S. Juneau

13.8k total citations
46 papers, 2.3k citations indexed

About

S. Juneau is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, S. Juneau has authored 46 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 23 papers in Instrumentation and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in S. Juneau's work include Galaxies: Formation, Evolution, Phenomena (40 papers), Astronomy and Astrophysical Research (23 papers) and Astrophysics and Star Formation Studies (17 papers). S. Juneau is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (40 papers), Astronomy and Astrophysical Research (23 papers) and Astrophysics and Star Formation Studies (17 papers). S. Juneau collaborates with scholars based in United States, France and United Kingdom. S. Juneau's co-authors include Karl Glazebrook, Inger Jørgensen, D. Crampton, Patrick J. McCarthy, Roberto Abraham, S. Savaglio, Ronald O. Marzke, Hsiao‐Wen Chen, D. Le Borgne and Richard Murowinski 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

S. Juneau

46 papers receiving 2.2k citations

Peers

S. Juneau
Ho Seong Hwang South Korea
M. Pannella Germany
David B. Fisher United States
E. Ricciardelli Spain
M. S. Owers Australia
P. Barmby United States
Gergö Popping Germany
G. Magdis Denmark
S. Savaglio Germany
Meghan E. Gray United Kingdom
Ho Seong Hwang South Korea
S. Juneau
Citations per year, relative to S. Juneau S. Juneau (= 1×) peers Ho Seong Hwang

Countries citing papers authored by S. Juneau

Since Specialization
Citations

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

Fields of papers citing papers by S. Juneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Juneau. 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 S. Juneau. The network helps show where S. Juneau may publish in the future.

Co-authorship network of co-authors of S. Juneau

This figure shows the co-authorship network connecting the top 25 collaborators of S. Juneau. A scholar is included among the top collaborators of S. Juneau 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 S. Juneau. S. Juneau 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.
Böhm, Vanessa, Alex Kim, & S. Juneau. (2023). Fast and efficient identification of anomalous galaxy spectra with neural density estimation. Monthly Notices of the Royal Astronomical Society. 526(2). 3072–3087. 2 indexed citations
2.
Yang, Lei, Xinwen Shu, Daizhong Liu, et al.. (2022). Compact and Variable Radio Emission from an Active Galaxy with Supersoft X-Ray Emission. The Astrophysical Journal. 935(2). 115–115. 3 indexed citations
3.
Juneau, S., Knut Olsen, Robert Nikutta, Alice Jacques, & S. Bailey. (2021). Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms. eScholarship (California Digital Library). 2 indexed citations
4.
5.
López-Rodríguez, Enrique, Robert Nikutta, N. A. Levenson, et al.. (2019). Tracing the feeding and feedback of active galaxies. Bulletin of the American Astronomical Society. 51(3). 138. 2 indexed citations
6.
Olsen, Knut, et al.. (2019). The NOAO Data Lab: Design, Capabilities, and Community Development. 523. 233. 2 indexed citations
7.
Elmegreen, D. M., Bruce G. Elmegreen, Michele Kaufman, et al.. (2017). ALMA CO Clouds and Young Star Complexes in the Interacting Galaxies IC 2163 and NGC 2207. The Astrophysical Journal. 841(1). 43–43. 10 indexed citations
8.
Wang, Tao, D. Elbaz, D. M. Alexander, et al.. (2017). AGN-host connection at 0.5 < z < 2.5: A rapid evolution of AGN fraction in red galaxies during the last 10 Gyr. Astronomy and Astrophysics. 601. A63–A63. 30 indexed citations
9.
Thomas, A. D., M. A. Dopita, P. Shastri, et al.. (2017). Probing the Physics of Narrow-line Regions in Active Galaxies. IV. Full Data Release of the Siding Spring Southern Seyfert Spectroscopic Snapshot Survey (S7). The Astrophysical Journal Supplement Series. 232(1). 11–11. 36 indexed citations
10.
Elmegreen, Bruce G., Michele Kaufman, F. Bournaud, et al.. (2016). HIGH STAR FORMATION RATES IN TURBULENT ATOMIC-DOMINATED GAS IN THE INTERACTING GALAXIES IC 2163 AND NGC 2207. The Astrophysical Journal. 823(1). 26–26. 11 indexed citations
11.
Kaufman, Michele, Bruce G. Elmegreen, Curtis Struck, et al.. (2016). OCULAR SHOCK FRONT IN THE COLLIDING GALAXY IC 2163. The Astrophysical Journal. 831(2). 161–161. 2 indexed citations
12.
Cowley, Michael J., Lee R. Spitler, Kim‐Vy Tran, et al.. (2016). ZFOURGE catalogue of AGN candidates: an enhancement of 160-μm-derived star formation rates in active galaxies toz = 3.2. Monthly Notices of the Royal Astronomical Society. 457(1). 629–641. 41 indexed citations
13.
Dopita, M. A., I-Ting Ho, Linda Dressel, et al.. (2015). PROBING THE PHYSICS OF NARROW-LINE REGIONS IN ACTIVE GALAXIES. III. ACCRETION AND COCOON SHOCKS IN THE LINER NGC 1052. The Astrophysical Journal. 801(1). 42–42. 28 indexed citations
14.
Mullaney, James, D. M. Alexander, James Aird, et al.. (2015). ALMA and Herschel reveal that X-ray-selected AGN and main-sequence galaxies have different star formation rate distributions. Monthly Notices of the Royal Astronomical Society Letters. 453(1). L83–L87. 88 indexed citations
15.
Sargent, M., E. Daddi, M. Béthermin, et al.. (2014). REGULARITY UNDERLYING COMPLEXITY: A REDSHIFT-INDEPENDENT DESCRIPTION OF THE CONTINUOUS VARIATION OF GALAXY-SCALE MOLECULAR GAS PROPERTIES IN THE MASS-STAR FORMATION RATE PLANE. The Astrophysical Journal. 793(1). 19–19. 177 indexed citations
16.
Trump, Jonathan R., Nicholas P. Konidaris, Guillermo Barro, et al.. (2012). TESTING DIAGNOSTICS OF NUCLEAR ACTIVITY AND STAR FORMATION IN GALAXIES AT z > 1. The Astrophysical Journal Letters. 763(1). L6–L6. 18 indexed citations
17.
Bournaud, F., S. Juneau, E. Le Floc’h, et al.. (2012). AN OBSERVED LINK BETWEEN ACTIVE GALACTIC NUCLEI AND VIOLENT DISK INSTABILITIES IN HIGH-REDSHIFT GALAXIES. The Astrophysical Journal. 757(1). 81–81. 47 indexed citations
18.
Rujopakarn, W., G. H. Rieke, Daniel J. Eisenstein, & S. Juneau. (2010). MORPHOLOGY AND SIZE DIFFERENCES BETWEEN LOCAL AND HIGH-REDSHIFT LUMINOUS INFRARED GALAXIES. The Astrophysical Journal. 726(2). 93–93. 58 indexed citations
19.
McCarthy, Patrick J., Haojing Yan, Roberto Abraham, et al.. (2007). A Compact Cluster of Massive Red Galaxies at a Redshift of 1.5. The Astrophysical Journal. 664(1). L17–L21. 11 indexed citations
20.
McCarthy, Patrick J., D. Le Borgne, D. Crampton, et al.. (2004). Evolved Galaxies at z  > 1.5 from the Gemini Deep Deep Survey: The Formation Epoch of Massive Stellar Systems. The Astrophysical Journal. 614(1). L9–L12. 101 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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