Physical Review Applied. 19(3). 7 indexed citations
12.
Coffrin, Carleton, et al.. (2022). Natural gas maximal load delivery for multi-contingency analysis. Computers & Chemical Engineering. 168. 108032–108032. 3 indexed citations
13.
Coffrin, Carleton, Pascal Van Hentenryck, & Russell Bent. (2021). Last-Mile Restoration for Multiple Interdependent Infrastructures. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 455–463. 6 indexed citations
14.
Fobes, David, et al.. (2020). PowerModelsRestoration.jl: An open-source framework for exploring power network restoration algorithms. Electric Power Systems Research. 190. 106736–106736. 15 indexed citations
15.
Coffrin, Carleton, et al.. (2018). Relaxations of AC Maximal Load Delivery for Severe Contingency Analysis. IEEE Transactions on Power Systems. 34(2). 1450–1458. 26 indexed citations
16.
Sundar, Kaarthik, Carleton Coffrin, Harsha Nagarajan, & Russell Bent. (2018). Probabilistic N‐k failure‐identification for power systems. Networks. 71(3). 302–321. 23 indexed citations
17.
Sundar, Kaarthik, Carleton Coffrin, Harsha Nagarajan, & Russell Bent. (2017). Probabilistic Interdiction for Power Systems.. arXiv (Cornell University). 1 indexed citations
18.
Thiébaux, Sylvie, Carleton Coffrin, Hassan Hijazi, & John Slaney. (2013). Planning with MIP for supply restoration in power distribution systems. ANU Open Research (Australian National University). 2900–2907. 25 indexed citations
19.
Bent, Russell, et al.. (2012). Water distribution expansion planning with decomposition. ANU Open Research (Australian National University). 305. 1 indexed citations
20.
Hentenryck, Pascal Van, Carleton Coffrin, & Russell Bent. (2011). Vehicle Routing for the Last Mile of Power System Restoration. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 56 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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2026