C. N. A. Willmer

1.1k total citations
9 papers, 380 citations indexed

About

C. N. A. Willmer is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, C. N. A. Willmer has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in C. N. A. Willmer's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (7 papers) and Scientific Research and Discoveries (2 papers). C. N. A. Willmer is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (7 papers) and Scientific Research and Discoveries (2 papers). C. N. A. Willmer collaborates with scholars based in United States, United Kingdom and Brazil. C. N. A. Willmer's co-authors include A. Georgakakis, Jeffrey A. Newman, E. S. Laird, David C. Koo, Michael W. Davis, S. M. Faber, Darren Croton, Casey Papovich, Jennifer M. Lotz and S. Khan 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

C. N. A. Willmer

9 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. N. A. Willmer United States	5	377	251	45	14	13	9	380
M. S. Seigar United Kingdom	6	378 1.0×	165 0.7×	44 1.0×	12 0.9×	14 1.1×	8	385
Catherine E. White United States	7	278 0.7×	178 0.7×	40 0.9×	10 0.7×	9 0.7×	8	307
S. Heinis France	9	515 1.4×	261 1.0×	60 1.3×	11 0.8×	10 0.8×	11	519
D. Burgarella France	4	369 1.0×	176 0.7×	44 1.0×	13 0.9×	10 0.8×	4	377
J. P. Torres-Papaqui Mexico	8	348 0.9×	180 0.7×	36 0.8×	16 1.1×	12 0.9×	20	361
C. Kretchmer United States	4	357 0.9×	207 0.8×	48 1.1×	14 1.0×	24 1.8×	5	363
K. Bundy United Kingdom	3	351 0.9×	237 0.9×	24 0.5×	16 1.1×	16 1.2×	3	353
R. J. McLure United Kingdom	5	263 0.7×	168 0.7×	29 0.6×	16 1.1×	12 0.9×	5	266
V. Buat Spain	3	322 0.9×	144 0.6×	31 0.7×	11 0.8×	7 0.5×	3	330
Nathaniel Ross United States	6	362 1.0×	198 0.8×	36 0.8×	8 0.6×	7 0.5×	8	368

Countries citing papers authored by C. N. A. Willmer

Since Specialization

Citations

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

Fields of papers citing papers by C. N. A. Willmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. N. A. Willmer. 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 C. N. A. Willmer. The network helps show where C. N. A. Willmer may publish in the future.

Co-authorship network of co-authors of C. N. A. Willmer

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Büchner, Johannes, A. Merloni, K. Nandra, et al.. (2018). Dramatic X-ray spectral variability of a Compton-thick type-1 QSO at z ∼ 1. Monthly Notices of the Royal Astronomical Society. 2 indexed citations

2.

Symeonidis, M., D. J. Rosario, A. Georgakakis, et al.. (2010). The central energy source of 70 μm-selected galaxies: starburst or AGN?. Monthly Notices of the Royal Astronomical Society. 403(3). 1474–1490. 13 indexed citations

3.

Papovich, Casey, Ivelina Momcheva, C. N. A. Willmer, et al.. (2010). ASPITZER-SELECTED GALAXY CLUSTER ATz= 1.62. The Astrophysical Journal. 716(2). 1503–1513. 136 indexed citations

4.

Conselice, Christopher J., K. Bundy, Ignacio Trujillo, et al.. (2007). The properties and evolution of a K-band selected sample of massive galaxies at z∼ 0.4-2 in the Palomar/DEEP2 survey. Monthly Notices of the Royal Astronomical Society. 381(3). 962–986. 76 indexed citations

5.

Georgakakis, A., C. N. A. Willmer, Darren Croton, et al.. (2007). AEGIS: The Color-Magnitude Relation for X-Ray-selected Active Galactic Nuclei. The Astrophysical Journal. 660(1). L11–L14. 141 indexed citations

6.

Willmer, C. N. A., David C. Koo, N. Ellman, Michael J. Kurtz, & Alexander S. Szalay. (1996). A Medium-deep Survey of a Minislice at the North Galactic Pole. II. The Data. The Astrophysical Journal Supplement Series. 104. 199–199. 4 indexed citations

7.

Pellegrini, P. S., et al.. (1990). Distribution of galaxies in the Southern Galactic CAP. The Astronomical Journal. 99. 751–751. 5 indexed citations

8.

Pellegrini, P. S., C. N. A. Willmer, L. da Costa, & B. X. Santiago. (1990). On the statistical properties of the galaxy distribution. The Astrophysical Journal. 350. 95–95. 1 indexed citations

9.

Costa, L. da, et al.. (1984). Redshifts for 228 southern galaxies. The Astronomical Journal. 89. 1310–1310. 2 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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