Kevin W. Manning

10.7k citations
40 papers · 7.1k indexed · 4 hit papers · h-index 28
Topics
Climate variability and models (27 papers)Meteorological Phenomena and Simulations (26 papers)Cryospheric studies and observations (20 papers)

In The Last Decade

Kevin W. Manning

40 papers receiving 7.0k citations

Hit Papers

The community Noah land surface model with multiparameter...2004202620112018201120102004201150010001.5k2.0k

Peers

Kevin W. Manning
Comparison fields: 5 of 97
  • Atmospheric Science 5.4k
  • Global and Planetary Change 5.2k
  • Environmental Engineering 1.9k
  • Water Science and Technology 855
  • Health, Toxicology and Mutagenesis 387
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Kevin W. Manning relative to Michael Barlage United States Michael Barlage's profile →
Citations per field
00.5×1.5×
Michael Barlage · 1×
Citations per year

Countries citing papers authored by Kevin W. Manning

Since Specialization
Citations

This map shows the geographic impact of Kevin W. Manning'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 Kevin W. Manning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin W. Manning more than expected).

Fields of papers citing papers by Kevin W. Manning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin W. Manning. 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 Kevin W. Manning. The network helps show where Kevin W. Manning may publish in the future.

Co-authorship network of co-authors of Kevin W. Manning

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin W. Manning. A scholar is included among the top collaborators of Kevin W. Manning 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 Kevin W. Manning. Kevin W. Manning 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
#WorkIndexed citations
1 11
2 3
3 7
4 15
5 31
6 26
7 75
8 12
9 140
10
The integrated WRF/urban modelling system: development, evaluation, and applications to urban environmental problemsbreakdown →
959
11 8
12 67
13 40
14 86
15
NCAR High-resolution Land Data Assimilation System and Its Recent Applications
1
16 259
17 92
18
Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysisbreakdown →
951
19 42
20 121

About Kevin W. Manning

Kevin W. Manning is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 40 papers that have together received 7.1k indexed citations. Recurring topics across this work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (26 papers) and Cryospheric studies and observations (20 papers). The work is most often cited by research in Atmospheric Science (5.4k citations), Global and Planetary Change (5.2k citations) and Environmental Engineering (1.9k citations). Kevin W. Manning has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Fei Chen, Roy Rasmussen, Mukul Tewari, Gregory Thompson, Dev Niyogi, Michael Barlage, Kenneth E. Mitchell, Zong‐Liang Yang, Youlong Xia and Michael Ek. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Journal of the Atmospheric Sciences.

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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