Jennifer M. Garrison

605 citations
15 papers · 504 indexed · h-index 10
Topics
Geological and Geochemical Analysis (13 papers)earthquake and tectonic studies (9 papers)High-pressure geophysics and materials (7 papers)

In The Last Decade

Jennifer M. Garrison

14 papers receiving 492 citations

Peers

Jennifer M. Garrison
Comparison fields: 5 of 39
  • Geophysics 473
  • Artificial Intelligence 156
  • Atmospheric Science 68
  • Geochemistry and Petrology 24
  • Paleontology 20
Replace Craig Cook with:
Craig Cook Australia
A. Heumann Germany
Luisa Guarnieri Italy
Anubha Bhandari India
P. W. van Calsteren United Kingdom
Allison A. Price United States
Brandon Browne United States
Aya Katsube Japan
Heather A. Bleick United States
Tanya A. Ewing Switzerland
Jennifer M. Garrison relative to Craig Cook Australia Craig Cook's profile →
Citations per field
00.5×5.4×
Craig Cook · 1×
Citations per year

Countries citing papers authored by Jennifer M. Garrison

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Garrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. Garrison. 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 Jennifer M. Garrison. The network helps show where Jennifer M. Garrison may publish in the future.

Co-authorship network of co-authors of Jennifer M. Garrison

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 2
3 10
4 34
5 17
6 12
7 16
8 35
9
(226Ra)/(230Th) Disequilibrium and Amphibole Crystallization in Rhyodacite From Ilopango Caldera, El Salvador
1
10 45
11 37
12 4
13 136
14
Recycling of the Chalupas pluton at Cotopaxi volcano, NVZ, Ecuador: Evidence from 238U-230Th disequilibria
3
15 152

About Jennifer M. Garrison

Jennifer M. Garrison is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science, having authored 15 papers that have together received 504 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (13 papers), earthquake and tectonic studies (9 papers) and High-pressure geophysics and materials (7 papers). The work is most often cited by research in Geophysics (473 citations), Artificial Intelligence (156 citations) and Geochemistry and Petrology (24 citations). Jennifer M. Garrison has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jon P. Davidson, John M. Hora, Michael A. Dungan, Mark K. Reagan, M. R. Reid, Patricia Mothes, Simon Turner, Minard L. Hall, John Caulfield and Mike Sandiford. Their work appears in journals such as Geochimica et Cosmochimica Acta, Earth and Planetary Science Letters and Geology.

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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