Nathan Case

602 citations
25 papers · 376 indexed · h-index 10

Impact in

    • Ionosphere and magnetosphere dynamics
    • Solar and Space Plasma Dynamics
    • Astro and Planetary Science
  • Geophysics top 10%
    • Earthquake Detection and Analysis

Papers in

Nathan Case

25 papers receiving 373 citations

Peers

Nathan Case
Comparison fields: 5 of 56
  • Astronomy and Astrophysics 310
  • Geophysics 99
  • Atmospheric Science 61
  • Global and Planetary Change 54
  • Health Informatics 3
Replace Г. А. Жеребцов with:
Г. А. Жеребцов Russia
Petra Koucká Knížová Czechia
N.A. Korenkova Russia
J. Correira United States
Yen‐Jung Wu United States
Chunxiao Yan China
Z. Liu China
T. K. Ramkumar India
Ryan McGranaghan United States
Zbyšek Mošna Czechia
Nathan Case relative to Г. А. Жеребцов Russia Г. А. Жеребцов's profile →
Citations per field
00.5×8.3×
Г. А. Жеребцов · 1×
Citations per year

Countries citing papers authored by Nathan Case

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018110
2 201543
3 201337
4 201135
5 202030
6 201515
7 201813
8 201512
9 201811
10 201610
11 20209
12 20169
13 20186
14 20166
15 20204
16 20174
17 20144
18 20204
19
HYBRID COMMUNITY PARTICIPATION IN CROWDSOURCED EARLY WARNING SYSTEMS
20154
20 20213

About Nathan Case

Nathan Case is a scholar working on Astronomy and Astrophysics, Atmospheric Science, Transportation, Communication and Global and Planetary Change, having authored 25 papers that have together received 376 indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (15 papers), Solar and Space Plasma Dynamics (11 papers), Geomagnetism and Paleomagnetism Studies (9 papers), Atmospheric Ozone and Climate (6 papers), Meteorological Phenomena and Simulations (3 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Data Visualization and Analytics (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Astronomy and Astrophysics (310 citations), Geophysics (99 citations), Atmospheric Science (61 citations), Global and Planetary Change (54 citations) and Health Informatics (3 citations). Nathan Case has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include J. A. Wild, E. MacDonald, M. Heavner, Burcu Kosar, Andrea Tapia, Nicolas LaLone, Ian Schofield, B. J. Jackel, Martin Connors and D. M. Gillies. Their work appears in journals such as Earth and Space Science, Journal of Geophysical Research Atmospheres, Space Weather, Annales Geophysicae and Science Advances.

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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