C. Lindsay Anderson

1.6k total citations
64 papers, 1.1k citations indexed

About

C. Lindsay Anderson is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, C. Lindsay Anderson has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 9 papers in Control and Systems Engineering and 8 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in C. Lindsay Anderson's work include Electric Power System Optimization (33 papers), Energy Load and Power Forecasting (23 papers) and Smart Grid Energy Management (21 papers). C. Lindsay Anderson is often cited by papers focused on Electric Power System Optimization (33 papers), Energy Load and Power Forecasting (23 papers) and Smart Grid Energy Management (21 papers). C. Lindsay Anderson collaborates with scholars based in United States, Canada and Colombia. C. Lindsay Anderson's co-authors include Judith Cardell, Madhur Srivastava, Jack H. Freed, Matt Davison, Ray D. Zimmerman, C. Murillo-Sanchez, Robert J. Thomas, Xueying Liu, Denis M. O’Carroll and Elijah J. Petersen and has published in prestigious journals such as Environmental Science & Technology, Technometrics and Applied Energy.

In The Last Decade

C. Lindsay Anderson

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Lindsay Anderson United States 16 715 231 109 94 86 64 1.1k
Adil Hussein Mohammed Iraq 20 312 0.4× 146 0.6× 67 0.6× 120 1.3× 55 0.6× 71 1.3k
Bethany L. Nicholson United States 9 425 0.6× 449 1.9× 79 0.7× 85 0.9× 35 0.4× 20 1.1k
Dongsheng Cai China 22 805 1.1× 427 1.8× 65 0.6× 254 2.7× 48 0.6× 115 1.5k
Md. Abdus Salam Brunei 20 754 1.1× 305 1.3× 57 0.5× 46 0.5× 79 0.9× 122 1.5k
Weifei Hu China 21 206 0.3× 185 0.8× 103 0.9× 58 0.6× 110 1.3× 105 1.7k
Wenxuan Yao United States 26 1.4k 1.9× 957 4.1× 114 1.0× 101 1.1× 93 1.1× 98 1.9k
Fan Shu China 14 2.2k 3.0× 197 0.9× 69 0.6× 243 2.6× 100 1.2× 30 2.5k
Ling-Ling Li China 20 786 1.1× 247 1.1× 39 0.4× 202 2.1× 43 0.5× 51 1.3k

Countries citing papers authored by C. Lindsay Anderson

Since Specialization
Citations

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

Fields of papers citing papers by C. Lindsay Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Lindsay Anderson. 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 C. Lindsay Anderson. The network helps show where C. Lindsay Anderson may publish in the future.

Co-authorship network of co-authors of C. Lindsay Anderson

This figure shows the co-authorship network connecting the top 25 collaborators of C. Lindsay Anderson. A scholar is included among the top collaborators of C. Lindsay Anderson 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 C. Lindsay Anderson. C. Lindsay Anderson 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.
Kabir, Elnaz, et al.. (2024). Quantifying the impact of multi-scale climate variability on electricity prices in a renewable-dominated power grid. Renewable Energy. 223. 120013–120013. 14 indexed citations
2.
Stedman, Richard C., et al.. (2024). Rethinking the role of indicators for electricity access in Latin America: Towards energy justice. Applied Energy. 379. 124877–124877. 5 indexed citations
3.
4.
Wang, Zongjie, et al.. (2023). AC Optimal Power Flow in Power Systems With Renewable Energy Integration: A Review of Formulations and Case Studies. IEEE Access. 11. 102681–102712. 13 indexed citations
5.
Pérez, Juan F., et al.. (2022). Distribution-free chance-constrained load balance model for the operation planning of hydrothermal power systems coupled with multiple renewable energy sources. International Journal of Electrical Power & Energy Systems. 142. 108319–108319. 5 indexed citations
6.
Wang, Zongjie & C. Lindsay Anderson. (2021). A Progressive Period Optimal Power Flow for Systems with High Penetration of Variable Renewable Energy Sources. Energies. 14(10). 2815–2815. 6 indexed citations
7.
Tester, Jefferson W., et al.. (2021). Moving toward a framework for electricity and heat equivalence in energy systems analysis. iScience. 24(10). 103123–103123. 2 indexed citations
8.
Wang, Zongjie, et al.. (2021). Chance constrained unit commitment approximation under stochastic wind energy. Computers & Operations Research. 134. 105398–105398. 20 indexed citations
9.
Anderson, C. Lindsay, et al.. (2020). A comparison of deterministic refinement techniques for wind farm layout optimization. Renewable Energy. 168. 581–592. 9 indexed citations
10.
Orths, Antje, C. Lindsay Anderson, Tom Brown, et al.. (2019). Flexibility From Energy Systems Integration: Supporting Synergies Among Sectors. IEEE Power and Energy Magazine. 17(6). 67–78. 32 indexed citations
11.
Pérez, Juan F., et al.. (2019). Risk-averse stochastic dual dynamic programming approach for the operation of a hydro-dominated power system in the presence of wind uncertainty. International Journal of Electrical Power & Energy Systems. 115. 105469–105469. 24 indexed citations
12.
Anderson, C. Lindsay, et al.. (2017). Too conservative to hedge: How much does a corn ethanol facility lose?. International Journal of Production Economics. 193. 654–662. 7 indexed citations
13.
Pérez, Juan F., et al.. (2017). Assessing the impact of wind variability on the long-term operation of a hydro-dominated system. Repositorio Institucional E-DocUR (Universidad Del Rosario). 249. 1–6. 6 indexed citations
14.
Anderson, C. Lindsay, et al.. (2016). Financial sustainability for a lignocellulosic biorefinery under carbon constraints and price downside risk. Applied Energy. 177. 98–107. 7 indexed citations
15.
Liu, Jialin, Gabriela Martinez, & C. Lindsay Anderson. (2016). Quantifying the impact of microgrid location and behavior on transmission network congestion. 2016 Winter Simulation Conference (WSC). 31. 1745–1756. 2 indexed citations
16.
Srivastava, Madhur, C. Lindsay Anderson, & Jack H. Freed. (2016). A New Wavelet Denoising Method for Selecting Decomposition Levels and Noise Thresholds. IEEE Access. 4. 3862–3877. 198 indexed citations
17.
Anderson, C. Lindsay & Judith Cardell. (2014). A Decision Framework for Optimal Pairing of Wind and Demand Response Resources. IEEE Systems Journal. 8(4). 1104–1111. 23 indexed citations
18.
Cardell, Judith & C. Lindsay Anderson. (2013). The Influence of Demand Resource Response Time in Balancing Wind and Load. 27. 2364–2370. 2 indexed citations
19.
Anderson, C. Lindsay & Judith Cardell. (2009). Analysis of wind penetration and network reliability through Monte Carlo simulation. Winter Simulation Conference. 1503–1510. 6 indexed citations
20.
Davison, Matt, et al.. (2002). Development of a Hybrid Model for Electrical Power Spot Prices. IEEE Power Engineering Review. 22(3). 58–58. 4 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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