Julia V. Manganello

1.4k citations
19 papers · 1.0k indexed · h-index 15
Topics
Climate variability and models (18 papers)Meteorological Phenomena and Simulations (13 papers)Tropical and Extratropical Cyclones Research (11 papers)

In The Last Decade

Julia V. Manganello

18 papers receiving 1.0k citations

Peers

Julia V. Manganello
Comparison fields: 5 of 32
  • Global and Planetary Change 987
  • Atmospheric Science 942
  • Oceanography 353
  • Environmental Engineering 41
  • Water Science and Technology 26
Replace Eric Altshuler with:
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Peter Towers United Kingdom
Matt Hawcroft United Kingdom
Weichen Tao China
Zhun Guo China
K. P. Sooraj India
Xinyao Rong China
Min‐Seop Ahn United States
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Julia V. Manganello relative to Eric Altshuler United States Eric Altshuler's profile →
Citations per field
00.5×1.5×
Eric Altshuler · 1×
Citations per year

Countries citing papers authored by Julia V. Manganello

Since Specialization
Citations

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

Fields of papers citing papers by Julia V. Manganello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia V. Manganello. 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 Julia V. Manganello. The network helps show where Julia V. Manganello may publish in the future.

Co-authorship network of co-authors of Julia V. Manganello

This figure shows the co-authorship network connecting the top 25 collaborators of Julia V. Manganello. A scholar is included among the top collaborators of Julia V. Manganello 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 Julia V. Manganello. Julia V. Manganello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 0
3 5
4 24
5 15
6 17
7 40
8 34
9 18
10 29
11 54
12 110
13 162
14 52
15 189
16 88
17 45
18 8
19 136

About Julia V. Manganello

Julia V. Manganello is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Climate variability and models (18 papers), Meteorological Phenomena and Simulations (13 papers) and Tropical and Extratropical Cyclones Research (11 papers). The work is most often cited by research in Atmospheric Science (942 citations), Global and Planetary Change (987 citations) and Oceanography (353 citations). Julia V. Manganello has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include James L. Kinter, Benjamin A. Cash, Bohua Huang, Eric Altshuler, Peter Towers, Thomas Jung, Nils Wedi, Jennifer Adams, Emilia Kyung Jin and L. Marx. Their work appears in journals such as Journal of Climate, 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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