Anya Castillo

1.5k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Anya Castillo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Anya Castillo has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 9 papers in Control and Systems Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Anya Castillo's work include Optimal Power Flow Distribution (19 papers), Electric Power System Optimization (13 papers) and Smart Grid Energy Management (9 papers). Anya Castillo is often cited by papers focused on Optimal Power Flow Distribution (19 papers), Electric Power System Optimization (13 papers) and Smart Grid Energy Management (9 papers). Anya Castillo collaborates with scholars based in United States, Hong Kong and China. Anya Castillo's co-authors include Dennice F. Gayme, Jean‐Paul Watson, Richard P. O’Neill, Carl D. Laird, Shmuel S. Oren, Michael Bynum, Cesar A. Silva-Monroy, Jianfeng Liu, Joshua Linn and Joseph K. Scott and has published in prestigious journals such as IEEE Transactions on Power Systems, Energy Policy and Energy Conversion and Management.

In The Last Decade

Anya Castillo

25 papers receiving 1.1k citations

Hit Papers

Grid-scale energy storage applications in renewable energ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anya Castillo United States 15 898 416 167 115 75 26 1.1k
Da Huo China 17 767 0.9× 269 0.6× 169 1.0× 164 1.4× 37 0.5× 59 990
Zhengtian Li China 23 1.3k 1.4× 889 2.1× 206 1.2× 124 1.1× 81 1.1× 112 1.5k
Georgios Fotis Greece 20 784 0.9× 352 0.8× 170 1.0× 85 0.7× 83 1.1× 66 1.1k
Saeid Ghassem Zadeh Iran 25 1.3k 1.5× 840 2.0× 213 1.3× 189 1.6× 65 0.9× 79 1.7k
Boyu Qin China 18 801 0.9× 359 0.9× 124 0.7× 147 1.3× 43 0.6× 67 1.0k
Moein Parastegari Iran 17 1.1k 1.3× 431 1.0× 159 1.0× 71 0.6× 65 0.9× 24 1.3k
Tohid Khalili United States 14 801 0.9× 546 1.3× 104 0.6× 89 0.8× 41 0.5× 21 933
Surachai Chaitusaney Thailand 16 771 0.9× 529 1.3× 69 0.4× 70 0.6× 79 1.1× 123 1000
Wujing Huang China 9 840 0.9× 285 0.7× 266 1.6× 41 0.4× 41 0.5× 13 924
Mukwanga W. Siti South Africa 14 810 0.9× 577 1.4× 184 1.1× 148 1.3× 43 0.6× 40 998

Countries citing papers authored by Anya Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Anya Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anya Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of Anya Castillo. A scholar is included among the top collaborators of Anya Castillo 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 Anya Castillo. Anya Castillo 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.
Blakely, Logan, et al.. (2024). Physics-informed machine learning with optimization-based guarantees: Applications to AC power flow. International Journal of Electrical Power & Energy Systems. 157. 109741–109741. 9 indexed citations
2.
Bynum, Michael, et al.. (2024). Efficient bounds tightening based on SOCP relaxations for AC optimal power flow. Optimization and Engineering. 26(1). 83–119.
3.
Bynum, Michael, Andrea Staid, Anya Castillo, et al.. (2021). Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems’ Extreme Weather Resilience. Journal of Infrastructure Systems. 27(2). 10 indexed citations
4.
Bynum, Michael, et al.. (2020). Coramin: An Open-Source Toolset for Developing MINLP Algorithms.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
5.
Castillo, Anya, et al.. (2019). Cyber-Physical Emulation and Optimization of Worst-Case Cyber Attacks on the Power Grid. 14–18. 3 indexed citations
6.
Bynum, Michael, Anya Castillo, Jean‐Paul Watson, & Carl D. Laird. (2018). Evaluating demand response opportunities for power systems resilience using MILP and MINLP Formulations. AIChE Journal. 65(7). 10 indexed citations
7.
Castillo, Anya, Jack Flicker, Clifford Hansen, Jean‐Paul Watson, & Jay Johnson. (2018). Stochastic optimisation with risk aversion for virtual power plant operations: a rolling horizon control. IET Generation Transmission & Distribution. 13(11). 2063–2076. 25 indexed citations
8.
Bynum, Michael, Anya Castillo, Jean‐Paul Watson, & Carl D. Laird. (2018). Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem. IEEE Transactions on Power Systems. 34(1). 814–817. 38 indexed citations
9.
Castillo, Anya & Dennice F. Gayme. (2017). Evaluating the Effects of Real Power Losses in Optimal Power Flow-Based Storage Integration. IEEE Transactions on Control of Network Systems. 5(3). 1132–1145. 12 indexed citations
10.
O’Neill, Richard P., et al.. (2017). An Improved Method for the DCOPF With Losses. IEEE Transactions on Power Systems. 33(4). 3779–3788. 31 indexed citations
11.
Liu, Jianfeng, Michael Bynum, Anya Castillo, Jean‐Paul Watson, & Carl D. Laird. (2017). A multitree approach for global solution of ACOPF problems using piecewise outer approximations. Computers & Chemical Engineering. 114. 145–157. 11 indexed citations
12.
Oren, Shmuel S., et al.. (2016). Running a More Complete Market With the SLP-IV-ACOPF. IEEE Transactions on Power Systems. 32(2). 1139–1148. 15 indexed citations
13.
Castillo, Anya, Carl D. Laird, Cesar A. Silva-Monroy, Jean‐Paul Watson, & Richard P. O’Neill. (2016). The Unit Commitment Problem With AC Optimal Power Flow Constraints. IEEE Transactions on Power Systems. 31(6). 4853–4866. 74 indexed citations
14.
Castillo, Anya, et al.. (2015). A successive linear programming approach to solving the iv-acopf. IEEE Transactions on Power Systems. 31(4). 2752–2763. 101 indexed citations
15.
Watson, Jean‐Paul, et al.. (2014). A Current-Voltage Successive Linear Programming Approach to Solving the ACOPF.. IEEE Transactions on Power Systems. 1 indexed citations
16.
Castillo, Anya & Dennice F. Gayme. (2014). Grid-scale energy storage applications in renewable energy integration: A survey. Energy Conversion and Management. 87. 885–894. 484 indexed citations breakdown →
17.
Castillo, Anya & Dennice F. Gayme. (2013). Profit maximizing storage allocation in power grids. 429–435. 42 indexed citations
18.
Castillo, Anya. (2013). Microgrid provision of blackstart in disaster recovery for power system restoration. 534–539. 39 indexed citations
19.
O’Neill, Richard P., et al.. (2012). History of Optimal Power Flow and Formulations Optimal Power Flow Paper 1. 22 indexed citations
20.
Castillo, Anya & Joshua Linn. (2011). Incentives of carbon dioxide regulation for investment in low-carbon electricity technologies in Texas. Energy Policy. 39(3). 1831–1844. 15 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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