R. Scalzo

5.7k total citations · 1 hit paper
61 papers, 1.2k citations indexed

About

R. Scalzo is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, R. Scalzo has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 18 papers in Nuclear and High Energy Physics and 9 papers in Artificial Intelligence. Recurrent topics in R. Scalzo's work include Gamma-ray bursts and supernovae (22 papers), Astrophysics and Cosmic Phenomena (18 papers) and Pulsars and Gravitational Waves Research (8 papers). R. Scalzo is often cited by papers focused on Gamma-ray bursts and supernovae (22 papers), Astrophysics and Cosmic Phenomena (18 papers) and Pulsars and Gravitational Waves Research (8 papers). R. Scalzo collaborates with scholars based in Australia, United States and Canada. R. Scalzo's co-authors include Xiaoying Xu, Antonio J. Cuesta, Kushal Mehta, Nikhil Padmanabhan, Eyal Kazin, Daniel J. Eisenstein, Stuart Sim, Ashley J. Ruiter, P. Coppi and D. Rabinowitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

R. Scalzo

54 papers receiving 1.1k citations

Hit Papers

A 2 per cent distance toz= 0.35 by reconstructing baryon ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Scalzo Australia 17 904 477 101 99 71 61 1.2k
R. J. E. Smith Australia 22 1.3k 1.4× 318 0.7× 21 0.2× 31 0.3× 220 3.1× 57 1.7k
Enyu Zhao China 20 344 0.4× 302 0.6× 74 0.7× 59 0.6× 41 0.6× 95 1.3k
Lei Qian China 15 695 0.8× 212 0.4× 44 0.4× 16 0.2× 43 0.6× 57 902
Lynn B. Reid Australia 12 217 0.2× 91 0.2× 10 0.1× 39 0.4× 82 1.2× 24 583
Jim Fuller United States 29 2.7k 3.0× 244 0.5× 511 5.1× 13 0.1× 185 2.6× 107 2.9k
P. Melchior United States 14 586 0.6× 65 0.1× 249 2.5× 28 0.3× 10 0.1× 47 789
M. F. Bode United Kingdom 22 1.1k 1.2× 263 0.6× 64 0.6× 21 0.2× 72 1.0× 82 1.3k
J. Richard Shaw Canada 11 1.0k 1.1× 587 1.2× 69 0.7× 22 0.2× 7 0.1× 17 1.1k
Youling Yue China 13 603 0.7× 197 0.4× 34 0.3× 19 0.2× 44 0.6× 41 690
M. C. Smith United Kingdom 21 1.5k 1.7× 252 0.5× 698 6.9× 20 0.2× 44 0.6× 57 2.0k

Countries citing papers authored by R. Scalzo

Since Specialization
Citations

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

Fields of papers citing papers by R. Scalzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Scalzo

This figure shows the co-authorship network connecting the top 25 collaborators of R. Scalzo. A scholar is included among the top collaborators of R. Scalzo 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 R. Scalzo. R. Scalzo 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.
Wang, Xing, et al.. (2024). Fin-Bayes: A Multi-Objective Bayesian Optimization Framework for Soft Robotic Fingers. Soft Robotics. 11(5). 791–801. 9 indexed citations
2.
Norris, Barnaby, Vincent Déo, Peter Tuthill, et al.. (2023). Nonlinear Wave Front Reconstruction from a Pyramid Sensor using Neural Networks. Publications of the Astronomical Society of the Pacific. 135(1053). 114501–114501. 6 indexed citations
3.
McCully, C., Saurabh W. Jha, R. Scalzo, et al.. (2022). Still Brighter than Pre-explosion, SN 2012Z Did Not Disappear: Comparing Hubble Space Telescope Observations a Decade Apart. The Astrophysical Journal. 925(2). 138–138. 20 indexed citations
4.
Jessell, Mark, Jiateng Guo, Yunqiang Li, et al.. (2022). Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications. Earth system science data. 14(1). 381–392. 24 indexed citations
5.
Chang, Seo-Won, Christopher A. Onken, Christian Wolf, et al.. (2021). SkyMapper optical follow-up of gravitational wave triggers: Alert science data pipeline and LIGO/Virgo O3 run. Publications of the Astronomical Society of Australia. 38. 13 indexed citations
6.
Jessell, Mark, Jiateng Guo, Yunqiang Li, et al.. (2021). Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications. 1 indexed citations
7.
Gieseke, Fabian, S. Bloemen, Tom Heskes, et al.. (2017). Convolutional neural networks for transient candidate vetting in large-scale surveys. Monthly Notices of the Royal Astronomical Society. 472(3). 3101–3114. 26 indexed citations
8.
Yuan, F., Christian Wolf, R. Scalzo, & B. Schmidt. (2015). LIGO/Virgo G184098: SkyMapper observations.. GCN. 18349. 1.
9.
Monard, L. A. G., J. Brimacombe, M. Childress, et al.. (2014). Supernova 2014df in NGC 1448 = Psn J03442399-4440081. 3977. 1.
10.
Inserra, C., R. Scalzo, M. Fraser, et al.. (2013). SN2012ca: a stripped envelope core-collapse SN interacting with dense circumstellar medium. Monthly Notices of the Royal Astronomical Society Letters. 437(1). L51–L55. 13 indexed citations
11.
Childress, M., et al.. (2013). SN 2013fs now resembles a SN IIP. ATel. 5527. 1. 1 indexed citations
12.
Noguchi, T., P. Schmeer, M. Childress, et al.. (2013). Supernova 2013fs in NGC 7610 = Psn J23194467+1011045. 3671. 1.
13.
Childress, M., R. Scalzo, F. Yuan, B. Schmidt, & B. Tucker. (2013). Spectroscopic Classification of 3 Supernovae with WiFeS. The astronomer's telegram. 5455. 1.
14.
Monard, L. A. G., M. Childress, R. Scalzo, F. Yuan, & B. Schmidt. (2012). Supernova 2012ec in NGC 1084 = Psn J02455988-0734270. 3201. 1.
15.
Morton, Timothy D., A. J. Drake, S. G. Djorgovski, et al.. (2008). Archival light curve for the flaring GLAST blazar PKS 1502+106. ATel. 1661. 1. 1 indexed citations
16.
Mahabal, A., A. J. Drake, S. G. Djorgovski, et al.. (2008). Discovery and Confirmation of Supernovae from PQ and CRTS. ATel. 1778. 1. 1 indexed citations
17.
Djorgovski, S. G., Timothy D. Morton, A. J. Drake, et al.. (2008). Archival light curves for the gamma-ray bright blazar 3C 454.3. ATel. 1684. 1. 3 indexed citations
18.
Scalzo, R., C. E. Covault, P. Fortin, et al.. (2004). High‐Energy Gamma‐Ray Observations of W Comae with the Solar Tower Atmospheric Cerenkov Effect Experiment (STACEE). The Astrophysical Journal. 607(2). 778–787. 7 indexed citations
19.
Zweerink, J., C. E. Covault, P. Fortin, et al.. (2003). Using GHz FADCs to Reject Hadrons from STACEE Data. International Cosmic Ray Conference. 5. 2795. 1 indexed citations
20.
Scalzo, R., C. E. Covault, P. Fortin, et al.. (2003). Optimized Pointing Strategies for Solar Tower ACTs. ICRC. 5. 2799. 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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