Ryan Hausen

3.8k total citations
12 papers, 102 citations indexed

About

Ryan Hausen is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryan Hausen has authored 12 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryan Hausen's work include Galaxies: Formation, Evolution, Phenomena (5 papers), Stellar, planetary, and galactic studies (4 papers) and Astronomy and Astrophysical Research (4 papers). Ryan Hausen is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (5 papers), Stellar, planetary, and galactic studies (4 papers) and Astronomy and Astrophysical Research (4 papers). Ryan Hausen collaborates with scholars based in United States, United Kingdom and Spain. Ryan Hausen's co-authors include Brant Robertson, Risa H. Wechsler, Henry C. Ferguson, Daniel P. Stark, Christopher N. A. Willmer, Piero Madau, Nicole E. Drakos, Jenny E. Greene, Mark Dickinson and Daniel J. Eisenstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Ryan Hausen

12 papers receiving 83 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Hausen United States 6 74 53 10 8 8 12 102
Marc Huertas-Company France 4 81 1.1× 50 0.9× 16 1.6× 6 0.8× 6 0.8× 8 95
Luca Tortorelli Germany 7 100 1.4× 66 1.2× 10 1.0× 15 1.9× 5 0.6× 18 120
Kelly Blumenthal United States 3 140 1.9× 66 1.2× 12 1.2× 10 1.3× 4 0.5× 3 154
Claudio Bruderer Switzerland 3 91 1.2× 47 0.9× 15 1.5× 6 0.8× 4 0.5× 4 103
P. Tallada-Crespí Spain 6 71 1.0× 32 0.6× 7 0.7× 5 0.6× 6 0.8× 14 86
Yasna Órdenes-Briceño Chile 6 134 1.8× 81 1.5× 5 0.5× 8 1.0× 4 0.5× 14 139
Michitaro Koike Japan 5 94 1.3× 45 0.8× 10 1.0× 12 1.5× 4 0.5× 9 102
Huanqing Chen United States 6 98 1.3× 39 0.7× 7 0.7× 6 0.8× 6 0.8× 13 119
Sidney Lower United States 7 159 2.1× 91 1.7× 5 0.5× 7 0.9× 5 0.6× 10 171
Connor Stone Canada 7 93 1.3× 48 0.9× 7 0.7× 11 1.4× 2 0.3× 14 104

Countries citing papers authored by Ryan Hausen

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Hausen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Hausen

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

All Works

12 of 12 papers shown
1.
Woodrum, Charity, Marcia Rieke, Zhiyuan Ji, et al.. (2024). Using JADES NIRCam photometry to investigate the dependence of stellar mass inferences on the IMF in the early universe. Proceedings of the National Academy of Sciences. 121(42). e2317375121–e2317375121. 3 indexed citations
2.
Hausen, Ryan & Hosein Azarbonyad. (2024). Discovering Data Sets Through Machine Learning: An Ensemble Approach to Uncovering the Prevalence of Government-Funded Data Sets. SHILAP Revista de lepidopterología. 2 indexed citations
3.
Hainline, Kevin, Jakob M. Helton, Benjamin D. Johnson, et al.. (2024). Brown Dwarf Candidates in the JADES and CEERS Extragalactic Surveys. The Astrophysical Journal. 964(1). 66–66. 12 indexed citations
4.
Dressler, Alan, Marcia Rieke, Daniel J. Eisenstein, et al.. (2024). Building the First Galaxies—Chapter 2. Starbursts Dominate the Star Formation Histories of 6 < z < 12 Galaxies. The Astrophysical Journal. 964(2). 150–150. 14 indexed citations
5.
Hausen, Ryan, Brant Robertson, Nickolay Y. Gnedin, et al.. (2023). Revealing the Galaxy–Halo Connection through Machine Learning. The Astrophysical Journal. 945(2). 122–122. 4 indexed citations
6.
Sánchez, H. Domínguez, Garreth Martin, Ivana Damjanov, et al.. (2023). Identification of tidal features in deep optical galaxy images with convolutional neural networks. Monthly Notices of the Royal Astronomical Society. 521(3). 3861–3872. 18 indexed citations
7.
Hausen, Ryan & Brant Robertson. (2022). FitsMap: A simple, lightweight tool for displaying interactive astronomical image and catalog data. Astronomy and Computing. 39. 100586–100586. 4 indexed citations
8.
Drakos, Nicole E., Brant Robertson, Ryan Hausen, et al.. (2022). Deep Realistic Extragalactic Model (DREaM) Galaxy Catalogs: Predictions for a Roman Ultra-deep Field. The Astrophysical Journal. 926(2). 194–194. 20 indexed citations
9.
Robertson, Brant, M. Banerji, Sarah Brough, et al.. (2019). Galaxy formation and evolution science in the era of the Large Synoptic Survey Telescope. Nature Reviews Physics. 1(7). 450–462. 16 indexed citations
10.
Hausen, Ryan, et al.. (2019). Morpheus: Library to generate morphological semantic segmentation maps of astronomical images. ascl. 1 indexed citations
11.
12.
Hausen, Ryan, et al.. (2014). Maximizing Data Preservation Time in Linear Sensor Networks. 513–514. 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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