E. S. Rykoff

29.7k total citations · 1 hit paper
71 papers, 2.9k citations indexed

About

E. S. Rykoff is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, E. S. Rykoff has authored 71 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Astronomy and Astrophysics, 23 papers in Instrumentation and 12 papers in Nuclear and High Energy Physics. Recurrent topics in E. S. Rykoff's work include Galaxies: Formation, Evolution, Phenomena (47 papers), Gamma-ray bursts and supernovae (24 papers) and Astronomy and Astrophysical Research (23 papers). E. S. Rykoff is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (47 papers), Gamma-ray bursts and supernovae (24 papers) and Astronomy and Astrophysical Research (23 papers). E. S. Rykoff collaborates with scholars based in United States, France and Germany. E. S. Rykoff's co-authors include Eduardo Rozo, Risa H. Wechsler, A. E. Evrard, E. Sheldon, Timothy A. McKay, Benjamin P. Koester, Jiangang Hao, Rachel Mandelbaum, M. R. Becker and J. Annis and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

E. S. Rykoff

64 papers receiving 2.8k citations

Hit Papers

redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. S. Rykoff United States 27 2.8k 1.4k 538 256 186 71 2.9k
M. Capaccioli Italy 32 2.9k 1.0× 1.7k 1.2× 320 0.6× 178 0.7× 173 0.9× 123 3.1k
Benne W. Holwerda United States 36 3.8k 1.4× 2.0k 1.5× 412 0.8× 206 0.8× 152 0.8× 180 4.0k
M. Boquien France 34 4.3k 1.5× 1.6k 1.2× 500 0.9× 125 0.5× 130 0.7× 133 4.5k
M. R. Merrifield United Kingdom 36 3.9k 1.4× 2.0k 1.5× 403 0.7× 133 0.5× 160 0.9× 142 4.0k
Sarah Brough Australia 36 3.5k 1.3× 2.2k 1.6× 326 0.6× 249 1.0× 137 0.7× 151 3.7k
J. Annis United States 25 2.2k 0.8× 1.1k 0.8× 334 0.6× 216 0.8× 130 0.7× 58 2.3k
N. R. Napolitano Italy 38 4.0k 1.4× 2.4k 1.8× 350 0.7× 273 1.1× 238 1.3× 169 4.2k
R. Cid Fernandes Brazil 38 4.6k 1.6× 2.2k 1.6× 440 0.8× 180 0.7× 127 0.7× 84 4.7k
M. Paolillo Italy 29 2.2k 0.8× 940 0.7× 500 0.9× 148 0.6× 78 0.4× 115 2.4k
V. Buat France 36 4.2k 1.5× 1.8k 1.4× 490 0.9× 151 0.6× 168 0.9× 116 4.3k

Countries citing papers authored by E. S. Rykoff

Since Specialization
Citations

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

Fields of papers citing papers by E. S. Rykoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Rykoff. 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 E. S. Rykoff. The network helps show where E. S. Rykoff may publish in the future.

