R. Lohwasser

Economics and Econometrics · 2009–2013

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 32 citations into it; #6,533 of 23,481 by trust here, #5,426 by citations
• Finance — 17 citations into it; #4,117 of 10,518 by trust here, #2,835 by citations
• Renewable Energy, Sustainability and the Environment — 17 citations into it
• Management Science and Operations Research — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it; #7,919 of 16,539 by trust here, #9,210 by citations

Whom R. Lohwasser trusts overall

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

1. S. Kahouli-Brahmi
2. Reinhard Madlener
3. Gregory C. Unruh
4. Günther Westner
5. Tooraj Jamasb
6. Felix Müsgens
7. R. Bernstein
8. Keywan Riahi
9. Leo Schrattenholzer
10. Gaurav S. Ghosh

Who trusts R. Lohwasser overall

1. Reinhard Madlener
2. C. Michelsen
3. Günther Westner
4. André Hackbarth
5. R. Bernstein
6. Gaurav S. Ghosh
7. D. Kroniger
8. Gürkan Kumbaroglu
9. T. Melchior
10. Stephan B. Bruns

Papers from R. Lohwasser's perspective

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

1. Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching
2. The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project
3. Escaping carbon lock-in
4. Technological Learning in the Energy Sector
5. Technological learning in energy–environment–economy modelling: A survey
6. Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies
7. Quantifying Market Power in the German Wholesale Electricity Market Using a Dynamic Multi-Regional Dispatch Model
8. Understanding carbon lock-in
9. Learning rates for energy technologies
10. Design of an economically efficient feed-in tariff structure for renewable energy development

Their papers

• Relating R&D and Investment Policies to CCS Market Diffusion Through Two-Factor Learning (2013) — 127 citations
• Impact of CCS on the Economics of Coal-Fired Power Plants: Why Investment Costs Do and Efficiency Doesn’t Matter (2009) — 111 citations
• Simulation of the European Electricity Market and CCS Development with the HECTOR Model (2009) — 115 citations