C. J. Readings
- Atmospheric Science top 2%
- Environmental Engineering top 1%
- Global and Planetary Change top 5%
- Computational Mechanics top 2%
- Oceanography top 10%
- Co-authors
- S. J. CaugheyD. A. HaugenJ. C. KaimalJ. C. WyngaardYutaka IzumiOwen R. CotéS. NichollsJ.A. Garland
- Topics
- Meteorological Phenomena and Simulations (15 papers)Wind and Air Flow Studies (10 papers)Atmospheric aerosols and clouds (4 papers)
- Journals
- Journal of the Atmospheric SciencesSolar EnergyQuarterly Journal of the Royal Meteorological Society
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
C. J. Readings
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Atmospheric Science 930
- Environmental Engineering 677
- Global and Planetary Change 646
- Computational Mechanics 394
- Oceanography 145
Countries citing papers authored by C. J. Readings
This map shows the geographic impact of C. J. Readings'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. J. Readings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. J. Readings more than expected).
Fields of papers citing papers by C. J. Readings
This network shows the impact of papers produced by C. J. Readings. 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. J. Readings. The network helps show where C. J. Readings may publish in the future.
Co-authorship network of co-authors of C. J. Readings
This figure shows the co-authorship network connecting the top 25 collaborators of C. J. Readings. A scholar is included among the top collaborators of C. J. Readings based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. J. Readings. C. J. Readings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | The nine candidate Earth Explorer missions. 5. Magnetometry Mission. | 0 |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 41 | |
| 9 | 19 | |
| 10 | 126 | |
| 11 | Turbulence Structure in the Convective Boundary Layerbreakdown → | 730 |
| 12 | 9 | |
| 13 | 55 | |
| 14 | 42 | |
| 15 | 16 | |
| 16 | 49 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 12 |
About C. J. Readings
C. J. Readings is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (15 papers), Wind and Air Flow Studies (10 papers) and Atmospheric aerosols and clouds (4 papers). The work is most often cited by research in Atmospheric Science (930 citations), Environmental Engineering (677 citations) and Global and Planetary Change (646 citations). C. J. Readings has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include S. J. Caughey, D. A. Haugen, J. C. Kaimal, J. C. Wyngaard, Yutaka Izumi, Owen R. Coté, S. Nicholls, J.A. Garland, Richard G. Brown and W. T. Roach. Their work appears in journals such as Journal of the Atmospheric Sciences, Solar Energy and Quarterly Journal of the Royal 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.