Justin A. Ellis

6.8k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Justin A. Ellis is a scholar working on Astronomy and Astrophysics, Oceanography and Nuclear and High Energy Physics. According to data from OpenAlex, Justin A. Ellis has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 4 papers in Oceanography and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Justin A. Ellis's work include Pulsars and Gravitational Waves Research (13 papers), Gamma-ray bursts and supernovae (6 papers) and Radio Astronomy Observations and Technology (5 papers). Justin A. Ellis is often cited by papers focused on Pulsars and Gravitational Waves Research (13 papers), Gamma-ray bursts and supernovae (6 papers) and Radio Astronomy Observations and Technology (5 papers). Justin A. Ellis collaborates with scholars based in United States, Germany and United Kingdom. Justin A. Ellis's co-authors include Xavier Siemens, Stephen R. Taylor, Rutger van Haasteren, Joseph D. Romano, Paul Demorest, Fredrick Jenet, Kathryn Crowter, Joseph K. Swiggum, L. Levin and K. Stovall and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Physical review. D.

In The Last Decade

Justin A. Ellis

18 papers receiving 1.0k citations

Hit Papers

THE NANOGRAV NINE-YEAR DATA SET: MASS AND GEOMETRIC MEASU... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin A. Ellis United States 13 1.1k 271 208 205 119 19 1.1k
G. Desvignes Germany 17 940 0.9× 251 0.9× 169 0.8× 118 0.6× 76 0.6× 47 959
Tejaswi Venumadhav United States 18 1.3k 1.2× 319 1.2× 133 0.6× 188 0.9× 69 0.6× 36 1.4k
David Alvarez-Castillo Poland 15 839 0.8× 366 1.4× 106 0.5× 345 1.7× 146 1.2× 49 960
X. J. Zhu Australia 17 926 0.9× 200 0.7× 193 0.9× 96 0.5× 96 0.8× 32 948
Joonas Nättilä Finland 16 1.3k 1.2× 432 1.6× 185 0.9× 440 2.1× 137 1.2× 35 1.4k
L. Levin United Kingdom 12 1.4k 1.3× 376 1.4× 152 0.7× 256 1.2× 116 1.0× 35 1.5k
K. Stovall United States 16 1.1k 1.0× 347 1.3× 174 0.8× 238 1.2× 96 0.8× 35 1.1k
R. Ciolfi Italy 19 1.4k 1.3× 349 1.3× 129 0.6× 193 0.9× 58 0.5× 35 1.4k
Chengmin Zhang China 15 903 0.9× 248 0.9× 85 0.4× 286 1.4× 40 0.3× 112 980
John Antoniadis Germany 14 1.2k 1.1× 234 0.9× 194 0.9× 119 0.6× 52 0.4× 37 1.2k

Countries citing papers authored by Justin A. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Justin A. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin A. Ellis

