Anna Pancoast

2.6k total citations
17 papers, 544 citations indexed

About

Anna Pancoast is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Anna Pancoast has authored 17 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 3 papers in Instrumentation and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Anna Pancoast's work include Galaxies: Formation, Evolution, Phenomena (14 papers), Astrophysical Phenomena and Observations (9 papers) and Gamma-ray bursts and supernovae (6 papers). Anna Pancoast is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (14 papers), Astrophysical Phenomena and Observations (9 papers) and Gamma-ray bursts and supernovae (6 papers). Anna Pancoast collaborates with scholars based in United States, United Kingdom and South Korea. Anna Pancoast's co-authors include Tommaso Treu, Brendon J. Brewer, Aaron J. Barth, Daeseong Park, Jong-Hak Woo, Misty C. Bentz, Matthew A. Malkan, Vardha N. Bennert, Norman Murray and Crystal L. Martin and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.

In The Last Decade

Anna Pancoast

17 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Pancoast United States 11 530 122 75 36 19 17 544
Urmila Chadayammuri United States 10 428 0.8× 124 1.0× 149 2.0× 40 1.1× 10 0.5× 17 461
Vasiliy Demchenko United Kingdom 5 376 0.7× 112 0.9× 111 1.5× 21 0.6× 9 0.5× 5 391
Sandy M. Faber United States 4 235 0.4× 57 0.5× 98 1.3× 21 0.6× 11 0.6× 4 259
F. Brimioulle Germany 9 305 0.6× 44 0.4× 151 2.0× 41 1.1× 16 0.8× 10 320
D. G. Bonfield United Kingdom 14 492 0.9× 110 0.9× 232 3.1× 18 0.5× 12 0.6× 22 510
Ian Fenech Conti Netherlands 3 235 0.4× 88 0.7× 57 0.8× 30 0.8× 7 0.4× 3 251
Yotam Cohen Canada 5 322 0.6× 70 0.6× 151 2.0× 24 0.7× 8 0.4× 5 337
A. Charbonnier Brazil 7 253 0.5× 162 1.3× 69 0.9× 19 0.5× 9 0.5× 11 308
R. J. Cool United States 8 502 0.9× 101 0.8× 237 3.2× 21 0.6× 11 0.6× 12 511
N. MacCrann United States 6 250 0.5× 84 0.7× 83 1.1× 23 0.6× 4 0.2× 9 262

Countries citing papers authored by Anna Pancoast

Since Specialization
Citations

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

Fields of papers citing papers by Anna Pancoast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Pancoast

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

All Works

17 of 17 papers shown
1.
Pancoast, Anna, Vardha N. Bennert, David J. Sand, et al.. (2019). The Lick AGN Monitoring Project 2011: Photometric Light Curves. The Astrophysical Journal. 871(1). 108–108. 4 indexed citations
2.
Raimundo, S. I., Anna Pancoast, M. Vestergaard, M. R. Goad, & Aaron J. Barth. (2019). Modelling the AGN broad line region using single-epoch spectra – I. The test case of Arp 151. Monthly Notices of the Royal Astronomical Society. 489(2). 1899–1918. 7 indexed citations
3.
Knigge, C., P. R. Williams, K. Horne, et al.. (2019). Do reverberation mapping analyses provide an accurate picture of the broad-line region?. Monthly Notices of the Royal Astronomical Society. 488(2). 2780–2799. 13 indexed citations
4.
Keel, William C., Vardha N. Bennert, Anna Pancoast, et al.. (2018). AGN photoionization of gas in companion galaxies as a probe of AGN radiation in time and direction. Monthly Notices of the Royal Astronomical Society. 10 indexed citations
5.
Keel, William C., Chris Lintott, W. Peter Maksym, et al.. (2017). Fading AGN Candidates: AGN Histories and Outflow Signatures. The Astrophysical Journal. 835(2). 256–256. 60 indexed citations
6.
Park, Daeseong, Aaron J. Barth, Jong-Hak Woo, et al.. (2017). Extending the Calibration of C iv-based Single-epoch Black Hole Mass Estimators for Active Galactic Nuclei*. The Astrophysical Journal. 839(2). 93–93. 28 indexed citations
7.
Schirmer, M., Sangeeta Malhotra, N. A. Levenson, et al.. (2016). About AGN ionization echoes, thermal echoes and ionization deficits in low-redshift Lyα blobs. Monthly Notices of the Royal Astronomical Society. 463(2). 1554–1586. 18 indexed citations
8.
Pancoast, Anna. (2015). A New Method for Measuring Black Hole Masses in Active Galaxies: Modeling the Broad Line Region Using Reverberation Mapping Data. eScholarship (California Digital Library). 1 indexed citations
9.
Valenti, S., David J. Sand, Aaron J. Barth, et al.. (2015). ROBOTIC REVERBERATION MAPPING OF ARP 151. The Astrophysical Journal Letters. 813(2). L36–L36. 5 indexed citations
10.
Pancoast, Anna, et al.. (2015). Constraints on the broad line region from regularized linear inversion: velocity–delay maps for five nearby active galactic nuclei. Monthly Notices of the Royal Astronomical Society. 454(1). 144–160. 20 indexed citations
11.
Pancoast, Anna, Brendon J. Brewer, Tommaso Treu, et al.. (2014). Modelling reverberation mapping data – II. Dynamical modelling of the Lick AGN Monitoring Project 2008 data set. Monthly Notices of the Royal Astronomical Society. 445(3). 3073–3091. 161 indexed citations
12.
Pancoast, Anna, Brendon J. Brewer, & Tommaso Treu. (2014). Modelling reverberation mapping data – I. Improved geometric and dynamical models and comparison with cross-correlation results. Monthly Notices of the Royal Astronomical Society. 445(3). 3055–3072. 70 indexed citations
13.
Martin, Crystal L., Alice E. Shapley, Alison L. Coil, et al.. (2013). SCATTERED EMISSION FROMz∼ 1 GALACTIC OUTFLOWS. The Astrophysical Journal. 770(1). 41–41. 56 indexed citations
14.
Kelly, Brandon C., et al.. (2013). ACTIVE GALACTIC NUCLEUS BLACK HOLE MASS ESTIMATES IN THE ERA OF TIME DOMAIN ASTRONOMY. The Astrophysical Journal. 779(2). 187–187. 46 indexed citations
15.
Pancoast, Anna, R. Rosen, Vardha N. Bennert, A. Cucchiara, & J. X. Prochaska. (2012). GRB 120119A: Lick 3m spectroscopy.. GRB Coordinates Network. 12866. 1. 1 indexed citations
16.
Brewer, Brendon J., Tommaso Treu, Anna Pancoast, et al.. (2011). THE MASS OF THE BLACK HOLE IN Arp 151 FROM BAYESIAN MODELING OF REVERBERATION MAPPING DATA. The Astrophysical Journal Letters. 733(2). L33–L33. 36 indexed citations
17.
Pancoast, Anna, Anna Sajina, Mark Lacy, A. Noriega‐Crespo, & Jeonghee Rho. (2010). STAR FORMATION AND DUST OBSCURATION IN THE TIDALLY DISTORTED GALAXY NGC 2442. The Astrophysical Journal. 723(1). 530–543. 8 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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