C. N. Long

967 citations
7 papers · 742 · h-index 5

Impact in

    • Atmospheric aerosols and clouds
    • Climate variability and models
    • Atmospheric chemistry and aerosols
    • Meteorological Phenomena and Simulations
    • Atmospheric Ozone and Climate

Papers in

    • Atmospheric aerosols and clouds 6
    • Climate variability and models 2
    • Atmospheric and Environmental Gas Dynamics 1
    • Atmospheric chemistry and aerosols 3
    • Meteorological Phenomena and Simulations 3

C. N. Long

7 papers receiving 717 citations

Peers

C. N. Long
Comparison fields: 5 of 62
  • Global and Planetary Change 417
  • Atmospheric Science 286
  • Media Technology 83
  • Artificial Intelligence 295
  • Renewable Energy, Sustainability and the Environment 105
Replace Jeff Sabburg with:
Jeff Sabburg Australia
Paolo Pili Germany
D. Reinke United States
Alain Ratier Germany
Sergio Rota Germany
Luca Bugliaro Germany
Huazhe Shang China
Gerhard Gesell Germany
Giuseppe Mazzeo Italy
Ulrich Hamann Switzerland
C. N. Long relative to Jeff Sabburg Australia Jeff Sabburg's profile →
Citations per field
00.5×1.5×
Jeff Sabburg · 1×
Citations per year

Countries citing papers authored by C. N. Long

Since Specialization
Citations

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

Fields of papers citing papers by C. N. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. N. Long. 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 C. N. Long. The network helps show where C. N. Long may publish in the future.

Co-authors

The 24 scholars most cited alongside C. N. Long, 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 C. N. Long Line = papers co-authored together C. N. Long links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About C. N. Long

C. N. Long is a scholar working on Global and Planetary Change, Atmospheric Science, Ecology, Artificial Intelligence and Earth-Surface Processes, having authored 7 papers that have together received 742 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (6 papers), Atmospheric chemistry and aerosols (3 papers), Meteorological Phenomena and Simulations (3 papers), Climate variability and models (2 papers), Remote Sensing in Agriculture (1 paper), Solar Radiation and Photovoltaics (1 paper), Aeolian processes and effects (1 paper) and Atmospheric and Environmental Gas Dynamics (1 paper). The work is most often cited by research in Global and Planetary Change (417 citations), Atmospheric Science (286 citations), Media Technology (83 citations), Artificial Intelligence (295 citations) and Renewable Energy, Sustainability and the Environment (105 citations). C. N. Long has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include D. Pagès, Josep Calbó, Jeff Sabburg, Ellsworth G Dutton, A. Ohmura, Andreas Roesch, Martin Wild, Xiaodong Liu, S. J. Ghan and Jimy Dudhia. Their work appears in journals such as Atmospheric chemistry and physics, Atmospheric measurement techniques, Journal of Atmospheric and Oceanic Technology and Journal of Geophysical Research Atmospheres.

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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