Jon Lea

663 citations
6 papers · 418 · h-index 5

Impact in

    • Cryospheric studies and observations
    • Climate change and permafrost
    • Arctic and Antarctic ice dynamics
    • Precipitation Measurement and Analysis
    • Hydrology and Watershed Management Studies

Papers in

Jon Lea

6 papers receiving 406 citations

Peers

Jon Lea
Comparison fields: 5 of 49
  • Atmospheric Science 333
  • Water Science and Technology 117
  • Management, Monitoring, Policy and Law 80
  • Environmental Engineering 45
  • Global and Planetary Change 59
Replace S. Anderton with:
S. Anderton United Kingdom
Ryan Webb United States
Monika Prasch Germany
Daiji Kobayashi Japan
I. M. Bahuguna India
Nicholas Kinar Canada
Maheswor Shrestha Japan
Shufen Sun China
Sarah G. Evans United States
Takafumi Katsushima Japan
Jon Lea relative to S. Anderton United Kingdom S. Anderton's profile →
Citations per field
00.5×5.5×
S. Anderton · 1×
Citations per year

Countries citing papers authored by Jon Lea

Since Specialization
Citations

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

Fields of papers citing papers by Jon Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Jon Lea, 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 Jon Lea Line = papers co-authored together Jon Lea links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2010364
2 199528
3 199510
4 201210
5 19955
6 20201

About Jon Lea

Jon Lea is a scholar working on Surgery, Biomedical Engineering, Civil and Structural Engineering, Oceanography and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 418 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (2 papers), Surgical Simulation and Training (2 papers), Advanced Radiotherapy Techniques (1 paper), AI-based Problem Solving and Planning (1 paper), Soft Robotics and Applications (1 paper), Geotechnical Engineering and Underground Structures (1 paper), Climate change and permafrost (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Atmospheric Science (333 citations), Water Science and Technology (117 citations), Management, Monitoring, Policy and Law (80 citations), Environmental Engineering (45 citations) and Global and Planetary Change (59 citations). Jon Lea has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Glen E. Liston, Brian D. Taras, Matthew Sturm, Chris Derksen, Tobias Jonas, Michael A. Peshkin, S. David Stulberg, John Harvey, Jeremy Lea and Hongduo Zhao. Their work appears in journals such as International Journal of Pavement Engineering, Medical dosimetry, Computer Aided Surgery, Journal of Hydrometeorology and PubMed.

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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