Jim McCaa
- Electrical and Electronic Engineering top 10%
- Aerospace Engineering top 10%
- Atmospheric Science top 10%
- Global and Planetary Change
- Artificial Intelligence top 10%
- Co-authors
- Caroline DraxlBri‐Mathias HodgeAndrew CliftonCameron PotterEric P. GrimitD. LewScott J. EichelbergerHugo A. Gil
- Topics
- Energy Load and Power Forecasting (5 papers)Meteorological Phenomena and Simulations (3 papers)Climate variability and models (3 papers)
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringAtmospheric Science
- Partner nations
- United States
In The Last Decade
Jim McCaa
7 papers receiving 635 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 459
- Aerospace Engineering 162
- Atmospheric Science 120
- Global and Planetary Change 101
- Artificial Intelligence 98
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-authorship network of co-authors of Jim McCaa
This figure shows the co-authorship network connecting the top 25 collaborators of Jim McCaa. A scholar is included among the top collaborators of Jim McCaa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jim McCaa. Jim McCaa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | Overview of the Wind Forecasting Improvement Project in Complex Terrain (WFIP2) | 1 |
| 3 | The Wind Integration National Dataset (WIND) Toolkitbreakdown → | 475 |
| 4 | Advancements in Wind Integration Study Input Data Modeling: The Wind Integration National Dataset (WIND) Toolkit | 1 |
| 5 | Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint | 1 |
| 6 | 99 | |
| 7 | 21 |
About Jim McCaa
Jim McCaa is a scholar working on Global and Planetary Change, Atmospheric Science and Electrical and Electronic 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), Meteorological Phenomena and Simulations (3 papers) and Climate variability and models (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (57 citations), Electrical and Electronic Engineering (459 citations) and Atmospheric Science (120 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, Julie K. Lundquist and Joseph B. Olson. Their work appears in journals such as Applied Energy, Bulletin of the American Meteorological Society and Wind Engineering.
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.