James Aguirre

10.9k total citations
67 papers, 2.4k citations indexed

About

James Aguirre is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Aerospace Engineering. According to data from OpenAlex, James Aguirre has authored 67 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Astronomy and Astrophysics, 22 papers in Nuclear and High Energy Physics and 13 papers in Aerospace Engineering. Recurrent topics in James Aguirre's work include Radio Astronomy Observations and Technology (29 papers), Galaxies: Formation, Evolution, Phenomena (24 papers) and Astrophysics and Cosmic Phenomena (22 papers). James Aguirre is often cited by papers focused on Radio Astronomy Observations and Technology (29 papers), Galaxies: Formation, Evolution, Phenomena (24 papers) and Astrophysics and Cosmic Phenomena (22 papers). James Aguirre collaborates with scholars based in United States, United Kingdom and Canada. James Aguirre's co-authors include Aaron R. Parsons, Daniel Jacobs, Jonathan C. Pober, Jason Glenn, Neal J. Evans, Richard F. Bradley, P. M. Harvey, Matthew McQuinn, C. L. Carilli and David F. Moore 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

James Aguirre

61 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Aguirre United States 22 2.3k 856 480 331 172 67 2.4k
Willem A. Baan Netherlands 24 1.8k 0.8× 561 0.7× 156 0.3× 208 0.6× 64 0.4× 131 1.9k
R. J. Sault Australia 18 1.7k 0.7× 559 0.7× 184 0.4× 59 0.2× 41 0.2× 59 1.7k
L. Bronfman Chile 33 3.2k 1.4× 473 0.6× 75 0.2× 848 2.6× 136 0.8× 150 3.5k
Ryohei Kawabe Japan 29 2.6k 1.1× 267 0.3× 91 0.2× 704 2.1× 62 0.4× 174 2.7k
Jeff Wagg United States 28 2.4k 1.1× 623 0.7× 107 0.2× 77 0.2× 75 0.4× 70 2.5k
N. E. Kassim United States 31 3.2k 1.4× 2.2k 2.6× 306 0.6× 25 0.1× 94 0.5× 145 3.3k
M. J. Kesteven Australia 20 1.4k 0.6× 727 0.8× 113 0.2× 61 0.2× 66 0.4× 59 1.5k
G. V. Bicknell Australia 38 3.9k 1.7× 2.3k 2.7× 123 0.3× 36 0.1× 45 0.3× 149 4.1k
Myra Blaylock United States 19 2.2k 0.9× 298 0.3× 205 0.4× 25 0.1× 54 0.3× 52 2.5k
C. A. Hummel United States 26 2.0k 0.9× 220 0.3× 144 0.3× 79 0.2× 54 0.3× 123 2.3k

Countries citing papers authored by James Aguirre

Since Specialization
Citations

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

Fields of papers citing papers by James Aguirre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Aguirre

This figure shows the co-authorship network connecting the top 25 collaborators of James Aguirre. A scholar is included among the top collaborators of James Aguirre 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 James Aguirre. James Aguirre 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.
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
2.
Murray, Steven, Aaron R. Parsons, Joshua S. Dillon, et al.. (2025). fftvis : a non-uniform Fast Fourier Transform based interferometric visibility simulator. 4.
3.
Xu, Jiamin, et al.. (2024). A UKF enabled model based event detection system for drilling operations. Geoenergy Science and Engineering. 247. 213617–213617.
4.
Borrow, Josh, Paul La Plante, James Aguirre, & Peter K. G. Williams. (2024). Making Research Data Flow With Python. Proceedings of the Python in Science Conferences. 236–246.
5.
Billings, Tashalee S., Paul La Plante, & James Aguirre. (2021). Extracting the Optical Depth to Reionization τ from 21 cm Data Using Machine Learning Techniques. Publications of the Astronomical Society of the Pacific. 133(1022). 44001–44001. 2 indexed citations
6.
Lanman, Adam, B. J. Hazelton, Daniel Jacobs, et al.. (2019). pyuvsim: A comprehensive simulation package for radio interferometers in python.. The Journal of Open Source Software. 4(37). 1234–1234. 20 indexed citations
7.
Aguirre, James. (2018). STARFIRE: The Spectroscopic Terahertz Airborne Receiver for Far-InfraRed Exploration. 231. 1 indexed citations
8.
Moore, David F., James Aguirre, Saul A. Kohn, et al.. (2017). Limits on Polarized Leakage for the PAPER Epoch of Reionization Measurements at 126 and 164 MHz. The Astrophysical Journal. 836(2). 154–154. 10 indexed citations
9.
Hailey-Dunsheath, Steven, et al.. (2017). Development of low-noise kinetic inductance detectors for far-infrared astrophysics. Bulletin of the American Physical Society. 2017. 2 indexed citations
10.
Nunhokee, Chuneeta D., G. Bernardi, Saul A. Kohn, et al.. (2017). Constraining Polarized Foregrounds for EoR Experiments. II. Polarization Leakage Simulations in the Avoidance Scheme. The Astrophysical Journal. 848(1). 47–47. 13 indexed citations
11.
Chang, Tzu‐Ching, Yan Gong, Mário G. Santos, et al.. (2015). Synergy of CO/[CII]/Lya Line Intensity Mapping with the SKA. CaltechAUTHORS (California Institute of Technology). 4–4. 5 indexed citations
12.
DeBoer, David R., James Aguirre, Judd D. Bowman, et al.. (2015). The Hydrogen Epoch of Reionization Array (HERA). 360–360. 4 indexed citations
13.
Stefan, Irina I., C. L. Carilli, David A. Green, et al.. (2013). Imaging on PAPER: Centaurus A at 148 MHz. Monthly Notices of the Royal Astronomical Society. 432(2). 1285–1293. 9 indexed citations
14.
Ginsburg, Adam, Jason Glenn, Erik Rosolowsky, et al.. (2013). THE BOLOCAM GALACTIC PLANE SURVEY. IX. DATA RELEASE 2 AND OUTER GALAXY EXTENSION. The Astrophysical Journal Supplement Series. 208(2). 14–14. 82 indexed citations
15.
Spekkens, Kristine, et al.. (2013). A DEEP SEARCH FOR EXTENDED RADIO CONTINUUM EMISSION FROM DWARF SPHEROIDAL GALAXIES: IMPLICATIONS FOR PARTICLE DARK MATTER. The Astrophysical Journal. 773(1). 61–61. 37 indexed citations
16.
Pober, Jonathan C., Aaron R. Parsons, David R. DeBoer, et al.. (2013). THE BARYON ACOUSTIC OSCILLATION BROADBAND AND BROAD-BEAM ARRAY: DESIGN OVERVIEW AND SENSITIVITY FORECASTS. The Astronomical Journal. 145(3). 65–65. 107 indexed citations
17.
Pober, Jonathan C., Aaron R. Parsons, D. C. Backer, et al.. (2011). The Precision Array for Probing the Epoch of Reionization. 217.
18.
Kamenetzky, J., J. Glenn, Philip R. Maloney, et al.. (2011). THE DENSE MOLECULAR GAS IN THE CIRCUMNUCLEAR DISK OF NGC 1068. The Astrophysical Journal. 731(2). 83–83. 21 indexed citations
19.
Backer, D. C., Richard F. Bradley, Chaitali Parashare, et al.. (2007). PAPER: The Precision Array To Probe The Epoch Of Reionization. AAS. 211. 5 indexed citations
20.
Earle, L., P. A. R. Ade, James Aguirre, et al.. (2006). Z-Spec: a broadband direct-detection millimeter-wave spectrometer -- instrument status and first results. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6275. 627510–627510. 13 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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