Citations per year, relative to John W. Zack John W. Zack (= 1×)
peers
Daniel Paredes
Countries citing papers authored by John W. Zack
Since
Specialization
Citations
This map shows the geographic impact of John W. Zack'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 John W. Zack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Zack more than expected).
This network shows the impact of papers produced by John W. Zack. 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 John W. Zack. The network helps show where John W. Zack may publish in the future.
Co-authorship network of co-authors of John W. Zack
This figure shows the co-authorship network connecting the top 25 collaborators of John W. Zack.
A scholar is included among the top collaborators of John W. Zack 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 John W. Zack. John W. Zack is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Browell, Jethro, Corinna Möhrlen, John W. Zack, & Jakob W. Messner. (2019). IEA Wind Recommended Practices for Selecting Renewable Power Forecasting Solutions: Part 3: Evaluation of Forecasts and Forecast Solutions. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).1 indexed citations
Messner, Jakob W., Jethro Browell, Aidan Tuohy, et al.. (2018). IEA Wind Recommended Practices for the Implementation of Wind Power Forecasting Solutions Part 2 and 3: Designing and Executing Forecasting Benchmarks and Evaluation of Forecast Solutions. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).2 indexed citations
Zack, John W.. (2013). Analysis of the Forecast Sensitivity and Predictability of Wind Ramp Events during the Field Campaign of the Southern Study Region of the Wind Forecasting Improvement Project (WFIP).1 indexed citations
8.
Zack, John W., et al.. (2010). An Innovative Short-Term Large Wind Ramp Forecasting System. EGU General Assembly Conference Abstracts. 3503.2 indexed citations
9.
Zack, John W.. (2008). Estimation of monthly and annual local wind speed anomalies through the use of high resolution numerical simulations.1 indexed citations
10.
Zack, John W.. (2005). Examination of Regional Wind Trends Due to Global Climate Change to Improve Wind Resource Assessments.
Kaplan, Michael L., et al.. (1989). Mesoscale acid deposition modeling studies. Final Report.1 indexed citations
14.
Kocin, Paul J., Louis W. Uccellini, John W. Zack, & Michael L. Kaplan. (1985). A mesoscale numerical forecast of an intense convective snowburst along the East Coast. Bulletin of the American Meteorological Society. 66(11). 1412–1424.10 indexed citations
15.
Kocin, Paul J., Louis W. Uccellini, John W. Zack, & Michael L. Kaplan. (1984). Recent examples of mesoscale numerical forecasts of severe weather events along the east coast. NASA Technical Reports Server (NASA). 59(1). 56–8.4 indexed citations
Wong, Vince, et al.. (1983). A nested-grid limited-area model for short term weather forecasting.4 indexed citations
18.
Kaplan, Michael L., et al.. (1983). A nested-grid mesoscale numerical weather prediction model modified for Space Shuttle operational requirements.3 indexed citations
19.
Wong, Vince, et al.. (1983). A numerical investigation of the effects of cloudiness on mesoscale atmospheric circulation.1 indexed citations
20.
Zack, John W.. (1981). a Numerical-Dynamical Investigation of the Role of Subsynoptic Inertial and Isallobaric Adjustments in Organizing Severe Local Storm Ensembles.. PhDT.2 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.