T. H. Prettyman

559 total papers · 11.5k total citations
226 papers, 5.9k citations indexed

About

T. H. Prettyman is a scholar working on Astronomy and Astrophysics, Radiation and Aerospace Engineering. According to data from OpenAlex, T. H. Prettyman has authored 226 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Astronomy and Astrophysics, 66 papers in Radiation and 38 papers in Aerospace Engineering. Recurrent topics in T. H. Prettyman's work include Astro and Planetary Science (140 papers), Planetary Science and Exploration (138 papers) and Nuclear Physics and Applications (53 papers). T. H. Prettyman is often cited by papers focused on Astro and Planetary Science (140 papers), Planetary Science and Exploration (138 papers) and Nuclear Physics and Applications (53 papers). T. H. Prettyman collaborates with scholars based in United States, France and Germany. T. H. Prettyman's co-authors include W. C. Feldman, D. J. Lawrence, S. Maurice, R. C. Elphic, G.W. McKinney, M. T. Mellon, A. B. Binder, O. Gasnault, J. J. Hagerty and R. L. Tokar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

T. H. Prettyman

216 papers receiving 5.7k citations

Hit Papers

Global Distribution of Ne... 2002 2026 2010 2018 2002 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. H. Prettyman 5.2k 889 861 835 785 226 5.9k
D. J. Lawrence 7.7k 1.5× 1.5k 1.7× 982 1.1× 918 1.1× 1.1k 1.4× 314 9.2k
S. Maurice 6.3k 1.2× 1.0k 1.1× 655 0.8× 685 0.8× 948 1.2× 318 7.7k
P. D. Feldman 7.3k 1.4× 2.4k 2.7× 249 0.3× 613 0.7× 544 0.7× 384 8.6k
R. C. Elphic 12.6k 2.4× 1.0k 1.2× 434 0.5× 468 0.6× 1.4k 1.8× 274 13.2k
A. O. Nier 2.8k 0.5× 1.2k 1.4× 308 0.4× 505 0.6× 427 0.5× 122 4.2k
G. R. Gladstone 6.5k 1.2× 1.3k 1.4× 240 0.3× 300 0.4× 508 0.6× 353 7.0k
R. Starr 3.0k 0.6× 711 0.8× 565 0.7× 301 0.4× 288 0.4× 175 3.7k
R. Gellert 5.3k 1.0× 1.3k 1.5× 253 0.3× 502 0.6× 725 0.9× 210 6.1k
H. Wänke 5.4k 1.0× 1.1k 1.2× 473 0.5× 1.1k 1.3× 537 0.7× 220 7.0k
L. P. Keller 6.0k 1.2× 822 0.9× 116 0.1× 1.0k 1.2× 375 0.5× 362 7.0k

Countries citing papers authored by T. H. Prettyman

Since Specialization
Citations

This map shows the geographic impact of T. H. Prettyman'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 T. H. Prettyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. H. Prettyman more than expected).

Fields of papers citing papers by T. H. Prettyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. H. Prettyman. 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 T. H. Prettyman. The network helps show where T. H. Prettyman may publish in the future.

Co-authorship network of co-authors of T. H. Prettyman

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

All Works

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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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