Birgit Fais

1.0k citations
14 papers · 815 · h-index 9

Impact in

Papers in

Birgit Fais

14 papers receiving 789 citations

Peers

Birgit Fais
Comparison fields: 5 of 68
  • Energy Engineering and Power Technology 90
  • Environmental Engineering 245
  • Renewable Energy, Sustainability and the Environment 272
  • General Energy 10
  • Economics and Econometrics 216
Replace Amber Mahone with:
Amber Mahone United States
Jamil Farbes United States
Jacob Teter United States
Silvia Madeddu Germany
Pei‐Hao Li United Kingdom
Kais Siala Germany
Pelopidas Siskos Greece
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Tamaryn Napp United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Birgit Fais

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Fais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Birgit Fais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Birgit Fais Line = papers co-authored together Birgit Fais links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2018207
2 2015164
3 2017143
4 201788
5 201666
6 201647
7 201436
8 201425
9 201724
10
Spatially and Temporally Explicit Energy System Modelling to Support the Transition to a Low Carbon Energy Infrastructure – Case Study for Wind Energy in the UK
20157
11 20163
12 20172
13 20152
14 20151

About Birgit Fais

Birgit Fais is a scholar working on Environmental Engineering, Renewable Energy, Sustainability and the Environment, Economics and Econometrics, Electrical and Electronic Engineering and Energy Engineering and Power Technology, having authored 14 papers that have together received 815 indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (8 papers), Climate Change Policy and Economics (6 papers), Environmental Impact and Sustainability (6 papers), Global Energy and Sustainability Research (3 papers), Renewable Energy and Sustainability (2 papers), Coastal and Marine Management (1 paper), Distributed and Parallel Computing Systems (1 paper) and Water-Energy-Food Nexus Studies (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (90 citations), Environmental Engineering (245 citations), Renewable Energy, Sustainability and the Environment (272 citations), General Energy (10 citations) and Economics and Econometrics (216 citations). Birgit Fais has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include James Price, Neil D. Strachan, Marianne Zeyringer, Nagore Sabio, Ed Sharp, Pei‐Hao Li, Francis G.N. Li, Steve Pye, Hannah Daly and Markus Blesl. Their work appears in journals such as Nature Energy, Applied Energy, Energy Strategy Reviews, Energy and Climate Policy.

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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