Jim McCaa
Impact in
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- Energy Load and Power Forecasting
- Electric Power System Optimization
- Integrated Energy Systems Optimization
- Smart Grid Energy Management
Papers in
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- Energy Load and Power Forecasting 5
- Wind Turbine Control Systems 1
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- Climate variability and models 3
- Atmospheric and Environmental Gas Dynamics 1
- Co-authors
- Caroline Draxl (4 shared papers)Bri‐Mathias Hodge (2 shared papers)Andrew Clifton (1 shared paper)Cameron Potter (2 shared papers)Eric P. Grimit (2 shared papers)D. Lew (1 shared paper)Scott J. Eichelberger (1 shared paper)Hugo A. Gil (1 shared paper)
- Journals
- Bulletin of the American Meteorological Society (1 paper)Wind Engineering (1 paper)Applied Energy (1 paper)IEEE Power Engineering Society General Meeting (1 paper)AGU Fall Meeting Abstracts (1 paper)
- Partner nations
- United States
In The Last Decade
Jim McCaa
7 papers receiving 635 citations
Jim McCaa's Hit Papers
Peers
Comparison fields: 5 of 63
- Energy Engineering and Power Technology 57
- Electrical and Electronic Engineering 459
- Atmospheric Science 120
- Aerospace Engineering 162
- Environmental Engineering 91
Countries citing papers authored by Jim McCaa
This map shows the geographic impact of Jim McCaa'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 Jim McCaa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim McCaa more than expected).
Fields of papers citing papers by Jim McCaa
This network shows the impact of papers produced by Jim McCaa. 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 Jim McCaa. The network helps show where Jim McCaa may publish in the future.
Co-authors
The 20 scholars most cited alongside Jim McCaa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Wind Integration National Dataset (WIND) Toolkit Hit paper breakdown → | 2015 | 475 |
| 2 | 2008 | 99 | |
| 3 | 2019 | 59 | |
| 4 | 2007 | 21 | |
| 5 | Overview of the Wind Forecasting Improvement Project in Complex Terrain (WFIP2) | 2017 | 1 |
| 6 | Advancements in Wind Integration Study Input Data Modeling: The Wind Integration National Dataset (WIND) Toolkit | 2013 | 1 |
| 7 | Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint | 2013 | 1 |
About Jim McCaa
Jim McCaa is a scholar working on Electrical and Electronic Engineering, Global and Planetary Change, Atmospheric Science, Artificial Intelligence and Environmental Engineering, having authored 7 papers that have together received 657 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (5 papers), Climate variability and models (3 papers), Meteorological Phenomena and Simulations (3 papers), Computational Physics and Python Applications (2 papers), Wind and Air Flow Studies (1 paper), Wind Energy Research and Development (1 paper), Atmospheric and Environmental Gas Dynamics (1 paper) and Wind Turbine Control Systems (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (57 citations), Electrical and Electronic Engineering (459 citations), Atmospheric Science (120 citations), Aerospace Engineering (162 citations) and Environmental Engineering (91 citations). Jim McCaa has collaborated with scholars based in United States. Frequent co-authors include Caroline Draxl, Bri‐Mathias Hodge, Andrew Clifton, Cameron Potter, Eric P. Grimit, D. Lew, Scott J. Eichelberger, Hugo A. Gil, Joël Cline and J. Sharp. Their work appears in journals such as Bulletin of the American Meteorological Society, Wind Engineering, Applied Energy, IEEE Power Engineering Society General Meeting and AGU Fall Meeting Abstracts.
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.