R. A. Gruendl

27.8k total citations
104 papers, 1.5k citations indexed

About

R. A. Gruendl is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, R. A. Gruendl has authored 104 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Astronomy and Astrophysics, 23 papers in Nuclear and High Energy Physics and 18 papers in Instrumentation. Recurrent topics in R. A. Gruendl's work include Stellar, planetary, and galactic studies (63 papers), Astrophysics and Star Formation Studies (57 papers) and Astrophysical Phenomena and Observations (43 papers). R. A. Gruendl is often cited by papers focused on Stellar, planetary, and galactic studies (63 papers), Astrophysics and Star Formation Studies (57 papers) and Astrophysical Phenomena and Observations (43 papers). R. A. Gruendl collaborates with scholars based in United States, Spain and Chile. R. A. Gruendl's co-authors include You‐Hua Chu, M. A. Guerrero, C.‐H. Rosie Chen, R. Williams, John R. Dickel, Sean Points, Leslie W. Looney, Jonathan Seale, K. Y. L. Su and J. A. Toalá and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Physics Letters B.

In The Last Decade

R. A. Gruendl

97 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. A. Gruendl United States 23 1.5k 284 190 90 33 104 1.5k
E. Corbelli Italy 24 1.7k 1.2× 181 0.6× 419 2.2× 97 1.1× 35 1.1× 59 1.8k
M. Krips France 27 2.0k 1.3× 270 1.0× 302 1.6× 123 1.4× 48 1.5× 70 2.0k
J. E. G. Peek United States 25 1.5k 1.0× 252 0.9× 241 1.3× 91 1.0× 48 1.5× 66 1.5k
M. Pereira-Santaella Spain 27 1.7k 1.2× 234 0.8× 385 2.0× 100 1.1× 51 1.5× 109 1.8k
Jin Koda United States 22 1.7k 1.2× 150 0.5× 529 2.8× 88 1.0× 49 1.5× 66 1.7k
Michael F. Skrutskie United States 8 973 0.7× 176 0.6× 383 2.0× 43 0.5× 19 0.6× 13 1.0k
D. Espada United States 22 1.4k 0.9× 229 0.8× 489 2.6× 97 1.1× 40 1.2× 64 1.4k
J. Afonso Portugal 22 1.4k 0.9× 434 1.5× 401 2.1× 42 0.5× 34 1.0× 84 1.4k
Jack Sayers United States 17 1.0k 0.7× 177 0.6× 183 1.0× 202 2.2× 55 1.7× 58 1.1k
L. Cambrésy France 16 1.5k 1.0× 153 0.5× 306 1.6× 163 1.8× 50 1.5× 32 1.5k

Countries citing papers authored by R. A. Gruendl

Since Specialization
Citations

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

Fields of papers citing papers by R. A. Gruendl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Gruendl. 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 R. A. Gruendl. The network helps show where R. A. Gruendl may publish in the future.

