Jonathan Sick

11.8k total citations
10 papers, 325 citations indexed

About

Jonathan Sick is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Jonathan Sick has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 3 papers in Computational Mechanics. Recurrent topics in Jonathan Sick's work include Astronomy and Astrophysical Research (7 papers), Galaxies: Formation, Evolution, Phenomena (5 papers) and Stellar, planetary, and galactic studies (5 papers). Jonathan Sick is often cited by papers focused on Astronomy and Astrophysical Research (7 papers), Galaxies: Formation, Evolution, Phenomena (5 papers) and Stellar, planetary, and galactic studies (5 papers). Jonathan Sick collaborates with scholars based in United States, Canada and Germany. Jonathan Sick's co-authors include Daniel Foreman-Mackey, Stéphane Courteau, Julianne J. Dalcanton, Benne W. Holwerda, Roelof S. de Jong, Anil C. Seth, Henry C. Ferguson, D. B. Zucker, T. M. Brown and Chris W. Purcell 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

Jonathan Sick

9 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Sick United States 7 319 179 16 14 10 10 325
R. Leiton Chile 8 362 1.1× 157 0.9× 32 2.0× 9 0.6× 9 0.9× 15 369
Nicholas S. Martis United States 11 291 0.9× 169 0.9× 26 1.6× 12 0.9× 6 0.6× 26 310
David Streich Germany 6 429 1.3× 259 1.4× 11 0.7× 12 0.9× 10 1.0× 6 433
Santiago Erroz-Ferrer Spain 11 335 1.1× 137 0.8× 30 1.9× 13 0.9× 8 0.8× 15 341
Marija Vlajić Australia 7 447 1.4× 242 1.4× 19 1.2× 8 0.6× 17 1.7× 8 450
R. B. Menezes Brazil 12 377 1.2× 136 0.8× 23 1.4× 11 0.8× 16 1.6× 38 391
Yunchong Wang United States 10 242 0.8× 143 0.8× 37 2.3× 15 1.1× 13 1.3× 20 255
Mélina Poulain France 9 253 0.8× 166 0.9× 21 1.3× 9 0.6× 10 1.0× 18 263
T. V. Ricci Brazil 11 364 1.1× 136 0.8× 25 1.6× 12 0.9× 17 1.7× 38 379
Laia Barrufet United Kingdom 9 288 0.9× 144 0.8× 30 1.9× 12 0.9× 5 0.5× 27 308

Countries citing papers authored by Jonathan Sick

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Sick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Sick

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

All Works

10 of 10 papers shown
1.
Neto, Angelo Fausti, et al.. (2024). Sasquatch: Rubin Observatory metrics and telemetry service. 59–59.
2.
Foreman-Mackey, Daniel, et al.. (2021). dfm/python-fsps: python-fsps v0.4.1rc1. Zenodo (CERN European Organization for Nuclear Research). 17 indexed citations
3.
Guy, L. P., William O’Mullane, K. Bechtol, et al.. (2020). Documentation automation for the verification and validation of Rubin Observatory software. 16–16. 1 indexed citations
4.
Lee-Waddell, K., Kristine Spekkens, P. Chandra, et al.. (2016). The frequency and properties of young tidal dwarf galaxies in nearby gas-rich groups. Monthly Notices of the Royal Astronomical Society. 460(3). 2945–2961. 16 indexed citations
5.
Jenness, Tim, James Bosch, Russell Owen, et al.. (2016). Investigating interoperability of the LSST data management software stack with Astropy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9913. 99130G–99130G. 5 indexed citations
6.
Sick, Jonathan, Stéphane Courteau, Jean‐Charles Cuillandre, et al.. (2014). The Stellar Mass of M31 as inferred by the Andromeda Optical & Infrared Disk Survey. Proceedings of the International Astronomical Union. 10(S311). 82–85. 16 indexed citations
7.
Lee-Waddell, K., Kristine Spekkens, Jean‐Charles Cuillandre, et al.. (2014). An extremely optically dim tidal feature in the gas-rich interacting galaxy group NGC 871/NGC 876/NGC 877. Monthly Notices of the Royal Astronomical Society. 443(4). 3601–3611. 15 indexed citations
8.
Foreman-Mackey, Daniel, et al.. (2014). python-fsps: Python bindings to FSPS (v0.1.1). Zenodo (CERN European Organization for Nuclear Research). 75 indexed citations
9.
Radburn-Smith, David J., Roelof S. de Jong, Anil C. Seth, et al.. (2011). THE GHOSTS SURVEY. I. HUBBLE SPACE TELESCOPE ADVANCED CAMERA FOR SURVEYS DATA. The Astrophysical Journal Supplement Series. 195(2). 18–18. 142 indexed citations
10.
Jong, Roelof S. de, Anil C. Seth, David J. Radburn-Smith, et al.. (2007). Stellar Populations across the NGC 4244 Truncated Galactic Disk. The Astrophysical Journal. 667(1). L49–L52. 38 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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