Chris J. Schultz
Impact in
- Astronomy and Astrophysics top 10%
- Lightning and Electromagnetic Phenomena
- Ionosphere and magnetosphere dynamics
- Global and Planetary Change top 5%
- Fire effects on ecosystems
- Atmospheric aerosols and clouds
- Climate variability and models
Papers in
-
- Meteorological Phenomena and Simulations 2
- Precipitation Measurement and Analysis 1
-
- Atmospheric aerosols and clouds 1
- Fire effects on ecosystems 1
- Co-authors
- Douglas Michael Mach (1 shared paper)Eugene W. McCaul (1 shared paper)William J. Koshak (1 shared paper)Steven J. Goodman (1 shared paper)Larry Carey (1 shared paper)Geoffrey T. Stano (1 shared paper)Jeffrey C. Bailey (1 shared paper)Monte G. Bateman (1 shared paper)
- Journals
- Atmospheric Research (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Advances in geosciences (1 paper)Physics and Imaging in Radiation Oncology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Chris J. Schultz
4 papers receiving 569 citations
Chris J. Schultz's Hit Papers
Peers
Comparison fields: 5 of 52
- Astronomy and Astrophysics 282
- Global and Planetary Change 356
- Atmospheric Science 273
- Radiation 51
- Environmental Engineering 58
Countries citing papers authored by Chris J. Schultz
This map shows the geographic impact of Chris J. Schultz'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 Chris J. Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris J. Schultz more than expected).
Fields of papers citing papers by Chris J. Schultz
This network shows the impact of papers produced by Chris J. Schultz. 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 Chris J. Schultz. The network helps show where Chris J. Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris J. Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The GOES-R Geostationary Lightning Mapper (GLM) Hit paper breakdown → | 2013 | 418 |
| 2 | 2011 | 84 | |
| 3 | 2008 | 76 | |
| 4 | 2023 | 5 |
About Chris J. Schultz
Chris J. Schultz is a scholar working on Atmospheric Science, Global and Planetary Change, Radiation, Astronomy and Astrophysics and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 583 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (2 papers), Advanced Radiotherapy Techniques (1 paper), Precipitation Measurement and Analysis (1 paper), Advanced X-ray and CT Imaging (1 paper), Atmospheric aerosols and clouds (1 paper), Fire effects on ecosystems (1 paper), Lightning and Electromagnetic Phenomena (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Astronomy and Astrophysics (282 citations), Global and Planetary Change (356 citations), Atmospheric Science (273 citations), Radiation (51 citations) and Environmental Engineering (58 citations). Chris J. Schultz has collaborated with scholars based in United States and Italy. Frequent co-authors include Douglas Michael Mach, Eugene W. McCaul, William J. Koshak, Steven J. Goodman, Larry Carey, Geoffrey T. Stano, Jeffrey C. Bailey, Monte G. Bateman, Richard Blakelsee and Dennis E. Buechler. Their work appears in journals such as Atmospheric Research, International Journal of Radiation Oncology*Biology*Physics, Advances in geosciences and Physics and Imaging in Radiation Oncology.
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.