Kyle Willett

3.8k total citations · 3 hit papers
24 papers, 2.1k citations indexed

About

Kyle Willett is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, Kyle Willett has authored 24 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 9 papers in Instrumentation and 7 papers in Ecology. Recurrent topics in Kyle Willett's work include Galaxies: Formation, Evolution, Phenomena (18 papers), Astronomy and Astrophysical Research (9 papers) and Astrophysics and Star Formation Studies (7 papers). Kyle Willett is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (18 papers), Astronomy and Astrophysical Research (9 papers) and Astrophysics and Star Formation Studies (7 papers). Kyle Willett collaborates with scholars based in United States, United Kingdom and Switzerland. Kyle Willett's co-authors include Joni Dambre, Sander Dieleman, Chris Lintott, Karen L. Masters, Brooke Simmons, Kevin Schawinski, R. C. Nichol, L. Fortson, Ramin Skibba and Sugata Kaviraj 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

Kyle Willett

24 papers receiving 2.0k citations

Hit Papers

Rotation-invariant convolutional neural networks for gala... 2013 2026 2017 2021 2015 2014 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rotation-invariant convolutional neural networks for galaxy morphology prediction
    2015 485 citations Sander Dieleman, Kyle Willett et al. Monthly Notices of the Royal Astronomical Society profile →
  2. The green valley is a red herring: Galaxy Zoo reveals two evolutionary pathways towards quenching of star formation in early- and late-type galaxies★
    2014 433 citations Kevin Schawinski, C. M. Urry et al. Monthly Notices of the Royal Astronomical Society profile →
  3. Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey
    2013 421 citations Kyle Willett, Chris Lintott et al. Monthly Notices of the Royal Astronomical Society profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Willett United States 17 1.6k 840 403 222 160 24 2.1k
Edward M. Edmondson United Kingdom 10 1.4k 0.9× 860 1.0× 229 0.6× 224 1.0× 94 0.6× 10 1.6k
Ramin Skibba United States 27 2.8k 1.7× 1.7k 2.1× 284 0.7× 521 2.3× 253 1.6× 45 3.0k
A. Mahabal United States 29 2.5k 1.6× 615 0.7× 195 0.5× 67 0.3× 554 3.5× 160 3.1k
M. J. Graham United States 29 2.8k 1.7× 594 0.7× 184 0.5× 60 0.3× 539 3.4× 167 3.4k
Vicent J. Martı́nez Spain 24 1.2k 0.7× 400 0.5× 104 0.3× 150 0.7× 186 1.2× 73 1.6k
G. Fasano Italy 34 3.1k 1.9× 1.8k 2.2× 160 0.4× 280 1.3× 340 2.1× 98 3.6k
E. Saar Estonia 34 2.9k 1.8× 1.4k 1.7× 187 0.5× 390 1.8× 571 3.6× 96 3.2k
Hugh Couchman Canada 8 3.1k 1.9× 1.5k 1.8× 147 0.4× 157 0.7× 593 3.7× 10 3.3k
Sugata Kaviraj United Kingdom 37 4.2k 2.6× 2.5k 2.9× 381 0.9× 277 1.2× 406 2.5× 105 4.5k
Rien van de Weygaert Netherlands 31 2.7k 1.7× 1.1k 1.3× 235 0.6× 203 0.9× 545 3.4× 74 3.1k

Countries citing papers authored by Kyle Willett

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Willett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Willett

