J. E. Schemm

958 citations
7 papers · 831 · h-index 6

Impact in

    • Meteorological Phenomena and Simulations
    • Tropical and Extratropical Cyclones Research
    • Precipitation Measurement and Analysis
    • Climate variability and models
    • Atmospheric and Environmental Gas Dynamics
    • Hydrology and Drought Analysis

Papers in

    • Meteorological Phenomena and Simulations 7
    • Tropical and Extratropical Cyclones Research 3
    • Precipitation Measurement and Analysis 1
    • Climate variability and models 7
    • Plant Water Relations and Carbon Dynamics 1

J. E. Schemm

7 papers receiving 800 citations

Peers

J. E. Schemm
Comparison fields: 5 of 32
  • Atmospheric Science 725
  • Global and Planetary Change 791
  • Oceanography 378
  • Environmental Engineering 43
  • Water Science and Technology 20
Replace Yuhei Takaya with:
Yuhei Takaya Japan
H. S. Bedi United States
Martina M. Junge Germany
S. D. Kotal India
Eric L. Altshuler United States
Min‐Seop Ahn United States
Dachao Jin China
R. N. Keshavamurty India
Jürgen Kröger Germany
Jae Schemm United States
J. E. Schemm relative to Yuhei Takaya Japan Yuhei Takaya's profile →
Citations per field
00.5×2×4×6.2×
Yuhei Takaya · 1×
Citations per year

Countries citing papers authored by J. E. Schemm

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Schemm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Schemm. 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 J. E. Schemm. The network helps show where J. E. Schemm may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2008428
2 2000135
3 2007129
4 200084
5 200344
6 20066
7 19885

About J. E. Schemm

J. E. Schemm is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 7 papers that have together received 831 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (7 papers), Climate variability and models (7 papers), Tropical and Extratropical Cyclones Research (3 papers), Oceanographic and Atmospheric Processes (2 papers), Plant Water Relations and Carbon Dynamics (1 paper) and Precipitation Measurement and Analysis (1 paper). The work is most often cited by research in Atmospheric Science (725 citations), Global and Planetary Change (791 citations), Oceanography (378 citations), Environmental Engineering (43 citations) and Water Science and Technology (20 citations). J. E. Schemm has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Arun Kumar, Jagadish Shukla, Jing‐Jia Luo, Jong‐Seong Kug, Toshio Yamagata, Emilia Kyung Jin, In‐Sik Kang, Ben P. Kirtman, B. Wang and James L. Kinter. Their work appears in journals such as Journal of Climate, Climate Dynamics, Monthly Weather Review and Bulletin of the American Meteorological Society.

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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