Nicholas S. Kern

12.6k total citations
20 papers, 244 citations indexed

About

Nicholas S. Kern is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Nicholas S. Kern has authored 20 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 9 papers in Aerospace Engineering and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Nicholas S. Kern's work include Radio Astronomy Observations and Technology (14 papers), Astrophysics and Cosmic Phenomena (8 papers) and Galaxies: Formation, Evolution, Phenomena (5 papers). Nicholas S. Kern is often cited by papers focused on Radio Astronomy Observations and Technology (14 papers), Astrophysics and Cosmic Phenomena (8 papers) and Galaxies: Formation, Evolution, Phenomena (5 papers). Nicholas S. Kern collaborates with scholars based in United States, United Kingdom and Italy. Nicholas S. Kern's co-authors include Adrian Liu, Christopher A. Miller, Nicolas Fagnoni, Eloy de Lera Acedo, Adam Lanman, Joshua S. Dillon, Aaron R. Parsons, David R. DeBoer, G. Bernardi and Jonathan C. Pober and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astronomical Journal.

In The Last Decade

Nicholas S. Kern

18 papers receiving 229 citations

Peers

Nicholas S. Kern
Joshua G. Albert Netherlands
H. T. J. Bevins United Kingdom
B. K. Gehlot Netherlands
Mayuri Sathyanarayana Rao India
A. Raghunathan India
K. S. Srivani India
Alex Dunning Australia
V. N. Pandey Netherlands
Griffin Foster United States
Nicole E. Gugliucci United States
Joshua G. Albert Netherlands
Nicholas S. Kern
Citations per year, relative to Nicholas S. Kern Nicholas S. Kern (= 1×) peers Joshua G. Albert

Countries citing papers authored by Nicholas S. Kern

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas S. Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas S. Kern

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas S. Kern. A scholar is included among the top collaborators of Nicholas S. Kern 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 Nicholas S. Kern. Nicholas S. Kern 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.
Keating, Garrett K., B. J. Hazelton, Matthew Kolopanis, et al.. (2025). pyuvdata v3: an interface for astronomical interferometric data sets in Python. The Journal of Open Source Software. 10(109). 7482–7482. 3 indexed citations
2.
Pascua, Robert, Zachary E. Martinot, Adrian Liu, et al.. (2025). A Generalized Method for Characterizing 21 cm Power Spectrum Signal Loss from Temporal Filtering of Drift-scanning Visibilities. The Astrophysical Journal. 985(1). 127–127. 1 indexed citations
3.
Kern, Nicholas S.. (2025). A differentiable, end-to-end forward model for 21 cm cosmology: estimating the foreground, instrument, and signal joint posterior. Monthly Notices of the Royal Astronomical Society. 541(2). 687–713. 3 indexed citations
4.
Kern, Nicholas S., Jacqueline N. Hewitt, Joshua S. Dillon, et al.. (2023). The Impact of Beam Variations on Power Spectrum Estimation for 21 cm Cosmology. II. Mitigation of Foreground Systematics for HERA. The Astrophysical Journal. 953(2). 136–136. 7 indexed citations
5.
Kern, Nicholas S., G. Bernardi, Hertzog L. Bester, et al.. (2023). On the use of temporal filtering for mitigating galactic synchrotron calibration bias in 21 cm reionization observations. Monthly Notices of the Royal Astronomical Society. 522(1). 1009–1021. 9 indexed citations
6.
Verhoff, Marcel A., Stefan W. Toennes, Cora Wunder, et al.. (2023). Comparison of all completed suicides in Frankfurt am Main (Hessen) before and during the early COVID-19 pandemic. Forensic Science Medicine and Pathology. 20(4). 1178–1186.
7.
Hewitt, Jacqueline N., Nicholas S. Kern, Joshua S. Dillon, et al.. (2022). The Impact of Beam Variations on Power Spectrum Estimation for 21 cm Cosmology. I. Simulations of Foreground Contamination for HERA. The Astrophysical Journal. 941(2). 207–207. 9 indexed citations
8.
Bernardi, G., Hertzog L. Bester, O. Smirnov, et al.. (2022). Simulations of primary beam effects on the cosmic bispectrum phase observed with the Hydrogen Epoch of Reionization Array. Monthly Notices of the Royal Astronomical Society. 512(2). 2716–2727. 2 indexed citations
9.
Barry, N., G. Bernardi, Bradley Greig, Nicholas S. Kern, & Florent Mertens. (2021). SKA-Low Intensity Mapping Pathfinder Updates: Deeper 21 cm Power\n Spectrum Limits from Improved Analysis Frameworks. arXiv (Cornell University). 8 indexed citations
10.
Plante, Paul La, Joshua S. Dillon, Matthew Kolopanis, et al.. (2021). hera_opm: The HERA Online Processing Module. Astrophysics Source Code Library.
11.
Ewall‐Wice, Aaron, Nicholas S. Kern, Joshua S. Dillon, et al.. (2020). DAYENU: a simple filter of smooth foregrounds for intensity mapping power spectra. Monthly Notices of the Royal Astronomical Society. 500(4). 5195–5213. 27 indexed citations
12.
Kern, Nicholas S. & Adrian Liu. (2020). Gaussian process foreground subtraction and power spectrum estimation for 21 cm cosmology. Monthly Notices of the Royal Astronomical Society. 501(1). 1463–1480. 32 indexed citations
13.
Lanman, Adam, Jonathan C. Pober, Nicholas S. Kern, et al.. (2020). Quantifying EoR delay spectrum contamination from diffuse radio emission. Monthly Notices of the Royal Astronomical Society. 494(3). 3712–3727. 14 indexed citations
14.
Lanman, Adam & Nicholas S. Kern. (2019). healvis: Radio interferometric visibility simulator based on HEALpix maps. ascl. 3 indexed citations
15.
Kern, Nicholas S., Aaron R. Parsons, Joshua S. Dillon, et al.. (2019). Mitigating Internal Instrument Coupling for 21 cm Cosmology. I. Temporal and Spectral Modeling in Simulations. The Astrophysical Journal. 884(2). 105–105. 37 indexed citations
16.
Dillon, Joshua S., Saul A. Kohn, Aaron R. Parsons, et al.. (2018). Polarized Redundant-Baseline Calibration for 21 cm Cosmology Without Adding Spectral Structure. Monthly Notices of the Royal Astronomical Society. 20 indexed citations
17.
Kern, Nicholas S., et al.. (2017). STACKING CAUSTIC MASSES FROM GALAXY CLUSTERS. The Astrophysical Journal. 834(2). 204–204. 10 indexed citations
18.
Miller, Christopher J., Nicholas S. Kern, Gong‐Bo Zhao, et al.. (2016). Probing theories of gravity with phase space-inferred potentials of galaxy clusters. Physical review. D. 93(8). 9 indexed citations
19.
Kern, Nicholas S., et al.. (2016). RADIO PROPERTIES OF YOUNG STELLAR OBJECTS IN THE CORE OF THE SERPENS SOUTH INFRARED DARK CLOUD. The Astronomical Journal. 151(2). 42–42. 7 indexed citations
20.
Miller, Christopher A., et al.. (2013). A SYSTEMATIC ANALYSIS OF CAUSTIC METHODS FOR GALAXY CLUSTER MASSES. The Astrophysical Journal. 773(2). 116–116. 43 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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