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Willett. A scholar is included among the top collaborators of Kyle Willett 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 Kyle Willett. Kyle Willett 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.
Walmsley, Mike, Chris Lintott, Tobias Géron, et al.. (2021). Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. Monthly Notices of the Royal Astronomical Society. 509(3). 3966–3988. 111 indexed citations
2.
Beck, Mélanie, Claudia Scarlata, L. Fortson, et al.. (2018). Integrating human and machine intelligence in galaxy morphology classification tasks. Monthly Notices of the Royal Astronomical Society. 476(4). 5516–5534. 35 indexed citations
3.
Kapińska, A. D., Ivan A. Terentev, O. Ivy Wong, et al.. (2017). Radio Galaxy Zoo: A Search for Hybrid Morphology Radio Galaxies. The Astronomical Journal. 154(6). 253–253. 36 indexed citations
4.
Smethurst, Rebecca, Chris Lintott, Brooke Simmons, et al.. (2016). Galaxy Zoo: evidence for rapid, recent quenching within a population of AGN host galaxies. Monthly Notices of the Royal Astronomical Society. 463(3). 2986–2996. 23 indexed citations
5.
Hart, Ross E., S. P. Bamford, Kyle Willett, et al.. (2016). Galaxy Zoo: comparing the demographics of spiral arm number and a new method for correcting redshift bias. Monthly Notices of the Royal Astronomical Society. 461(4). 3663–3682. 82 indexed citations
6.
Dieleman, Sander, Kyle Willett, & Joni Dambre. (2015). Rotation-invariant convolutional neural networks for galaxy morphology prediction. Monthly Notices of the Royal Astronomical Society. 450(2). 1441–1459. 485 indexed citations breakdown →
7.
Willett, Kyle, Kevin Schawinski, Brooke Simmons, et al.. (2015). Galaxy Zoo: the dependence of the star formation–stellar mass relation on spiral disc morphology. Monthly Notices of the Royal Astronomical Society. 449(1). 820–827. 51 indexed citations
8.
Willett, Kyle, L. Fortson, Carolin N. Cardamone, et al.. (2015). Galaxy Zoo: the effect of bar-driven fuelling on the presence of an active galactic nucleus in disc galaxies. Monthly Notices of the Royal Astronomical Society. 448(4). 3442–3454. 50 indexed citations
9.
Schawinski, Kevin, C. M. Urry, Brooke Simmons, et al.. (2014). The green valley is a red herring: Galaxy Zoo reveals two evolutionary pathways towards quenching of star formation in early- and late-type galaxies★. Monthly Notices of the Royal Astronomical Society. 440(1). 889–907. 433 indexed citations breakdown →
10.
Melvin, Thomas, Karen L. Masters, Chris Lintott, et al.. (2014). Galaxy Zoo: an independent look at the evolution of the bar fraction over the last eight billion years from HST-COSMOS★. Monthly Notices of the Royal Astronomical Society. 438(4). 2882–2897. 88 indexed citations
11.
Simmons, Brooke, Chris Lintott, Kevin Schawinski, et al.. (2013). Galaxy Zoo: bulgeless galaxies with growing black holes. Monthly Notices of the Royal Astronomical Society. 429(3). 2199–2211. 48 indexed citations
12.
Ginsburg, Adam, Thomas Robitaille, Christoph Deil, et al.. (2013). Astroquery v0.1. Figshare. 8 indexed citations
13.
Willett, Kyle, Chris Lintott, S. P. Bamford, et al.. (2013). Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society. 435(4). 2835–2860. 421 indexed citations breakdown →
14.
Willett, Kyle. (2012). Searching for new OH megamasers out to redshifts z>1. Proceedings of the International Astronomical Union. 8(S287). 345–349. 3 indexed citations
15.
Willett, Kyle, et al.. (2011). MID-INFRARED PROPERTIES OF OH MEGAMASER HOST GALAXIES. I. SPITZER IRS LOW- AND HIGH-RESOLUTION SPECTROSCOPY. The Astrophysical Journal Supplement Series. 193(1). 18–18. 14 indexed citations
16.
Willett, Kyle, Jeremy Darling, H. W. W. Spoon, V. Charmandaris, & L. Armus. (2011). MID-INFRARED PROPERTIES OF OH MEGAMASER HOST GALAXIES. II. ANALYSIS AND MODELING OF THE MASER ENVIRONMENT. The Astrophysical Journal. 730(1). 56–56. 14 indexed citations
17.
Willett, Kyle, John T. Stocke, Jeremy Darling, & Eric S. Perlman. (2010). SPITZERMID-INFRARED SPECTROSCOPY OF COMPACT SYMMETRIC OBJECTS: WHAT POWERS RADIO-LOUD ACTIVE GALACTIC NUCLEI?. The Astrophysical Journal. 713(2). 1393–1412. 30 indexed citations
18.
Johnston, S., A. Karastergiou, & Kyle Willett. (2006). High-frequency observations of southern pulsars. Monthly Notices of the Royal Astronomical Society. 369(4). 1916–1928. 29 indexed citations
19.
Willett, Kyle, Bruce G. Elmegreen, & Deidre A. Hunter. (2005). Power Spectra inVband and Hα of Nine Irregular Galaxies. The Astronomical Journal. 129(5). 2186–2196. 20 indexed citations
20.
Willett, Kyle & George G. Lendaris. (2002). Projection in conceptual graphs using neural networks. PDXScholar (Portland State University). 1. 120–120. 2 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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