Co-authorship network of co-authors of E. S. Rykoff

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Rykoff. A scholar is included among the top collaborators of E. S. Rykoff 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 E. S. Rykoff. E. S. Rykoff 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.
To, C., Joseph DeRose, Risa H. Wechsler, et al.. (2024). Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys. The Astrophysical Journal. 961(1). 59–59. 6 indexed citations
2.
Wechsler, Risa H., Joseph DeRose, Michael T. Busha, et al.. (2022). ADDGALS: Simulated Sky Catalogs for Wide Field Galaxy Surveys. The Astrophysical Journal. 931(2). 145–145. 20 indexed citations
3.
Wu, Hao‐Yi, M. Costanzi, C. To, et al.. (2022). Optical selection bias and projection effects in stacked galaxy cluster weak lensing. Monthly Notices of the Royal Astronomical Society. 515(3). 4471–4486. 23 indexed citations
4.
Clerc, N., A. Finoguenov, S. Damsted, et al.. (2021). SPIDERS: an overview of the largest catalogue of spectroscopically confirmed x-ray galaxy clusters. Monthly Notices of the Royal Astronomical Society. 503(4). 5763–5777. 13 indexed citations
5.
To, C., E. Krause, Eduardo Rozo, et al.. (2021). Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey. Monthly Notices of the Royal Astronomical Society. 502(3). 4093–4111. 18 indexed citations
6.
To, C., Rachel Reddick, Eduardo Rozo, E. S. Rykoff, & Risa H. Wechsler. (2020). RedMaPPer: Evolution and Mass Dependence of the Conditional Luminosity Functions of Red Galaxies in Galaxy Clusters. The Astrophysical Journal. 897(1). 15–15. 15 indexed citations
7.
Kiiveri, K., D. Gruen, A. Finoguenov, et al.. (2020). CODEX weak lensing mass catalogue and implications on the mass–richness relation. Monthly Notices of the Royal Astronomical Society. 502(1). 1494–1526. 6 indexed citations
8.
Baxter, Eric J., C. Chang, Bhuvnesh Jain, et al.. (2017). The Halo Boundary of Galaxy Clusters in the SDSS. The Astrophysical Journal. 841(1). 18–18. 71 indexed citations
9.
More, Surhud, Hironao Miyatake, Masahiro Takada, et al.. (2016). DETECTION OF THE SPLASHBACK RADIUS AND HALO ASSEMBLY BIAS OF MASSIVE GALAXY CLUSTERS. The Astrophysical Journal. 825(1). 39–39. 123 indexed citations
10.
Melchior, P., et al.. (2015). Optical broad-band photometry and reference image for APMUKS(BJ) B215839.70-615403.9 / ASASSN-15lh from the Dark Energy Survey. The astronomer's telegram. 7843. 1.
11.
Rozo, Eduardo, E. S. Rykoff, James G. Bartlett, & A. E. Evrard. (2013). A comparative study of local galaxy clusters – I. Derived X-ray observables. Monthly Notices of the Royal Astronomical Society. 438(1). 49–61. 29 indexed citations
12.
Ferrero, P., Д. А. Канн, E. S. Rykoff, et al.. (2008). A rapid response to GRB 070411. AIP conference proceedings. 1000. 257–260. 3 indexed citations
13.
Rykoff, E. S., Timothy A. McKay, M. R. Becker, et al.. (2008). Measuring the Mean and Scatter of the X‐Ray Luminosity–Optical Richness Relation for maxBCG Galaxy Clusters. The Astrophysical Journal. 675(2). 1106–1124. 50 indexed citations
14.
Quimby, R. & E. S. Rykoff. (2006). GRB060729: ROTSE-III observations of the slow optical decay.. GCN. 5377. 1. 1 indexed citations
15.
Quimby, R., E. S. Rykoff, & Bradley E. Schaefer. (2005). GRB050412: ROTSE-III optical limits.. GRB Coordinates Network. 3238. 1.
16.
Rykoff, E. S., S. A. Yost, & W. Rujopakarn. (2005). GRB 050525A: ROTSE-III detection of possible counterpart.. GRB Coordinates Network. 3322. 1. 1 indexed citations
17.
Rykoff, E. S., S. A. Yost, W. Rujopakarn, et al.. (2005). GRB 050922C: ROTSE-IIId refined analysis.. GRB Coordinates Network. 4012. 1.
18.
Smith, D. A., E. S. Rykoff, & S. A. Yost. (2005). GRB050215A: ROTSE-III optical observations.. GRB Coordinates Network. 3021. 1. 1 indexed citations
19.
Quimby, R., E. S. Rykoff, Bradley E. Schaefer, D. A. Smith, & S. A. Yost. (2005). GRB 050306: ROTSE-III early limits.. GCN. 3107. 1. 1 indexed citations
20.
Woźniak, P. R., C. Akerlof, Susan Amrose, et al.. (2001). Classification of ROTSE Variable Stars using Machine Learning. AAS. 199. 1 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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