Gerard Cats

611 citations
25 papers · 247 · h-index 9

Impact in

    • Meteorological Phenomena and Simulations
    • Tropical and Extratropical Cyclones Research
  • Oceanography top 10%
    • Ocean Waves and Remote Sensing
    • Oceanographic and Atmospheric Processes

Papers in

Gerard Cats

23 papers receiving 212 citations

Peers

Gerard Cats
Comparison fields: 5 of 49
  • Atmospheric Science 138
  • Oceanography 59
  • Global and Planetary Change 85
  • Hardware and Architecture 21
  • Environmental Engineering 38
Replace M. Suarez with:
M. Suarez United States
S. Sankaranarayanan United States
Stefan Lehmann Germany
Shintaro Kawahara Japan
Jinrong Jiang China
Janusz Filipiak Poland
Michael J. Mineter United Kingdom
Doug Jacobsen United States
Evan Manning United States
Willem Deconinck United Kingdom
Gerard Cats relative to M. Suarez United States M. Suarez's profile →
Citations per field
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Countries citing papers authored by Gerard Cats

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Cats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard Cats. 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 Gerard Cats. The network helps show where Gerard Cats may publish in the future.

Co-authors

The 19 scholars most cited alongside Gerard Cats, 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 Gerard Cats Line = papers co-authored together Gerard Cats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198542
2 199634
3 198021
4 199121
5 199619
6 199718
7 198415
8 201810
9 19868
10 19808
11 20108
12 19947
13 19957
14 20126
15 20024
16 19974
17 20133
18 19943
19 20042
20 20042

About Gerard Cats

Gerard Cats is a scholar working on Atmospheric Science, Computer Networks and Communications, Global and Planetary Change, Artificial Intelligence and Hardware and Architecture, having authored 25 papers that have together received 247 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (17 papers), Climate variability and models (5 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (5 papers), Computational Physics and Python Applications (4 papers), Precipitation Measurement and Analysis (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Numerical Methods and Algorithms (2 papers). The work is most often cited by research in Atmospheric Science (138 citations), Oceanography (59 citations), Global and Planetary Change (85 citations), Hardware and Architecture (21 citations) and Environmental Engineering (38 citations). Gerard Cats has collaborated with scholars based in Netherlands, Sweden and Türkiye. Frequent co-authors include Lex Wolters, Robert van Engelen, Ad Stoffelen, A.A.M. Holtslag, K. Arpe, Nils Gustafsson, Andrew C. Lorenc, M. Steven Tracton, P. Kållberg and Bruce Hollingsworth. Their work appears in journals such as Monthly Weather Review, Applied Numerical Mathematics, Quarterly Journal of the Royal Meteorological Society, CLEAN - Soil Air Water and Scientific Programming.

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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