Ryan F. Trainor

59 total papers · 984 total citations
17 papers, 569 citations indexed

About

Ryan F. Trainor is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Ryan F. Trainor has authored 17 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Ryan F. Trainor's work include Galaxies: Formation, Evolution, Phenomena (14 papers), Astrophysics and Star Formation Studies (7 papers) and Stellar, planetary, and galactic studies (6 papers). Ryan F. Trainor is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (14 papers), Astrophysics and Star Formation Studies (7 papers) and Stellar, planetary, and galactic studies (6 papers). Ryan F. Trainor collaborates with scholars based in United States, Germany and France. Ryan F. Trainor's co-authors include Charles C. Steidel, Gwen C. Rudie, Allison L. Strom, Ian S. McLean, Gregory N. Mace, Nicholas P. Konidaris, Kristin Kulas, Harland W. Epps, John Canfield and Jason Weiss and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.

In The Last Decade

Ryan F. Trainor

16 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Ryan F. Trainor 534 252 83 25 21 17 569
Thomas Connor 515 1.0× 174 0.7× 110 1.3× 17 0.7× 17 0.8× 32 531
C. Pappalardo 650 1.2× 234 0.9× 71 0.9× 19 0.8× 12 0.6× 34 672
Sanchayeeta Borthakur 606 1.1× 172 0.7× 142 1.7× 25 1.0× 21 1.0× 29 631
Deborah Lokhorst 484 0.9× 233 0.9× 82 1.0× 46 1.8× 16 0.8× 22 518
Hans-Walter Rix 621 1.2× 269 1.1× 56 0.7× 23 0.9× 12 0.6× 21 667
Intae Jung 473 0.9× 243 1.0× 65 0.8× 18 0.7× 23 1.1× 30 511
I. Oteo 674 1.3× 211 0.8× 139 1.7× 25 1.0× 45 2.1× 29 698
Peter G. Friedman 508 1.0× 244 1.0× 80 1.0× 26 1.0× 20 1.0× 22 585
S. Bocquet 476 0.9× 204 0.8× 123 1.5× 28 1.1× 8 0.4× 18 499
Attila Popping 668 1.3× 218 0.9× 159 1.9× 17 0.7× 14 0.7× 27 677

Countries citing papers authored by Ryan F. Trainor

Since Specialization
Citations

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

Fields of papers citing papers by Ryan F. Trainor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan F. Trainor. 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 Ryan F. Trainor. The network helps show where Ryan F. Trainor may publish in the future.

Co-authorship network of co-authors of Ryan F. Trainor

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan F. Trainor. A scholar is included among the top collaborators of Ryan F. Trainor 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 Ryan F. Trainor. Ryan F. Trainor 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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