W. Kent Tobiska

7.4k total citations
151 papers, 5.1k citations indexed

About

W. Kent Tobiska is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, W. Kent Tobiska has authored 151 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Astronomy and Astrophysics, 45 papers in Atmospheric Science and 29 papers in Aerospace Engineering. Recurrent topics in W. Kent Tobiska's work include Solar and Space Plasma Dynamics (109 papers), Ionosphere and magnetosphere dynamics (84 papers) and Atmospheric Ozone and Climate (44 papers). W. Kent Tobiska is often cited by papers focused on Solar and Space Plasma Dynamics (109 papers), Ionosphere and magnetosphere dynamics (84 papers) and Atmospheric Ozone and Climate (44 papers). W. Kent Tobiska collaborates with scholars based in United States, Germany and United Kingdom. W. Kent Tobiska's co-authors include T. N. Woods, G. J. Rottman, F. G. Eparvier, Bruce R. Bowman, J. M. Pap, R. A. Viereck, C. A. Barth, S. M. Bailey, F. A. Marcos and S. C. Solomon and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

W. Kent Tobiska

142 papers receiving 4.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W. Kent Tobiska United States 32 4.7k 1.5k 782 643 594 151 5.1k
Phillip C. Chamberlin United States 30 5.4k 1.1× 768 0.5× 673 0.9× 348 0.5× 164 0.3× 93 5.7k
F. G. Eparvier United States 39 4.8k 1.0× 1.2k 0.8× 335 0.4× 565 0.9× 163 0.3× 136 5.1k
R. A. Viereck United States 24 2.3k 0.5× 828 0.6× 400 0.5× 357 0.6× 188 0.3× 70 2.5k
D. P. Drob United States 37 5.1k 1.1× 2.1k 1.4× 839 1.1× 1.2k 1.8× 1.0k 1.7× 117 6.8k
G. J. Rottman United States 42 4.9k 1.0× 3.3k 2.2× 346 0.4× 773 1.2× 282 0.5× 152 6.0k
R. A. Mewaldt United States 53 8.3k 1.8× 722 0.5× 927 1.2× 208 0.3× 104 0.2× 310 9.2k
G. E. Brueckner United States 36 6.2k 1.3× 833 0.6× 1.1k 1.4× 271 0.4× 255 0.4× 110 6.7k
J. T. Emmert United States 37 3.8k 0.8× 1.4k 1.0× 949 1.2× 717 1.1× 781 1.3× 88 4.1k
W. D. Pesnell United States 24 3.8k 0.8× 480 0.3× 662 0.8× 120 0.2× 224 0.4× 93 4.0k
J. C. Kasper United States 46 7.7k 1.6× 360 0.2× 2.0k 2.5× 323 0.5× 212 0.4× 212 8.1k

Countries citing papers authored by W. Kent Tobiska

Since Specialization
Citations

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

Fields of papers citing papers by W. Kent Tobiska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Kent Tobiska. 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 W. Kent Tobiska. The network helps show where W. Kent Tobiska may publish in the future.

Co-authorship network of co-authors of W. Kent Tobiska

This figure shows the co-authorship network connecting the top 25 collaborators of W. Kent Tobiska. A scholar is included among the top collaborators of W. Kent Tobiska 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 W. Kent Tobiska. W. Kent Tobiska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aryan, Homayon, et al.. (2025). Cross Correlation Between Plasmaspheric Hiss Waves and Enhanced Radiation Levels at Aviation Altitudes. Space Weather. 23(2). 2 indexed citations
2.
Pryor, W. R., W. Kent Tobiska, K. D. Retherford, et al.. (2024). SOHO SWAN Lyα Models Supporting LRO LAMP: 2008–2023. The Planetary Science Journal. 5(9). 210–210. 1 indexed citations
3.
Pryor, W. R., G. R. Gladstone, Kurt D. Retherford, et al.. (2024). Modeling Cassini UVIS Interplanetary Hydrogen Lyα Observations from 1999 to 2017. The Astrophysical Journal. 960(2). 117–117. 3 indexed citations
4.
Weimer, D. R., et al.. (2021). Comparison of a Neutral Density Model With the SET HASDM Density Database. Space Weather. 19(12). 4 indexed citations
5.
Mehta, Piyush M., et al.. (2021). Qualitative and Quantitative Assessment of the SET HASDM Database. Space Weather. 19(8). 14 indexed citations
6.
Mehta, Piyush M., et al.. (2021). Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model. Space Weather. 19(12). 7 indexed citations
7.
Xu, Wei, Robert A. Marshall, & W. Kent Tobiska. (2021). A Method for Calculating Atmospheric Radiation Produced by Relativistic Electron Precipitation. Space Weather. 19(12). 8 indexed citations
8.
Bowman, Bruce R. & W. Kent Tobiska. (2020). JB2008: Empirical Thermospheric Density Model. Astrophysics Source Code Library. 1 indexed citations
9.
Mehta, Piyush M., et al.. (2020). Data-Driven HASDM Density Model using Machine Learning. 1 indexed citations
10.
Zheng, Yihua, Natalia Ganushkina, Piers Jiggens, et al.. (2019). Space Radiation and Plasma Effects on Satellites and Aviation: Quantities and Metrics for Tracking Performance of Space Weather Environment Models. Space Weather. 17(10). 1384–1403. 49 indexed citations
11.
Riley, Pete, M. L. Mays, Jesse Andries, et al.. (2018). Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard. Space Weather. 16(9). 1245–1260. 99 indexed citations
12.
Pardini, Carmen, W. Kent Tobiska, & Luciano Anselmo. (2004). Analysis of the orbital decay of spherical satellites using different solar flux proxies and atmospheric density models. 35. 191. 5 indexed citations
13.
Woods, T. N., F. G. Eparvier, G. J. Rottman, et al.. (2002). Overview of the SDO Extreme ultraviolet Variability Experiment (EVE). AGUFM. 2002. 2 indexed citations
14.
Woods, T. N., F. G. Eparvier, Donald L. Woodraska, et al.. (2002). Early Results from the TIMED Solar EUV Experiment (SEE). AGU Spring Meeting Abstracts. 2002. 1 indexed citations
15.
Clarke, J. T., J. M. Ajello, G. E. Ballester, et al.. (1999). HST/STIS images of UV auroral footprints from Io, Europa, and Ganymede.. Open Repository and Bibliography (University of Liège). 31(4). 1185. 5 indexed citations
16.
Hendrix, A. R., C. Barth, C. W. Hord, et al.. (1998). Disk-resolved Observations of the Ultraviolet Absorber on Callisto's Leading Hemisphere. LPI. 1865. 1 indexed citations
17.
Clarke, J. T., J. M. Ajello, G. E. Ballester, et al.. (1998). HST-STIS Observations of Jupiter's Aurora. Open Repository and Bibliography (University of Liège). 2 indexed citations
18.
West, R. A., W. R. Pryor, W. Kent Tobiska, C. W. Hord, & K. E. Simmons. (1997). Galileo Ultraviolet Spectrometer: Information on Jupiter's UV-absorbing Haze. DPS. 1 indexed citations
19.
Pryor, W. R., C. W. Hord, C. A. Barth, et al.. (1996). Initial Jupiter Atmosphere Results from the Galileo Ultraviolet Spectrometer Experiment. 3 indexed citations
20.
Pap, J. M., et al.. (1994). The Sun as a Variable Star: Solar and Stellar Irradiance Variations; Colloquium of the International Astronomical Union, 143rd, Boulder, CO, Jun. 20-25, 1993. Solar Physics. 152(1). 1 indexed citations

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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