J. P. Thayer

4.9k total citations
136 papers, 3.3k citations indexed

About

J. P. Thayer is a scholar working on Astronomy and Astrophysics, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, J. P. Thayer has authored 136 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Astronomy and Astrophysics, 39 papers in Global and Planetary Change and 38 papers in Atmospheric Science. Recurrent topics in J. P. Thayer's work include Ionosphere and magnetosphere dynamics (89 papers), Solar and Space Plasma Dynamics (63 papers) and Geomagnetism and Paleomagnetism Studies (37 papers). J. P. Thayer is often cited by papers focused on Ionosphere and magnetosphere dynamics (89 papers), Solar and Space Plasma Dynamics (63 papers) and Geomagnetism and Paleomagnetism Studies (37 papers). J. P. Thayer collaborates with scholars based in United States, United Kingdom and China. J. P. Thayer's co-authors include Jiuhou Lei, J. M. Forbes, E. K. Sutton, Wenbin Wang, T. L. Killeen, A. G. Burns, R. S. Nerem, Matthew Hayman, J. Semeter and A. J. Gerrard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

J. P. Thayer

133 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. P. Thayer United States	34	2.7k	1.1k	964	710	692	136	3.3k
Jia Yue United States	36	3.4k 1.3×	2.0k 1.9×	524 0.5×	740 1.0×	1.1k 1.6×	211	4.1k
Xianghui Xue China	27	1.7k 0.6×	899 0.8×	254 0.3×	517 0.7×	392 0.6×	152	2.2k
Xiankang Dou China	36	3.3k 1.2×	1.4k 1.3×	683 0.7×	924 1.3×	1.0k 1.5×	264	4.5k
C. A. Tepley United States	34	2.6k 1.0×	1.2k 1.1×	319 0.3×	328 0.5×	554 0.8×	107	2.9k
Jiyao Xu China	33	3.4k 1.3×	1.7k 1.6×	587 0.6×	503 0.7×	882 1.3×	263	3.8k
R. J. Sica Canada	21	1.1k 0.4×	945 0.9×	200 0.2×	683 1.0×	256 0.4×	70	1.8k
W. R. Skinner United States	30	2.6k 1.0×	2.2k 2.0×	266 0.3×	683 1.0×	183 0.3×	83	3.1k
G. J. Rottman United States	42	4.9k 1.8×	3.3k 3.0×	346 0.4×	1.0k 1.4×	136 0.2×	152	6.0k
D. L. Hampton United States	26	2.4k 0.9×	341 0.3×	303 0.3×	515 0.7×	627 0.9×	118	2.6k
Phillip C. Chamberlin United States	30	5.4k 2.0×	768 0.7×	673 0.7×	108 0.2×	377 0.5×	93	5.7k

Countries citing papers authored by J. P. Thayer

Since Specialization

Citations

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

Fields of papers citing papers by J. P. Thayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. P. Thayer

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

All Works

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20 of 20 papers shown

Lee, Zoe, et al.. (2025). Coordinating Development of the SWARM-EX CubeSat Swarm Across Multiple Institutions. Digital Commons - USU (Utah State University). 1 indexed citations

Hayman, Matthew, et al.. (2024). 2D signal estimation for sparse distributed target photon counting data. Scientific Reports. 14(1). 10325–10325. 3 indexed citations

Thayer, J. P., et al.. (2024). Distinguishing Density and Wind Perturbations in the Equatorial Thermosphere Anomaly. Journal of Geophysical Research Space Physics. 129(6). 2 indexed citations

Thayer, J. P., et al.. (2024). Error Assessment of Thermospheric Mass Density Retrieval With POD Products Using Different Strategies During Solar Minimum. Space Weather. 22(9). 1 indexed citations

Garcia‐Sage, Katherine, J. P. Thayer, E. K. Sutton, et al.. (2024). Assessing Thermospheric Neutral Density Models Using GEODYN's Precision Orbit Determination. Space Weather. 22(2). 1 indexed citations

Garcia‐Sage, Katherine, J. P. Thayer, E. K. Sutton, et al.. (2023). Data archive accompanying "Assessing Thermospheric Neutral Density Models using GEODYN's Precision Orbit Determination". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Berger, Thomas, Marie Dominique, Greg Lucas, et al.. (2023). The Thermosphere Is a Drag: The 2022 Starlink Incident and the Threat of Geomagnetic Storms to Low Earth Orbit Space Operations. Space Weather. 21(3). 26 indexed citations

Sutton, E. K., et al.. (2021). Toward Accurate Physics‐Based Specifications of Neutral Density Using GNSS‐Enabled Small Satellites. Space Weather. 19(6). 10 indexed citations

Thayer, J. P., et al.. (2019). Shallow-Water Bathymetry using ICESat-2 ATLAS and Related LIDAR Technologies. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

10.

Neely, Ryan R., et al.. (2018). Improved cloud-phase determination of low-level liquid and mixed-phase clouds by enhanced polarimetric lidar. Atmospheric measurement techniques. 11(2). 835–859. 14 indexed citations

11.

Thayer, J. P., et al.. (2018). The First UAV-Borne Scanning Topographic and Bathymetric Lidar System for Mapping Coastal Regions. AGU Fall Meeting Abstracts. 2018. 2 indexed citations

12.

Fowler, C. M., L. Andersson, J. P. Thayer, et al.. (2017). MAVEN Observations of Ionospheric Irregularities at Mars. Geophysical Research Letters. 44(21). 20 indexed citations

13.

Stallard, Tom, Henrik Melin, S. Miller, et al.. (2017). The Great Cold Spot in Jupiter's upper atmosphere. Geophysical Research Letters. 44(7). 3000–3008. 10 indexed citations

14.

Thayer, J. P., et al.. (2014). Formation of the equatorial thermosphere anomaly trough: Local time and solar cycle variations. Journal of Geophysical Research Space Physics. 119(12). 12 indexed citations

15.

Ridley, A. J., J. M. Forbes, A. C. Nicholas, et al.. (2010). The Armada mission: Determining the dynamic and spatial response of the thermosphere/ionosphere system to energy inputs on global and regional scales. AGU Fall Meeting Abstracts. 2010. 7 indexed citations

16.

Thayer, J. P.. (2010). The Global Implications and Grand Challenge of Neutral-Ion Interactions in the Polar Regions (Invited). AGUFM. 2010. 1 indexed citations

17.

Hayman, Matthew & J. P. Thayer. (2009). Explicit description of polarization coupling in lidar applications. Optics Letters. 34(5). 611–611. 17 indexed citations

18.

Thayer, J. P., et al.. (2003). Backscatter Lidar Depolarization Study of NLC at Sondrestrom, Greenland. AGU Fall Meeting Abstracts. 2003. 2 indexed citations

19.

Thayer, J. P.. (1990). Neutral wind vortices in the high-latitude thermosphere.. Deep Blue (University of Michigan). 4 indexed citations

20.

Thayer, J. P., et al.. (1987). Thermospheric neutral wind signatures dependent on the east-west component of the interplanetary magnetic field for Northern and Southern Hemispheres as measured from Dynamics Explorer-2. Annales Geophysicae. 5. 363–368. 58 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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