Daryll M. LaCourse

84 total papers · 2.1k total citations
33 papers, 445 citations indexed

About

Daryll M. LaCourse is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Daryll M. LaCourse has authored 33 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Astronomy and Astrophysics, 15 papers in Instrumentation and 5 papers in Computational Mechanics. Recurrent topics in Daryll M. LaCourse's work include Stellar, planetary, and galactic studies (29 papers), Astronomy and Astrophysical Research (15 papers) and Astrophysics and Star Formation Studies (13 papers). Daryll M. LaCourse is often cited by papers focused on Stellar, planetary, and galactic studies (29 papers), Astronomy and Astrophysical Research (15 papers) and Astrophysics and Star Formation Studies (13 papers). Daryll M. LaCourse collaborates with scholars based in United States, United Kingdom and Hungary. Daryll M. LaCourse's co-authors include Thomas L. Jacobs, S. Rappaport, Andrew Vanderburg, Andrew W. Mann, Megan Ansdell, Eric Gaidos, Grant M. Kennedy, Jonathan P. Williams, Allan R. Schmitt and Tabetha S. Boyajian and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

Daryll M. LaCourse

27 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Daryll M. LaCourse 433 119 34 20 19 33 445
Allan R. Schmitt 463 1.1× 123 1.0× 32 0.9× 5 0.3× 6 0.3× 18 482
Hans Martin Schwengeler 362 0.8× 117 1.0× 19 0.6× 8 0.4× 11 0.6× 20 379
L. Kohoutek 376 0.9× 164 1.4× 40 1.2× 19 1.0× 47 394
S. Drew Chojnowski 434 1.0× 119 1.0× 18 0.5× 2 0.1× 43 2.3× 30 445
W. Seggewiß 361 0.8× 97 0.8× 53 1.6× 10 0.5× 42 369
J. S. Drilling 467 1.1× 213 1.8× 46 1.4× 12 0.6× 52 482
Susan E. Mullally 372 0.9× 172 1.4× 34 1.0× 1 0.1× 12 0.6× 32 402
M. J. Stift 462 1.1× 111 0.9× 21 0.6× 7 0.4× 43 475
R.‐D. Scholz 419 1.0× 193 1.6× 47 1.4× 8 0.4× 25 439
S. Grenier 470 1.1× 201 1.7× 52 1.5× 8 0.4× 19 476

Countries citing papers authored by Daryll M. LaCourse

Since Specialization
Citations

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

Fields of papers citing papers by Daryll M. LaCourse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daryll M. LaCourse. 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 Daryll M. LaCourse. The network helps show where Daryll M. LaCourse may publish in the future.

Co-authorship network of co-authors of Daryll M. LaCourse

This figure shows the co-authorship network connecting the top 25 collaborators of Daryll M. LaCourse. A scholar is included among the top collaborators of Daryll M. LaCourse 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 Daryll M. LaCourse. Daryll M. LaCourse 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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