Edward S. Rubin

Economics and Econometrics · 2002–2017

A researcher in the Science corpus: 15 papers; trusts 31 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 74 citations into it; #5,729 of 23,481 by trust here, #2,362 by citations
• Renewable Energy, Sustainability and the Environment — 41 citations into it; #2,808 of 5,212 by trust here, #2,007 by citations
• Management Science and Operations Research — 31 citations into it; #8,967 of 11,946 by trust here, #5,092 by citations
• Environmental Engineering — 25 citations into it; #2,538 of 5,479 by trust here, #1,223 by citations
• Finance — 22 citations into it
• Aerospace Engineering — 7 citations into it
• Pollution — 6 citations into it

Whom Edward S. Rubin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Patrik Söderholm
2. A. Rao
3. Leonardo Barreto
4. M. Junginger
5. Tooraj Jamasb
6. Gregory F. Nemet
7. Keywan Riahi
8. Leo Schrattenholzer
9. Alan McDonald
10. G. Klaassen

Who trusts Edward S. Rubin overall

1. N. Siefert
2. Bob van der Zwaan
3. G. P. Hammond
4. Reyer Gerlagh
5. S. McCoy
6. Charlie Wilson
7. Shawn Litster
8. G. Brändle
9. Sonia Yeh
10. K. Handayani

Papers from Edward S. Rubin's perspective

Ordered by how strongly the researchers Edward S. Rubin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning rates for energy technologies
2. Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching
3. Modeling endogenous technological change for climate policy analysis
4. The economics of the combined cycle gas turbine - an experience curve analysis
5. Induced Technological Change: Exploring its Implications for the Economics of Atmospheric Stabilization: Synthesis Report from the innovation Modeling Comparison Project
6. Endogenizing R&D and Market Experience in the "Bottom-Up" Energy-Systems ERIS Model
7. An economic perspective on experience curves and dynamic economies in renewable energy technologies
8. Wind Power in Europe: A Simultaneous Innovation–Diffusion Model
9. Induced Technical Change in Energy and Environmental Modeling: Analytic Approaches and Policy Implications
10. The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom

Their papers

• Forcing technological change: A case of automobile emissions control technology development in the US (2010) — 112 citations
• Control of SO2 emissions from power plants: A case of induced technological innovation in the U.S. (2005) — 162 citations
• Learning curves for environmental technology and their importance for climate policy analysis (2004) — 125 citations
• A review of learning rates for electricity supply technologies (2015) — 565 citations
• Technological Learning for Carbon Capture and Sequestration Technologies (2004) — 195 citations
• Prospects for Carbon Capture and Sequestration Technologies Assuming Their Technological Learning (2004) — 123 citations
• A review of uncertainties in technology experience curves (2012) — 190 citations
• A technical, economic, and environmental assessment of amine-based CO2 capture technology for power plant greenhouse gas control. (2002) — 1,844 citations
• Power capacity expansion planning considering endogenous technology cost learning (vol 204, pg 831, 2017) (2017) — 155 citations
• The cost of CO2 capture and storage (2015) — 773 citations
• A proposed methodology for CO2 capture and storage cost estimates (2013) — 201 citations
• Economic implications of thermal energy storage for concentrated solar thermal power (2011) — 119 citations
• An engineering-economic model of pipeline transport of CO2 with application to carbon capture and storage (2008) — 377 citations
• Cost and performance of fossil fuel power plants with CO2 capture and storage (2007) — 742 citations
• Comparative assessments of fossil fuel power plants with CO2 capture and storage (2005) — 174 citations