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 Kain–Fritsch Convective Parameterization: An Update
This map shows the geographic impact of John S. Kain'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 S. Kain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Kain more than expected).
This network shows the impact of papers produced by John S. Kain. 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 S. Kain. The network helps show where John S. Kain may publish in the future.
Co-authorship network of co-authors of John S. Kain
This figure shows the co-authorship network connecting the top 25 collaborators of John S. Kain.
A scholar is included among the top collaborators of John S. Kain 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 S. Kain. John S. Kain 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.
Carley, Jacob R., Benjamin T. Blake, Thomas L. Black, et al.. (2020). Advances Toward an Operational Convection-Allowing Ensemble Prediction System in the Unified Forecast System at NOAA.
Jirak, Israel L., Michael C. Coniglio, Adam J. Clark, et al.. (2014). 46 AN OVERVIEW OF THE 2014 NOAA HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT.6 indexed citations
Levit, Jason J., Gregory W. Carbin, David R. Bright, et al.. (2008). P10.5 THE NOAA HAZARDOUS WEATHER TESTBED 2008 SPRING EXPERIMENT: TECHINCAL AND SCIENTIFIC CHALLENGES OF CREATING A DATA VISUALIZATION ENVIRONMENT FOR STORM- SCALE DETERMINISTIC AND ENSEMBLE FORECASTS.2 indexed citations
Kain, John S.. (2005). Evaluating high-resolution configurations of the WRF model that are used to forecast severe convective weather: The 2005 SPC/NSSL Spring Experiment.8 indexed citations
13.
Kain, John S.. (2005). How much resolution is enough? Comparing daily WRF–ARW forecasts at 2 and 4 km grid spacing in severe convective weather environments during the 2005 SPC/NSSL Spring Program.1 indexed citations
14.
Koch, Steven E., et al.. (2005). THE USE OF SIMULATED RADAR REFLECTIVITY FIELDS IN THE DIAGNOSIS OF MESOSCALE PHENOMENA FROM HIGH-RESOLUTION WRF MODEL FORECASTS.46 indexed citations
Bresch, James F., Monica Cheng, John S. Kain, et al.. (1997). Summary of a mini-workshop on cumulus parameterization for mesoscale models. Bulletin of the American Meteorological Society. 78(3). 475–491.34 indexed citations
19.
Kain, John S.. (1994). Interactions Between Parameterized Convection and Grid-Scale Circulations in a Mesoscale Model.. 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.