Kate Marvel

4.9k citations
33 papers · 2.2k indexed · 2 hit papers · h-index 19

Kate Marvel

31 papers receiving 2.2k citations

Hit Papers

Climate simulations: recognize the ‘hot model’ problem3012020202620222024200400600

Peers

Kate Marvel
Comparison fields: 5 of 113
  • Global and Planetary Change 1.8k
  • Atmospheric Science 1.1k
  • Water Science and Technology 308
  • Oceanography 158
  • Ecological Modeling 52
Replace Silvina A. Solman with:
Silvina A. Solman Argentina
Matilde Rusticucci Argentina
Manola Brunet Spain
Zongci Zhao China
Yongli He China
Gerald A. Meehl United States
Roberto Rondanelli Chile
Paola A. Arias Colombia
D. Bronaugh Canada
J. V. Revadekar India
Kate Marvel relative to Silvina A. Solman Argentina Silvina A. Solman's profile →
Citations per field
00.5×
Silvina A. Solman · 1×
Citations per year

Countries citing papers authored by Kate Marvel

Since Specialization
Citations

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

Fields of papers citing papers by Kate Marvel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kate Marvel, 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 Kate Marvel Line = papers co-authored together Kate Marvel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20251
5 20248
6 202322
7 20231
8 20229
9 20225
10 202030
11 202093
12
Twenty‐First Century Drought Projections in the CMIP6 Forcing Scenariosbreakdown →
2020670
13 2019234
14 20179
15 201737
16 201616
17 2015105
18 201592
19 2013195
20 2012103

About Kate Marvel

Kate Marvel is a scholar working on Global and Planetary Change, Atmospheric Science, Ecology, Evolution, Behavior and Systematics, Condensed Matter Physics and Statistical and Nonlinear Physics, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Climate variability and models (28 papers), Atmospheric and Environmental Gas Dynamics (12 papers), Meteorological Phenomena and Simulations (10 papers), Hydrology and Drought Analysis (10 papers), Plant Water Relations and Carbon Dynamics (6 papers), Atmospheric chemistry and aerosols (5 papers), Tree-ring climate responses (4 papers) and Atmospheric aerosols and clouds (3 papers). The work is most often cited by research in Global and Planetary Change (1.8k citations), Atmospheric Science (1.1k citations), Water Science and Technology (308 citations), Oceanography (158 citations) and Ecological Modeling (52 citations). Kate Marvel has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include C. Bonfils, Benjamin I. Cook, Jason E. Smerdon, Park Williams, Justin Mankin, Kevin J. Anchukaitis, Gavin A. Schmidt, Mark D. Zelinka, Zeke Hausfather and John W. Nielsen‐Gammon. Their work appears in journals such as Journal of Climate, Environmental Research Letters, Earth s Future, Nature Climate Change and Nature.

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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