Jim McCaa

1.4k total citations · 1 hit paper
7 papers, 657 citations indexed

About

Jim McCaa is a scholar working on Electrical and Electronic Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Jim McCaa has authored 7 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Global and Planetary Change and 3 papers in Atmospheric Science. Recurrent topics in Jim McCaa's work include Energy Load and Power Forecasting (5 papers), Meteorological Phenomena and Simulations (3 papers) and Climate variability and models (3 papers). Jim McCaa is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Meteorological Phenomena and Simulations (3 papers) and Climate variability and models (3 papers). Jim McCaa collaborates with scholars based in United States. Jim McCaa's 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 and has published in prestigious journals such as Applied Energy, Bulletin of the American Meteorological Society and Wind Engineering.

In The Last Decade

Jim McCaa

7 papers receiving 635 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Wind Integration National Dataset (WIND) Toolkit

2015 475 citations Caroline Draxl, Andrew Clifton et al. Applied Energy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jim McCaa United States	4	459	162	120	101	98	7	657
Shuanglei Feng China	13	465 1.0×	100 0.6×	92 0.8×	85 0.8×	120 1.2×	35	669
C. Clack United States	11	302 0.7×	116 0.7×	65 0.5×	59 0.6×	52 0.5×	18	530
Andrea Staid United States	14	330 0.7×	80 0.5×	98 0.8×	111 1.1×	66 0.7×	26	669
Alexandre Carlos Araújo da Costa Brazil	7	628 1.4×	240 1.5×	61 0.5×	33 0.3×	238 2.4×	13	768
H. S. Sahsamanoglou Greece	9	419 0.9×	142 0.9×	190 1.6×	213 2.1×	185 1.9×	13	709
Ulrich Focken Germany	8	860 1.9×	195 1.2×	83 0.7×	40 0.4×	164 1.7×	9	966
Michael Denhard Germany	7	320 0.7×	88 0.5×	122 1.0×	132 1.3×	72 0.7×	10	493
Laurent Dubus France	14	286 0.6×	88 0.5×	125 1.0×	193 1.9×	182 1.9×	29	620
A. de Francisco Spain	8	518 1.1×	188 1.2×	38 0.3×	60 0.6×	291 3.0×	12	770
Rudy Calif France	16	306 0.7×	103 0.6×	91 0.8×	141 1.4×	256 2.6×	25	735

Countries citing papers authored by Jim McCaa

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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7 of 7 papers shown

1.

Shaw, William J., Larry K. Berg, Joël Cline, et al.. (2019). The Second Wind Forecast Improvement Project (WFIP2): General Overview. Bulletin of the American Meteorological Society. 100(9). 1687–1699. 59 indexed citations

2.

McCaa, Jim. (2017). Overview of the Wind Forecasting Improvement Project in Complex Terrain (WFIP2). 1 indexed citations

3.

Draxl, Caroline, Andrew Clifton, Bri‐Mathias Hodge, & Jim McCaa. (2015). The Wind Integration National Dataset (WIND) Toolkit. Applied Energy. 151. 355–366. 475 indexed citations breakdown →

4.

Hodge, Bri‐Mathias, et al.. (2013). Advancements in Wind Integration Study Input Data Modeling: The Wind Integration National Dataset (WIND) Toolkit. AGU Fall Meeting Abstracts. 2013. 1 indexed citations

5.

Draxl, Caroline, et al.. (2013). Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

6.

Potter, Cameron, et al.. (2008). Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.). Wind Engineering. 32(4). 325–338. 99 indexed citations

7.

Potter, Cameron, Hugo A. Gil, & Jim McCaa. (2007). Wind Power Data for Grid Integration Studies. IEEE Power Engineering Society General Meeting. 3. 1–6. 21 indexed citations

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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