John S. Kain

13.4k citations

60 papers · 9.1k · 2 hit papers · h-index 35

Impact in

Atmospheric Science top 0.1%
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
- Atmospheric chemistry and aerosols
Global and Planetary Change top 0.1%
- Climate variability and models
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics

Papers in

Atmospheric Science 57
- Meteorological Phenomena and Simulations 57
- Tropical and Extratropical Cyclones Research 21
- Precipitation Measurement and Analysis 3
- Atmospheric chemistry and aerosols 3
Global and Planetary Change 52
- Climate variability and models 46
- Atmospheric and Environmental Gas Dynamics 9
- Atmospheric aerosols and clouds 7

Co-authors: J. Michael Fritsch (5 shared papers)Steven J. Weiss (20 shared papers)Michael E. Baldwin (12 shared papers)Jason J. Levit (9 shared papers)David R. Bright (8 shared papers)Michael C. Coniglio (14 shared papers)Kevin W. Thomas (9 shared papers)Ming Xue (12 shared papers)
Journals: Weather and Forecasting (25 papers)Monthly Weather Review (8 papers)Bulletin of the American Meteorological Society (5 papers)Journal of the Atmospheric Sciences (5 papers)Journal of Geophysical Research Atmospheres (2 papers)
Partner nations: United States Taiwan Türkiye

In The Last Decade

John S. Kain

59 papers receiving 8.8k citations

John S. Kain's Hit Papers

align trajectories log scale

The Kain–Fritsch Convective Parameterization: An Update 2004 · 4.0k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2004 Journal of Applied Meteorology
1990 Journal of the Atmospheric Sciences

Peers

Countries citing papers authored by John S. Kain

Since Specialization

Citations

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).

