Robert C. J. Wills

2.1k citations
36 papers · 1.3k indexed · 1 hit paper · h-index 23
Topics
Climate variability and models (29 papers)Meteorological Phenomena and Simulations (20 papers)Oceanographic and Atmospheric Processes (19 papers)

In The Last Decade

Robert C. J. Wills

35 papers receiving 1.3k citations

Hit Papers

Systematic Climate Model Biases in the Large‐Scale Patter...2022202620232024202250100150

Peers

Robert C. J. Wills
Comparison fields: 5 of 58
  • Atmospheric Science 986
  • Global and Planetary Change 945
  • Oceanography 537
  • Environmental Chemistry 138
  • Ecology 127
Replace Sang‐Ik Shin with:
Sang‐Ik Shin United States
Synte Peacock United States
H. Goosse Belgium
T. Fichefet Belgium
Odd Helge Otterå Norway
Youichi Kamae Japan
J. Jungclaus Germany
Natalie Burls United States
Taiyi Xu United States
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Robert C. J. Wills relative to Sang‐Ik Shin United States Sang‐Ik Shin's profile →
Citations per field
00.5×4.4×
Sang‐Ik Shin · 1×
Citations per year

Countries citing papers authored by Robert C. J. Wills

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. J. Wills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. J. Wills. 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 Robert C. J. Wills. The network helps show where Robert C. J. Wills may publish in the future.

Co-authorship network of co-authors of Robert C. J. Wills

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. J. Wills. A scholar is included among the top collaborators of Robert C. J. Wills 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 Robert C. J. Wills. Robert C. J. Wills 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 6
2 0
3 2
4 30
5 15
6 4
7 2
8 41
9 22
10 26
11
Systematic Climate Model Biases in the Large‐Scale Patterns of Recent Sea‐Surface Temperature and Sea‐Level Pressure Changebreakdown →
158
12 41
13 28
14 10
15 43
16 57
17 32
18 78
19 22
20 75

About Robert C. J. Wills

Robert C. J. Wills is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Climate variability and models (29 papers), Meteorological Phenomena and Simulations (20 papers) and Oceanographic and Atmospheric Processes (19 papers). The work is most often cited by research in Atmospheric Science (986 citations), Global and Planetary Change (945 citations) and Oceanography (537 citations). Robert C. J. Wills has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Tapio Schneider, David S. Battisti, Kyle C. Armour, Dennis L. Hartmann, Xavier J. Levine, Yue Dong, Rachel H. White, William R. Gray, Cristian Proistosescu and Andrea Burke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Geophysical Research Letters.

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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