Maurice Schmeits

1.5k citations
40 papers · 1.1k indexed · h-index 18
Topics
Meteorological Phenomena and Simulations (23 papers)Climate variability and models (21 papers)Precipitation Measurement and Analysis (6 papers)

In The Last Decade

Maurice Schmeits

37 papers receiving 1.1k citations

Peers

Maurice Schmeits
Comparison fields: 5 of 71
  • Atmospheric Science 811
  • Global and Planetary Change 570
  • Oceanography 161
  • Environmental Engineering 150
  • Artificial Intelligence 88
Replace Didier Ramon with:
Didier Ramon France
Rob Roebeling Netherlands
Kun Shang China
Daisuke Nohara Japan
A. Serrano Spain
Jochen Förstner Germany
Jaymes S. Kenyon United States
Carolin Richter Switzerland
Idar Barstad Norway
Claire E. Bulgin United Kingdom
Maurice Schmeits relative to Didier Ramon France Didier Ramon's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Maurice Schmeits

Since Specialization
Citations

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

Fields of papers citing papers by Maurice Schmeits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Schmeits

This figure shows the co-authorship network connecting the top 25 collaborators of Maurice Schmeits. A scholar is included among the top collaborators of Maurice Schmeits 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 Maurice Schmeits. Maurice Schmeits 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 0
2 10
3 11
4 6
5 30
6 49
7 14
8 23
9 1
10
A comparative verification of raw and bias-corrected ECMWF seasonal ensemble precipitation forecasts in Java (Indonesia)
1
11
Probabilistic forecasts of extreme local precipitation using HARMONIE predictors and comparing 3 different post-processing methods
1
12 21
13 32
14 19
15
Kansverwachtingen voor onweer ten behoeve van uitgifte Weeralarm (KOUW)
1
16 95
17 29
18 5
19 64
20 27

About Maurice Schmeits

Maurice Schmeits is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (23 papers), Climate variability and models (21 papers) and Precipitation Measurement and Analysis (6 papers). The work is most often cited by research in Atmospheric Science (811 citations), Global and Planetary Change (570 citations) and Oceanography (161 citations). Maurice Schmeits has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Henk A. Dijkstra, Kirien Whan, Kees Kok, J. Oerlemans, Wouter Knap, Jakob Wallinga, Arjen P. Stroeven, Zhiyan Zuo, Brian Anderson and Alun Hubbard. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Monthly Weather Review.

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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