Kyle P. Larson

2.9k citations
113 papers · 2.3k indexed · h-index 25

Impact in

  • Geophysics top 0.5%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geochemistry and Geologic Mapping

Papers in

    • Geological and Geochemical Analysis 108
    • earthquake and tectonic studies 94
    • High-pressure geophysics and materials 59
    • Geochemistry and Geologic Mapping 38

Kyle P. Larson

103 papers receiving 2.2k citations

Peers

Kyle P. Larson
Comparison fields: 5 of 47
  • Geophysics 2.2k
  • Artificial Intelligence 591
  • Geochemistry and Petrology 69
  • Geology 54
  • Paleontology 61
Replace Dawn A. Kellett with:
Dawn A. Kellett Canada
Dario Visonà Italy
Santanu Kumar Bhowmik India
Jérôme Ganne France
Laurence Page Sweden
Sean P. Long United States
C. D. Rowe Canada
Francisco Gutiérrez Chile
Keegan L. Schmidt United States
Zhengle Chen China
Kyle P. Larson relative to Dawn A. Kellett Canada Dawn A. Kellett's profile →
Citations per field
00.5×1.7×
Dawn A. Kellett · 1×
Citations per year

Countries citing papers authored by Kyle P. Larson

Since Specialization
Citations

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

Fields of papers citing papers by Kyle P. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle P. Larson. 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 Kyle P. Larson. The network helps show where Kyle P. Larson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
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18 201922
19
A geological journey through the deepest gorge on Earth:the Kali Gandaki valley section, west-central Nepal
201411
20
Orogenic superstructure behaviour and mid-crustal plastic flow in the central Nepal Himalaya
20073

About Kyle P. Larson

Kyle P. Larson is a scholar working on Geophysics, Artificial Intelligence, Atmospheric Science, Geology and Paleontology, having authored 113 papers that have together received 2.3k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (108 papers), earthquake and tectonic studies (94 papers), High-pressure geophysics and materials (59 papers), Geochemistry and Geologic Mapping (38 papers), Geology and Paleoclimatology Research (9 papers), Geological and Geophysical Studies (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Rock Mechanics and Modeling (3 papers). The work is most often cited by research in Geophysics (2.2k citations), Artificial Intelligence (591 citations), Geochemistry and Petrology (69 citations), Geology (54 citations) and Paleontology (61 citations). Kyle P. Larson has collaborated with scholars based in Canada, United States and China. Frequent co-authors include John M. Cottle, Laurent Godin, Dawn A. Kellett, A. Alexander G. Webb, Richard D. Law, Micah J. Jessup, M. J. Streule, M. P. Searle, R A Price and Mathieu Soret. Their work appears in journals such as Tectonics, Lithos, Geoscience Frontiers, Journal of Structural Geology and Canadian Journal of Earth Sciences.

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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