S. Grandis

3.2k total citations
21 papers, 266 citations indexed

About

S. Grandis is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, S. Grandis has authored 21 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 7 papers in Nuclear and High Energy Physics. Recurrent topics in S. Grandis's work include Galaxies: Formation, Evolution, Phenomena (17 papers), Astrophysical Phenomena and Observations (7 papers) and Astronomy and Astrophysical Research (7 papers). S. Grandis is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (17 papers), Astrophysical Phenomena and Observations (7 papers) and Astronomy and Astrophysical Research (7 papers). S. Grandis collaborates with scholars based in Germany, Austria and Italy. S. Grandis's co-authors include A. Saro, Alexandre Réfrégier, Aurel Schneider, J. J. Mohr, D. Eckert, J. P. Dietrich, V. Ghirardini, A. Amara, J. S. Sanders and David Rapetti and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

S. Grandis

19 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Grandis Germany 11 247 100 93 15 13 21 266
N. MacCrann United States 6 250 1.0× 84 0.8× 83 0.9× 7 0.5× 23 1.8× 9 262
Henrique S. Xavier Brazil 10 255 1.0× 131 1.3× 42 0.5× 5 0.3× 13 1.0× 12 294
Yotam Cohen Canada 5 322 1.3× 70 0.7× 151 1.6× 6 0.4× 24 1.8× 5 337
Wolfgang Enzi United Kingdom 9 350 1.4× 176 1.8× 82 0.9× 7 0.5× 44 3.4× 17 377
Robert Reischke Germany 11 264 1.1× 106 1.1× 47 0.5× 6 0.4× 8 0.6× 35 300
H. F. Stevance United Kingdom 12 385 1.6× 65 0.7× 57 0.6× 9 0.6× 8 0.6× 29 405
Luca Di Mascolo Germany 11 311 1.3× 91 0.9× 86 0.9× 15 1.0× 22 1.7× 28 339
Isak Wold United States 12 432 1.7× 97 1.0× 191 2.1× 8 0.5× 15 1.2× 27 456
O. G. Kashibadze Russia 11 461 1.9× 87 0.9× 183 2.0× 6 0.4× 6 0.5× 14 485
Urmila Chadayammuri United States 10 428 1.7× 124 1.2× 149 1.6× 7 0.5× 40 3.1× 17 461

Countries citing papers authored by S. Grandis

Since Specialization
Citations

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

Fields of papers citing papers by S. Grandis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Grandis

This figure shows the co-authorship network connecting the top 25 collaborators of S. Grandis. A scholar is included among the top collaborators of S. Grandis 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 S. Grandis. S. Grandis 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.
Okabe, N., S. Grandis, I-Non Chiu, et al.. (2025). The SRG/eROSITA all-sky survey. Astronomy and Astrophysics. 700. A46–A46. 3 indexed citations
2.
Sommer, Martin W., T. Schrabback, & S. Grandis. (2025). Directional miscentring dependence in weak lensing mass bias. Monthly Notices of the Royal Astronomical Society Letters. 538(1). L50–L55.
3.
Seppi, R., Johan Comparat, V. Ghirardini, et al.. (2024). The SRG/eROSITA All-Sky Survey. Astronomy and Astrophysics. 686. A196–A196. 9 indexed citations
4.
Wu, Hao‐Yi, S. Grandis, T. Jeltema, et al.. (2024). Forecasting the constraints on optical selection bias and projection effects of galaxy cluster lensing with multiwavelength data. Physical review. D. 110(10). 2 indexed citations
5.
Grandis, S., Giovanni Aricò, Aurel Schneider, & Laila Linke. (2024). Determining the baryon impact on the matter power spectrum with galaxy clusters. Monthly Notices of the Royal Astronomical Society. 528(3). 4379–4392. 21 indexed citations
6.
Clerc, N., Johan Comparat, R. Seppi, et al.. (2024). The SRG/eROSITA All-Sky Survey. Astronomy and Astrophysics. 687. A238–A238. 11 indexed citations
7.
Liu, Ang, Esra Bülbül, T. Shin, et al.. (2024). The SRG/eROSITA All-Sky Survey: Exploring halo assembly bias with X-ray-selected superclusters. Astronomy and Astrophysics. 688. A186–A186. 2 indexed citations
8.
Kim, Keunho, Matthew Bayliss, Allison Noble, et al.. (2023). A Gradual Decline of Star Formation since Cluster Infall: New Kinematic Insights into Environmental Quenching at 0.3 < z < 1.1. The Astrophysical Journal. 955(1). 32–32. 7 indexed citations
9.
Popesso, P., A. Biviano, Esra Bülbül, et al.. (2023). The X-ray invisible Universe. A look into the haloes undetected by eROSITA. Monthly Notices of the Royal Astronomical Society. 527(1). 895–910. 15 indexed citations
10.
Krippendorf, Sven, Esra Bülbül, M. Kara, et al.. (2023). The eROSITA Final Equatorial-Depth Survey (eFEDS): A machine learning approach to inferring galaxy cluster masses from eROSITA X-ray images. Astronomy and Astrophysics. 682. A132–A132. 4 indexed citations
11.
Rana, Divya, Surhud More, Hironao Miyatake, et al.. (2023). The eROSITA Final Equatorial-Depth Survey (eFEDS) – Splashback radius of X-ray galaxy clusters using galaxies from HSC survey. Monthly Notices of the Royal Astronomical Society. 522(3). 4181–4195. 7 indexed citations
12.
Ota, Naomi, N. T. Nguyen-Dang, Ikuyuki Mitsuishi, et al.. (2022). The eROSITA Final Equatorial-Depth Survey (eFEDS). Astronomy and Astrophysics. 669. A110–A110. 7 indexed citations
13.
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
14.
Eckert, D., A. Finoguenov, V. Ghirardini, et al.. (2020). Low-scatter galaxy cluster mass proxies for the eROSITA all-sky survey. The Open Journal of Astrophysics. 3(1). 29 indexed citations
15.
Schneider, Aurel, Alexandre Réfrégier, S. Grandis, et al.. (2020). Baryonic effects for weak lensing. Part II. Combination with X-ray data and extended cosmologies. Journal of Cosmology and Astroparticle Physics. 2020(4). 20–20. 35 indexed citations
16.
Capasso, R., J. J. Mohr, A. Saro, et al.. (2020). Mass calibration of the CODEX cluster sample using SPIDERS spectroscopy – II. The X-ray luminosity–mass relation. Monthly Notices of the Royal Astronomical Society. 494(2). 2736–2746. 10 indexed citations
17.
Capasso, R., J. J. Mohr, A. Saro, et al.. (2019). Mass calibration of the CODEX cluster sample using SPIDERS spectroscopy – I. The richness–mass relation. Monthly Notices of the Royal Astronomical Society. 486(2). 1594–1607. 16 indexed citations
18.
Grandis, S., J. J. Mohr, J. P. Dietrich, et al.. (2019). Impact of Weak Lensing Mass Calibration on eROSITA Galaxy Cluster Cosmological Studies – a Forecast. Monthly Notices of the Royal Astronomical Society. 12 indexed citations
19.
Grandis, S., David Rapetti, A. Saro, J. J. Mohr, & J. P. Dietrich. (2016). Quantifying tensions between CMB and distance data sets in models with free curvature or lensing amplitude. Monthly Notices of the Royal Astronomical Society. 463(2). 1416–1430. 28 indexed citations
20.
Grandis, S., et al.. (2015). Quantifying Concordance. arXiv (Cornell University).

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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