Anna K. Weigel

861 total citations
8 papers, 449 citations indexed

About

Anna K. Weigel is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anna K. Weigel has authored 8 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 3 papers in Instrumentation and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anna K. Weigel's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (3 papers) and Astrophysical Phenomena and Observations (3 papers). Anna K. Weigel is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (3 papers) and Astrophysical Phenomena and Observations (3 papers). Anna K. Weigel collaborates with scholars based in Switzerland, United States and Chile. Anna K. Weigel's co-authors include Kevin Schawinski, Benny Trakhtenbrot, Ezequiel Treister, Michael Koss, Claudio Bruderer, Ce Zhang, Kyuseok Oh, Luis C. Ho, R. F. Mushotzky and Isabella Lamperti and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Anna K. Weigel

8 papers receiving 412 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 K. Weigel Switzerland 8 414 120 98 40 24 8 449
N. Martinet France 15 398 1.0× 159 1.3× 86 0.9× 25 0.6× 23 1.0× 24 436
T. M. C. Abbott Chile 2 414 1.0× 144 1.2× 101 1.0× 30 0.8× 17 0.7× 2 464
Taira Oogi Japan 11 481 1.2× 201 1.7× 114 1.2× 18 0.5× 33 1.4× 23 526
Maggie Lieu United Kingdom 9 234 0.6× 71 0.6× 64 0.7× 18 0.5× 16 0.7× 15 274
Y. Ascasíbar Netherlands 6 282 0.7× 133 1.1× 56 0.6× 25 0.6× 8 0.3× 12 311
T. George United States 5 572 1.4× 211 1.8× 188 1.9× 24 0.6× 13 0.5× 6 623
D. G. Bonfield United Kingdom 14 492 1.2× 232 1.9× 110 1.1× 21 0.5× 8 0.3× 22 510
V. Le Brun France 10 423 1.0× 204 1.7× 61 0.6× 21 0.5× 11 0.5× 18 434
V. Antonuccio-Delogu Italy 13 416 1.0× 129 1.1× 172 1.8× 15 0.4× 26 1.1× 41 517
Rachel Reddick United States 3 417 1.0× 217 1.8× 70 0.7× 25 0.6× 13 0.5× 5 434

Countries citing papers authored by Anna K. Weigel

Since Specialization
Citations

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

Fields of papers citing papers by Anna K. Weigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna K. Weigel

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

All Works

8 of 8 papers shown
1.
Weigel, Anna K., Kevin Schawinski, Ezequiel Treister, Benny Trakhtenbrot, & D. B. Sanders. (2018). The fraction of AGNs in major merger galaxies and its luminosity dependence. Monthly Notices of the Royal Astronomical Society. 476(2). 2308–2317. 24 indexed citations
2.
Schawinski, Kevin, Ce Zhang, Michael Koss, et al.. (2018). psfgan: a generative adversarial network system for separating quasar point sources and host galaxy light. Monthly Notices of the Royal Astronomical Society. 477(2). 2513–2527. 16 indexed citations
3.
Schawinski, Kevin, et al.. (2018). Using transfer learning to detect galaxy mergers. Monthly Notices of the Royal Astronomical Society. 479(1). 415–425. 88 indexed citations
4.
Weigel, Anna K., Kevin Schawinski, Neven Čaplar, et al.. (2017). Galaxy Zoo: Major Galaxy Mergers Are Not a Significant Quenching Pathway*. The Astrophysical Journal. 845(2). 145–145. 30 indexed citations
5.
Ricci, Cláudio, Benny Trakhtenbrot, Michael Koss, et al.. (2017). The close environments of accreting massive black holes are shaped by radiative feedback. Nature. 549(7673). 488–491. 162 indexed citations
6.
Weigel, Anna K., Kevin Schawinski, & Claudio Bruderer. (2016). Stellar mass functions: methods, systematics and results for the local Universe. Monthly Notices of the Royal Astronomical Society. 459(2). 2150–2187. 67 indexed citations
7.
Bär, Rudolf E., Anna K. Weigel, Lia F. Sartori, et al.. (2016). Active galactic nuclei from He ii: a more complete census of AGN in SDSS galaxies yields a new population of low-luminosity AGN in highly star-forming galaxies. Monthly Notices of the Royal Astronomical Society. 466(3). 2879–2887. 14 indexed citations
8.
Weigel, Anna K., Kevin Schawinski, Ezequiel Treister, et al.. (2015). The systematic search for z ≳ 5 active galactic nuclei in the Chandra Deep Field South. Monthly Notices of the Royal Astronomical Society. 448(4). 3167–3195. 48 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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