Line Roald

2.4k total citations · 1 hit paper
77 papers, 1.4k citations indexed

About

Line Roald is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering. According to data from OpenAlex, Line Roald has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 19 papers in Safety, Risk, Reliability and Quality and 14 papers in Control and Systems Engineering. Recurrent topics in Line Roald's work include Optimal Power Flow Distribution (36 papers), Electric Power System Optimization (24 papers) and Smart Grid Energy Management (20 papers). Line Roald is often cited by papers focused on Optimal Power Flow Distribution (36 papers), Electric Power System Optimization (24 papers) and Smart Grid Energy Management (20 papers). Line Roald collaborates with scholars based in United States, Switzerland and Germany. Line Roald's co-authors include Göran Andersson, Scott Backhaus, Michael Chertkov, Daniel K. Molzahn, Anatoly Zlotnik, Frauke Oldewurtel, Thilo Krause, Jalal Kazempour, David Pozo and Anthony Papavasiliou and has published in prestigious journals such as IEEE Transactions on Power Systems, Nature Energy and IEEE Transactions on Smart Grid.

In The Last Decade

Line Roald

68 papers receiving 1.4k citations

Hit Papers

Power systems optimization under uncertainty: A review of... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Power systems optimization under uncertainty: A review of methods and applications
    2022 165 citations Line Roald, Daniel K. Molzahn et al. Electric Power Systems Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Line Roald United States 19 1.2k 341 196 125 123 77 1.4k
Zhouyang Ren China 21 952 0.8× 359 1.1× 153 0.8× 221 1.8× 76 0.6× 56 1.2k
Peiyuan Chen Sweden 16 1.3k 1.1× 542 1.6× 211 1.1× 99 0.8× 44 0.4× 70 1.5k
Luigi Parise Italy 17 719 0.6× 452 1.3× 73 0.4× 64 0.5× 110 0.9× 130 1.2k
G. Papaefthymiou Netherlands 11 1.4k 1.2× 286 0.8× 416 2.1× 110 0.9× 100 0.8× 27 1.6k
Juan Pérez‐Ruiz Spain 9 1.7k 1.5× 348 1.0× 451 2.3× 77 0.6× 101 0.8× 16 1.8k
Kurt Rohrig Germany 9 890 0.8× 383 1.1× 140 0.7× 107 0.9× 25 0.2× 22 1.1k
Wei Hu China 22 1.5k 1.3× 773 2.3× 251 1.3× 203 1.6× 13 0.1× 134 1.9k
Julio Usaola Spain 28 2.3k 2.0× 835 2.4× 370 1.9× 177 1.4× 76 0.6× 70 2.6k
Spyros Chatzivasileiadis Denmark 22 1.2k 1.0× 629 1.8× 153 0.8× 89 0.7× 41 0.3× 74 1.4k

Countries citing papers authored by Line Roald

Since Specialization
Citations

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

Fields of papers citing papers by Line Roald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Line Roald

This figure shows the co-authorship network connecting the top 25 collaborators of Line Roald. A scholar is included among the top collaborators of Line Roald 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 Line Roald. Line Roald 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.
Roald, Line, et al.. (2026). Day-ahead transmission grid topology optimization considering renewable energy sources’ uncertainty. International Journal of Electrical Power & Energy Systems. 174. 111527–111527.
2.
Taylor, Sofia, et al.. (2025). Quantifying Metrics for Wildfire Ignition Risk from Geographic Data in Power Shutoff Decision-Making. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations
3.
4.
Roald, Line, et al.. (2025). ElectricityEmissions.jl: A Framework for the Comparison of Carbon Intensity Signals. 19–30. 2 indexed citations
5.
Irwin, David, Prashant Shenoy, Mohammad Hajiesmaili, et al.. (2025). A Vision for Computational Decarbonization of Societal Infrastructure. IEEE Internet Computing. 29(2). 27–35. 1 indexed citations
6.
Roald, Line, et al.. (2025). Greening the grid: Electricity market clearing with consumer-based carbon cost. Sustainable Energy Grids and Networks. 43. 101870–101870.
7.
Anitescu, Mihai, et al.. (2025). A framework for balancing power grid efficiency and risk with bi-objective stochastic integer optimization. Optimization and Engineering. 26(3). 1567–1612. 2 indexed citations
8.
Overbye, Thomas J., Katherine Davis, G.T. Heydt, & Line Roald. (2025). Survey of High Impact Electric Power System Papers, 1975–2024. 1–6.
9.
Gupta, Rahul, et al.. (2025). Forecast-aided state estimation in unbalanced distribution networks using smart meter data under limited communication bandwidth. Sustainable Energy Grids and Networks. 43. 101863–101863.
10.
Roald, Line, et al.. (2024). Long solution times or low solution quality: On trade-offs in choosing a power flow formulation for the Optimal Power Shutoff problem. Electric Power Systems Research. 234. 110713–110713. 4 indexed citations
11.
Akter, Sonia, B Dube, Paula Villagra, et al.. (2024). Fire risk in a warming world. One Earth. 7(6). 927–931. 1 indexed citations
12.
Hsu, Tim, et al.. (2024). Cascading blackout severity prediction with statistically-augmented graph neural networks. Electric Power Systems Research. 234. 110738–110738. 3 indexed citations
13.
Sharma, Smriti, et al.. (2024). Engineering Microgrids Amid the Evolving Electrical Distribution System. Energies. 17(19). 4764–4764.
14.
Yang, Haoxiang, et al.. (2024). Multistage stochastic program for mitigating power system risks under wildfire disruptions. Electric Power Systems Research. 234. 110773–110773. 3 indexed citations
15.
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
16.
Roald, Line, et al.. (2023). Optimal Energy Rationing for Prepaid Electricity Customers. 1–6. 1 indexed citations
17.
Roald, Line. (2023). Sharing the cost of wildfire resilience. Nature Energy. 8(10). 1067–1068. 4 indexed citations
18.
Luedtke, James, et al.. (2020). Electric Power Systems Research. VTechWorks (Virginia Tech). 9 indexed citations
19.
Sundar, Kaarthik, Harsha Nagarajan, Line Roald, et al.. (2019). Chance-Constrained Unit Commitment With N-1 Security and Wind Uncertainty. IEEE Transactions on Control of Network Systems. 6(3). 1062–1074. 51 indexed citations
20.
Misra, Sidhant, et al.. (2018). Learning for Convex Optimization. arXiv (Cornell University). 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.

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