Jan Barkmeijer

2.8k citations
57 papers · 1.9k indexed · h-index 21
Topics
Climate variability and models (38 papers)Meteorological Phenomena and Simulations (37 papers)Tropical and Extratropical Cyclones Research (11 papers)

In The Last Decade

Jan Barkmeijer

56 papers receiving 1.8k citations

Peers

Jan Barkmeijer
Comparison fields: 5 of 72
  • Atmospheric Science 1.7k
  • Global and Planetary Change 1.6k
  • Oceanography 230
  • Environmental Engineering 215
  • Statistical and Nonlinear Physics 38
Replace Tomislava Vukićević with:
Tomislava Vukićević United States
Michael Fisher United Kingdom
Milija Županski United States
E. Klinker United Kingdom
Ronald Gelaro United States
Mats Hamrud United Kingdom
Yannick Trémolet United Kingdom
Ying-Hwa Kuo United States
Joseph G. Sela United States
Ronald M. Errico United States
Jan Barkmeijer relative to Tomislava Vukićević United States Tomislava Vukićević's profile →
Citations per field
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Tomislava Vukićević · 1×
Citations per year

Countries citing papers authored by Jan Barkmeijer

Since Specialization
Citations

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

Fields of papers citing papers by Jan Barkmeijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Barkmeijer

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Barkmeijer. A scholar is included among the top collaborators of Jan Barkmeijer 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 Jan Barkmeijer. Jan Barkmeijer 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 1
2
Towards assimilation of InSAR data in operational weather models
1
3 3
4 3
5 89
6 7
7 2
8 1
9 16
10 16
11 25
12 40
13 2
14 127
15 55
16 385
17 61
18 7
19
Dynamics and topological invariants of circle endomorphisms
1
20 2

About Jan Barkmeijer

Jan Barkmeijer is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Climate variability and models (38 papers), Meteorological Phenomena and Simulations (37 papers) and Tropical and Extratropical Cyclones Research (11 papers). The work is most often cited by research in Atmospheric Science (1.7k citations), Global and Planetary Change (1.6k citations) and Oceanography (230 citations). Jan Barkmeijer has collaborated with scholars based in Netherlands, United Kingdom and Norway. Frequent co-authors include T. N. Palmer, Roberto Buizza, Ronald Gelaro, G. van der Schrier, Kamal Puri, Martin B. van Gijzen, Lorna Smith, François Bouttier, David Orrell and Gerard van der Schrier. Their work appears in journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and Nature Climate Change.

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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