Daniel Drew

15 papers receiving 370 citations

Peers

Daniel Drew
Comparison fields: 5 of 40
  • Environmental Engineering 145
  • Energy Engineering and Power Technology 28
  • Aerospace Engineering 171
  • Atmospheric Science 110
  • Global and Planetary Change 72
Replace Sheila Carreno-Madinabeitia with:
Sheila Carreno-Madinabeitia Spain
Joseph F. Brodie United States
Iratxe González‐Aparicio Netherlands
Johan Arnqvist Sweden
Junrong Xia China
Patrick Volker Denmark
Irena Balog Italy
Lucy Cradden United Kingdom
Ed Sharp United Kingdom
Michael J. Dvorak United States
Daniel Drew relative to Sheila Carreno-Madinabeitia Spain Sheila Carreno-Madinabeitia's profile →
Citations per field
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Sheila Carreno-Madinabeitia · 1×
Citations per year

Countries citing papers authored by Daniel Drew

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniel Drew, 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 Daniel Drew Line = papers co-authored together Daniel Drew links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201384
2 201357
3 201839
4 201537
5 201526
6 201725
7 202022
8 202022
9 201915
10 201814
11 201912
12 201612
13 20209
14 20175
15 20222

About Daniel Drew

Daniel Drew is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Atmospheric Science, Environmental Engineering and Global and Planetary Change, having authored 15 papers that have together received 381 indexed citations. Recurring topics across this work include Wind Energy Research and Development (9 papers), Energy Load and Power Forecasting (8 papers), Integrated Energy Systems Optimization (6 papers), Meteorological Phenomena and Simulations (5 papers), Wind and Air Flow Studies (4 papers), Electric Power System Optimization (3 papers), Renewable Energy and Sustainability (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Environmental Engineering (145 citations), Energy Engineering and Power Technology (28 citations), Aerospace Engineering (171 citations), Atmospheric Science (110 citations) and Global and Planetary Change (72 citations). Daniel Drew has collaborated with scholars based in United Kingdom, Mexico and Switzerland. Frequent co-authors include Janet F. Barlow, Tim Cockerill, Phil Coker, David Brayshaw, Hannah Bloomfield, Kostas Philippopoulos, Jethro Browell, Oscar Martínez‐Alvarado, Maria Vahdati and Thomas Frame. Their work appears in journals such as Renewable Energy, Journal of Wind Engineering and Industrial Aerodynamics, Energy Sustainable Development, Wind Energy and IEEE Control Systems Letters.

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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