Co-authorship network of co-authors of R. A. Gruendl

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Gruendl. A scholar is included among the top collaborators of R. A. Gruendl 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 R. A. Gruendl. R. A. Gruendl 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.
Chu, You‐Hua, et al.. (2021). A Multiwavelength Survey of Wolf–Rayet Nebulae in the Large Magellanic Cloud. The Astrophysical Journal Supplement Series. 252(2). 21–21. 8 indexed citations
2.
Khan, Asad, E. A. Huerta, Sibo Wang, et al.. (2019). Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey. Physics Letters B. 795. 248–258. 29 indexed citations
3.
Khan, Asad, E. A. Huerta, Sibo Wang, & R. A. Gruendl. (2018). Unsupervised learning and data clustering for the construction of Galaxy Catalogs in the Dark Energy Survey.. arXiv (Cornell University). 1 indexed citations
4.
Litke, Katrina C., You‐Hua Chu, R. A. Gruendl, et al.. (2017). Nature of the Diffuse Source and Its Central Point-like Source in SNR 0509–67.5. The Astrophysical Journal. 837(2). 111–111. 10 indexed citations
5.
Li, Chuan-Jui, You‐Hua Chu, R. A. Gruendl, et al.. (2017). Physical Structures of the Type Ia Supernova Remnant N103B. The Astrophysical Journal. 836(1). 85–85. 14 indexed citations
6.
Fang, Xuan, M. A. Guerrero, J. A. Toalá, You‐Hua Chu, & R. A. Gruendl. (2016). HST STIS OBSERVATIONS OF THE MIXING LAYER IN THE CAT’S EYE NEBULA*. The Astrophysical Journal Letters. 822(1). L19–L19. 6 indexed citations
7.
Bozzetto, L. M., Patrick Kavanagh, P. Maggi, et al.. (2014). Multifrequency study of a new Fe-rich supernova remnant in the Large Magellanic Cloud, MCSNR J0508−6902. Monthly Notices of the Royal Astronomical Society. 439(1). 1110–1124. 7 indexed citations
8.
Toalá, J. A., M. A. Guerrero, You‐Hua Chu, & R. A. Gruendl. (2014). On the diffuse X-ray emission from the Wolf–Rayet bubble NGC 2359. Monthly Notices of the Royal Astronomical Society. 446(1). 1083–1089. 10 indexed citations
9.
Dickel, John R., R. A. Gruendl, V. J. McIntyre, & S. W. Amy. (2010). A 4.8 AND 8.6 GHz SURVEY OF THE SMALL MAGELLANIC CLOUD: THE IMAGES. The Astronomical Journal. 140(5). 1511–1518. 6 indexed citations
10.
Chu, You‐Hua, K. Y. L. Su, R. A. Gruendl, et al.. (2009). 24μm excesses of hot WDs – Evidence of dust disks?. Journal of Physics Conference Series. 172. 12055–12055. 1 indexed citations
11.
Hamaguchi, Kenji, M. F. Corcoran, Yuichiro Ezoe, et al.. (2009). A SMOKING GUN IN THE CARINA NEBULA. The Astrophysical Journal. 695(1). L4–L9. 13 indexed citations
12.
Chu, You‐Hua, et al.. (2009). AHUBBLE SPACE TELESCOPEVIEW OF THE INTERSTELLAR ENVIRONMENTS OF YOUNG STELLAR OBJECTS IN THE LARGE MAGELLANIC CLOUD. The Astrophysical Journal. 707(2). 1417–1426. 10 indexed citations
13.
Ezoe, Yuichiro, Kenji Hamaguchi, R. A. Gruendl, et al.. (2009). Suzaku and XMM-Newton Observations of Diffuse X-Ray Emission from the Eastern Tip Region of the Carina Nebula. Publications of the Astronomical Society of Japan. 61(sp1). S123–S136. 11 indexed citations
14.
Williams, R., You‐Hua Chu, John R. Dickel, et al.. (2005). Supernova Remnants in the Magellanic Clouds. V. The Complex Interior Structure of the N206 Supernova Remnant. The Astrophysical Journal. 628(2). 704–720. 20 indexed citations
15.
Gruendl, R. A., You‐Hua Chu, & M. A. Guerrero. (2004). Far Ultraviolet Spectroscopic Explorer Observations of Nebular O vi Emission from NGC 6543. The Astrophysical Journal. 617(2). L127–L130. 10 indexed citations
16.
Guerrero, M. A., et al.. (2003). De-Centered Central Stars of Planetary Nebulae. Symposium - International Astronomical Union. 209. 541–542. 1 indexed citations
17.
Chu, You‐Hua, Sungeun Kim, R. C. Smith, et al.. (1999). The Supergiant Shell LMC 2. I. The Kinematics and Physical Structure. The Astrophysical Journal. 518(1). 298–323. 23 indexed citations
18.
19.
Vogel, S. N., Richard J. Rand, R. A. Gruendl, & Peter Teuben. (1993). H-alpha Fabry-Perot observations of the density-wave pattern in M51. Publications of the Astronomical Society of the Pacific. 105. 666–666. 21 indexed citations
20.
Vogel, S. N., et al.. (1991). The Maryland-Caltech Imaging Fabry-Perot. Bulletin of the American Astronomical Society. 23. 874. 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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