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

All Works

19 of 19 papers shown
1.
Ellis, Justin A., Michele Vallisneri, Stephen R. Taylor, & P. T. Baker. (2020). ENTERPRISE: Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE. Zenodo (CERN European Organization for Nuclear Research). 55 indexed citations
2.
Luo, Jing, S. M. Ransom, Paul Demorest, et al.. (2020). PINT: A Modern Software Package for Pulsar Timing. arXiv (Cornell University). 231.
3.
Ellis, Justin A. & Rutger van Haasteren. (2019). PTMCMCSampler: Parallel tempering MCMC sampler package written in Python. Astrophysics Source Code Library. 3 indexed citations
4.
Ghosh, Sujit K., et al.. (2018). How proper are Bayesian models in the astronomical literature?. Monthly Notices of the Royal Astronomical Society. 481(1). 277–285. 15 indexed citations
5.
Vigeland, Sarah J., Kristina Islo, Stephen R. Taylor, & Justin A. Ellis. (2018). Noise-marginalized optimal statistic: A robust hybrid frequentist-Bayesian statistic for the stochastic gravitational-wave background in pulsar timing arrays. Physical review. D. 98(4). 30 indexed citations
6.
Ellis, Justin A. & Rutger van Haasteren. (2017). jellis18/PAL2: PAL2. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
7.
Mingarelli, Chiara M. F., T. Joseph W. Lazio, Alberto Sesana, et al.. (2017). The local nanohertz gravitational-wave landscape from supermassive black hole binaries. Nature Astronomy. 1(12). 886–892. 97 indexed citations
8.
Lazio, T. Joseph W., Shyam Bhaskaran, Curt Cutler, et al.. (2017). Solar System Ephemerides, Pulsar Timing, Gravitational Waves, & Navigation. Proceedings of the International Astronomical Union. 13(S337). 150–153. 3 indexed citations
9.
Ellis, Justin A. & Rutger van Haasteren. (2017). jellis18/PTMCMCSampler: Official Release. Zenodo (CERN European Organization for Nuclear Research). 53 indexed citations
10.
Fonseca, Emmanuel, Timothy T. Pennucci, Justin A. Ellis, et al.. (2016). THE NANOGRAV NINE-YEAR DATA SET: MASS AND GEOMETRIC MEASUREMENTS OF BINARY MILLISECOND PULSARS. The Astrophysical Journal. 832(2). 167–167. 420 indexed citations breakdown →
11.
Ellis, Justin A., et al.. (2016). Transdimensional Bayesian approach to pulsar timing noise analysis. Physical review. D. 93(8). 14 indexed citations
12.
Morozova, Viktoriya, Anthony L. Piro, Mathieu Renzo, et al.. (2015). LIGHT CURVES OF CORE-COLLAPSE SUPERNOVAE WITH SUBSTANTIAL MASS LOSS USING THE NEW OPEN-SOURCE SUPERNOVA EXPLOSION CODE (SNEC). The Astrophysical Journal. 814(1). 63–63. 124 indexed citations
13.
Taylor, Stephen R., Michele Vallisneri, Justin A. Ellis, et al.. (2015). Are we there yet? Time to detection of nanohertz gravitational waves based on pulsar-timing array limits. MPG.PuRe (Max Planck Society). 2016. 1 indexed citations
14.
Chamberlin, S. J., J. D. E. Creighton, Xavier Siemens, et al.. (2015). Time-domain implementation of the optimal cross-correlation statistic for stochastic gravitational-wave background searches in pulsar timing data. Physical review. D. Particles, fields, gravitation, and cosmology. 91(4). 49 indexed citations
15.
Zhu, Weiwei, I. H. Stairs, Paul Demorest, et al.. (2015). TESTING THEORIES OF GRAVITATION USING 21-YEAR TIMING OF PULSAR BINARY J1713+0747. The Astrophysical Journal. 809(1). 41–41. 44 indexed citations
16.
Ellis, Justin A.. (2014). NANOGrav Limits on Continuous Gravitational Waves from Supermassive Black Hole Binaries. Bulletin of the American Physical Society. 2014. 1 indexed citations
17.
Taylor, Stephen R., Justin A. Ellis, & J. R. Gair. (2014). Accelerated Bayesian model-selection and parameter-estimation in continuous gravitational-wave searches with pulsar-timing arrays. Physical review. D. Particles, fields, gravitation, and cosmology. 90(10). 28 indexed citations
18.
Siemens, Xavier, Justin A. Ellis, Fredrick Jenet, & Joseph D. Romano. (2013). The stochastic background: scaling laws and time to detection for pulsar timing arrays. Classical and Quantum Gravity. 30(22). 224015–224015. 114 indexed citations
19.
Ellis, Justin A., Xavier Siemens, & Rutger van Haasteren. (2013). AN EFFICIENT APPROXIMATION TO THE LIKELIHOOD FOR GRAVITATIONAL WAVE STOCHASTIC BACKGROUND DETECTION USING PULSAR TIMING DATA. The Astrophysical Journal. 769(1). 63–63. 25 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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