Michael R. Davidson

1.1k total citations · 1 hit paper
30 papers, 684 citations indexed

About

Michael R. Davidson is a scholar working on Electrical and Electronic Engineering, Economics and Econometrics and Global and Planetary Change. According to data from OpenAlex, Michael R. Davidson has authored 30 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 6 papers in Economics and Econometrics and 5 papers in Global and Planetary Change. Recurrent topics in Michael R. Davidson's work include Integrated Energy Systems Optimization (7 papers), Climate Change Policy and Economics (5 papers) and Electric Power System Optimization (4 papers). Michael R. Davidson is often cited by papers focused on Integrated Energy Systems Optimization (7 papers), Climate Change Policy and Economics (5 papers) and Electric Power System Optimization (4 papers). Michael R. Davidson collaborates with scholars based in United States, China and Netherlands. Michael R. Davidson's co-authors include Da Zhang, Xiliang Zhang, Valerie J. Karplus, Gang He, John Paul Helveston, Weiming Xiong, José Ignacio Pérez Arriaga, Qixin Chen, Chongqing Kang and Hongye Guo and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael R. Davidson

27 papers receiving 640 citations

Hit Papers

Quantifying the cost savings of global solar photovoltaic... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael R. Davidson United States 12 347 157 151 135 77 30 684
Ren Ling-zhi China 10 214 0.6× 190 1.2× 130 0.9× 98 0.7× 67 0.9× 17 525
Junling Huang China 14 213 0.6× 188 1.2× 156 1.0× 150 1.1× 115 1.5× 49 689
Birgit Fais United Kingdom 9 363 1.0× 212 1.4× 270 1.8× 241 1.8× 63 0.8× 11 760
Pei‐Hao Li United Kingdom 10 321 0.9× 136 0.9× 164 1.1× 151 1.1× 52 0.7× 11 610
Weiming Xiong China 8 306 0.9× 109 0.7× 118 0.8× 129 1.0× 53 0.7× 8 500
Felix Schreyer Germany 7 260 0.7× 124 0.8× 169 1.1× 128 0.9× 62 0.8× 12 586
Kais Siala Germany 9 272 0.8× 94 0.6× 139 0.9× 219 1.6× 87 1.1× 19 658
Claudia Sheinbaum-Pardo Mexico 13 178 0.5× 174 1.1× 197 1.3× 189 1.4× 143 1.9× 19 705
Felix Müsgens Germany 14 514 1.5× 153 1.0× 147 1.0× 41 0.3× 51 0.7× 55 727
Corinna Kleßmann Germany 9 331 1.0× 199 1.3× 131 0.9× 67 0.5× 111 1.4× 15 642

Countries citing papers authored by Michael R. Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Davidson. 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 Michael R. Davidson. The network helps show where Michael R. Davidson may publish in the future.

Co-authorship network of co-authors of Michael R. Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Davidson. A scholar is included among the top collaborators of Michael R. Davidson 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 Michael R. Davidson. Michael R. Davidson 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
2.
Zhang, Ning, Ershun Du, Haiyang Jiang, et al.. (2025). Emerging demand-side flexible resources accelerate China’s power system transition toward carbon neutrality. iScience. 28(5). 112372–112372. 1 indexed citations
3.
Yu, Donghui, Baihe Gu, Mengye Zhu, & Michael R. Davidson. (2025). Critical mineral bottlenecks constrain sub-technology choices in low-carbon energy deployment. iScience. 28(9). 113267–113267.
4.
Zhang, Zhenhua, et al.. (2025). Coordinating power sector climate transitions under policy uncertainty. Nature Communications. 16(1). 3786–3786. 2 indexed citations
5.
Murakami, Kohei, et al.. (2025). Wildfire Resilient Unit Commitment Under Uncertain Demand. IEEE Transactions on Power Systems. 40(4). 3131–3143. 1 indexed citations
6.
Davidson, Michael R., et al.. (2024). Simulating institutional heterogeneity in sustainability science. Proceedings of the National Academy of Sciences. 121(8). e2215674121–e2215674121. 17 indexed citations
7.
Davidson, Michael R.. (2024). Managing the decline of coal in a decarbonizing China. Wiley Interdisciplinary Reviews Climate Change. 15(6). 1 indexed citations
8.
Zhang, Chongyu, et al.. (2024). Assessing the synergies of flexibly-operated carbon capture power plants with variable renewable energy in large-scale power systems. Applied Energy. 377. 124459–124459. 11 indexed citations
9.
Zhang, Da, Shi Chen, Chongyu Zhang, et al.. (2024). Spatially resolved land and grid model of carbon neutrality in China. Proceedings of the National Academy of Sciences. 121(10). e2306517121–e2306517121. 28 indexed citations
10.
Davidson, Michael R., Xue Gao, Joshua W. Busby, Christine Shearer, & Joshua Eisenman. (2023). Hard to say goodbye: South Korea, Japan, and China as the last lenders for coal. Environmental Politics. 32(7). 1186–1207. 8 indexed citations
11.
Davidson, Michael R. & Dev Millstein. (2022). Limitations of reanalysis data for wind power applications. Wind Energy. 25(9). 1646–1653. 26 indexed citations
12.
Helveston, John Paul, Gang He, & Michael R. Davidson. (2022). Quantifying the cost savings of global solar photovoltaic supply chains. Nature. 612(7938). 83–87. 126 indexed citations breakdown →
13.
Davidson, Michael R. & Margaret M. Pearson. (2022). Static Electricity: Institutional and Ideational Barriers to China’s Market Reforms. Studies in Comparative International Development. 57(3). 385–409. 3 indexed citations
14.
Guo, Hongye, Michael R. Davidson, Qixin Chen, et al.. (2020). Power market reform in China: Motivations, progress, and recommendations. Energy Policy. 145. 111717–111717. 107 indexed citations
15.
Haupt, Sue Ellen, Michael R. Davidson, Jan Dobschinski, et al.. (2019). The Use of Probabilistic Forecasts: Applying Them in Theory and Practice. IEEE Power and Energy Magazine. 17(6). 46–57. 42 indexed citations
16.
Davidson, Michael R. & José Ignacio Pérez Arriaga. (2018). Modeling Unit Commitment in Political Context: Case of China's Partially Restructured Electricity Sector. IEEE Transactions on Power Systems. 33(5). 4889–4901. 17 indexed citations
17.
Davidson, Michael R. & José Ignacio Pérez Arriaga. (2017). Modeling Unit Commitment in Political Context: Case of China's Partially Restructured Electricity Sector. SSRN Electronic Journal. 2 indexed citations
18.
Davidson, Michael R., Da Zhang, Weiming Xiong, Xiliang Zhang, & Valerie J. Karplus. (2016). Modelling the potential for wind energy integration on China’s coal-heavy electricity grid. Nature Energy. 1(7). 190 indexed citations
19.
Zhang, Da, et al.. (2014). An Integrated Assessment of China's Wind Energy Potential. DSpace@MIT (Massachusetts Institute of Technology). 23 indexed citations
20.
Davidson, Michael R., et al.. (1977). Ecological considerations of the solar alternatives. NASA STI/Recon Technical Report N. 77. 33655. 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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