Fields of papers citing papers by John S. Kain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside John S. Kain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John S. Kain Line = papers co-authored together John S. Kain links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	The Kain–Fritsch Convective Parameterization: An Update Journal of Applied Meteorology ·John S. Kain Hit paper breakdown →	2004	4031
2	A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization Journal of the Atmospheric Sciences ·John S. Kain, J. Michael Fritsch Hit paper breakdown →	1990	1728
3	Some Practical Considerations Regarding Horizontal Resolution in the First Generation of Operational Convection-Allowing NWP Weather and Forecasting ·John S. Kain, Steven J. Weiss, David R. Bright, Michael E. Baldwin, Jason J. Levit, Gregory W. Carbin, Craig S. Schwartz, Morris L. Weisman, Kelvin K. Droegemeier, Daniel Weber, Kevin W. Thomas	2008	415
4	Toward Improved Convection-Allowing Ensembles: Model Physics Sensitivities and Optimizing Probabilistic Guidance with Small Ensemble Membership Weather and Forecasting ·Craig S. Schwartz, John S. Kain, Steven J. Weiss, Ming Xue, David R. Bright, Fanyou Kong, Kevin W. Thomas, Jason J. Levit, Michael C. Coniglio, Matthew S. Wandishin	2009	214
5	Next-Day Convection-Allowing WRF Model Guidance: A Second Look at 2-km versus 4-km Grid Spacing Monthly Weather Review ·Craig S. Schwartz, John S. Kain, Steven J. Weiss, Ming Xue, David R. Bright, Fanyou Kong, Kevin W. Thomas, Jason J. Levit, Michael C. Coniglio	2009	203
6	Examination of Convection-Allowing Configurations of the WRF Model for the Prediction of Severe Convective Weather: The SPC/NSSL Spring Program 2004 Weather and Forecasting ·John S. Kain, Steven J. Weiss, Jason J. Levit, Michael E. Baldwin, David R. Bright	2006	185
7	The role of the convective ?trigger function? in numerical forecasts of mesoscale convective systems Meteorology and Atmospheric Physics ·John S. Kain, J. Michael Fritsch	1992	165
8	Warm Core Vortex Amplification over Land Journal of the Atmospheric Sciences ·J. Michael Fritsch, J. Diarmuid Murphy, John S. Kain	1994	150
9	Probabilistic Forecast Guidance for Severe Thunderstorms Based on the Identification of Extreme Phenomena in Convection-Allowing Model Forecasts Weather and Forecasting ·Ryan A. Sobash, John S. Kain, David R. Bright, Andrew R. Dean, Michael C. Coniglio, Steven J. Weiss	2011	118
10	Probabilistic Precipitation Forecast Skill as a Function of Ensemble Size and Spatial Scale in a Convection-Allowing Ensemble Monthly Weather Review ·Adam J. Clark, John S. Kain, David J. Stensrud, Ming Xue, Fanyou Kong, Michael C. Coniglio, Kevin W. Thomas, Yunheng Wang, Keith Brewster, Jidong Gao, Xuguang Wang, Steven J. Weiss, Jun Du	2011	115
11	Introducing subgrid‐scale cloud feedbacks to radiation for regional meteorological and climate modeling Geophysical Research Letters ·Kiran Alapaty, Jerold A. Herwehe, Tanya L. Otte, Christopher G. Nolte, O. Russell Bullock, Megan S. Mallard, John S. Kain, Jimy Dudhia	2012	102
12	A Feasibility Study for Probabilistic Convection Initiation Forecasts Based on Explicit Numerical Guidance Bulletin of the American Meteorological Society ·John S. Kain, Michael C. Coniglio, James Correia, Adam J. Clark, Patrick T. Marsh, Conrad L. Ziegler, Valliappa Lakshmanan, Stuart D. Miller, Scott R. Dembek, Steven J. Weiss, Fanyou Kong, Ming Xue, Ryan A. Sobash, Andrew R. Dean, Israel L. Jirak, Christopher J. Melick	2013	92
13	Sensitivity of Several Performance Measures to Displacement Error, Bias, and Event Frequency Weather and Forecasting ·Michael E. Baldwin, John S. Kain	2006	90
14	Extracting Unique Information from High-Resolution Forecast Models: Monitoring Selected Fields and Phenomena Every Time Step Weather and Forecasting ·John S. Kain, Scott R. Dembek, Steven J. Weiss, Jonathan L. Case, Jason J. Levit, Ryan A. Sobash	2010	87
15	Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research Environment Weather and Forecasting ·John S. Kain, Ming Xue, Michael C. Coniglio, Steven J. Weiss, Fanyou Kong, Tara Jensen, Barbara G. Brown, Jidong Gao, Keith Brewster, Kevin W. Thomas, Yunheng Wang, Craig S. Schwartz, Jason J. Levit	2010	76
16	Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity Weather and Forecasting ·Adam J. Clark, Jidong Gao, Patrick T. Marsh, Travis M. Smith, John S. Kain, James Correia, Ming Xue, Fanyou Kong	2013	71
17	Forecasting Tornado Pathlengths Using a Three-Dimensional Object Identification Algorithm Applied to Convection-Allowing Forecasts Weather and Forecasting ·Adam J. Clark, John S. Kain, Patrick T. Marsh, James Correia, Ming Xue, Fanyou Kong	2012	69
18	The Melting Effect as a Factor in Precipitation-Type Forecasting Weather and Forecasting ·John S. Kain, Stephen M. Goss, Michael E. Baldwin	2000	61
19	Multiscale Convective Overturning in Mesoscale Convective Systems: Reconciling Observations, Simulations, and Theory Monthly Weather Review ·John S. Kain, J. Michael Fritsch	1998	57
20	Regional Climate Model Simulation of U.S.–Mexico Summer Precipitation Using the Optimal Ensemble of Two Cumulus Parameterizations Journal of Climate ·Xin‐Zhong Liang, Min Xu, Kenneth E. Kunkel, Georg Grell, John S. Kain	2007	55

About John S. Kain

John S. Kain is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Oceanography and Artificial Intelligence, having authored 60 papers that have together received 9.1k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (57 papers), Climate variability and models (46 papers), Tropical and Extratropical Cyclones Research (21 papers), Atmospheric and Environmental Gas Dynamics (9 papers), Wind and Air Flow Studies (8 papers), Atmospheric aerosols and clouds (7 papers), Precipitation Measurement and Analysis (3 papers) and Atmospheric chemistry and aerosols (3 papers). The work is most often cited by research in Atmospheric Science (8.6k citations), Global and Planetary Change (7.9k citations), Environmental Engineering (1.4k citations), Oceanography (661 citations) and Health, Toxicology and Mutagenesis (284 citations). John S. Kain has collaborated with scholars based in United States, Taiwan and Türkiye. Frequent co-authors include J. Michael Fritsch, Steven J. Weiss, Michael E. Baldwin, Jason J. Levit, David R. Bright, Michael C. Coniglio, Kevin W. Thomas, Ming Xue, Craig S. Schwartz and Fanyou Kong. Their work appears in journals such as Weather and Forecasting, Monthly Weather Review, Bulletin of the American Meteorological Society, Journal of the Atmospheric Sciences and Journal of Geophysical Research Atmospheres.

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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John S. Kain

John S. Kain's Hit Papers

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