Samuel J. Schmidt

1.1k total citations
21 papers, 437 citations indexed

About

Samuel J. Schmidt is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, Samuel J. Schmidt has authored 21 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 6 papers in Instrumentation and 5 papers in Ecology. Recurrent topics in Samuel J. Schmidt's work include Galaxies: Formation, Evolution, Phenomena (20 papers), Astronomy and Astrophysical Research (6 papers) and Remote Sensing in Agriculture (5 papers). Samuel J. Schmidt is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (20 papers), Astronomy and Astrophysical Research (6 papers) and Remote Sensing in Agriculture (5 papers). Samuel J. Schmidt collaborates with scholars based in United States, Germany and Australia. Samuel J. Schmidt's co-authors include Christopher Morrison, Brice Ménard, Ryan Scranton, Mubdi Rahman, J. A. Tyson, David Wittman, Cameron K. McBride, M. James Jee, H. Hildebrandt and William A. Dawson 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

Samuel J. Schmidt

17 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel J. Schmidt United States 11 393 141 93 85 38 21 437
T. Sadibekova France 8 568 1.4× 269 1.9× 124 1.3× 63 0.7× 32 0.8× 19 594
Christopher Morrison United States 12 291 0.7× 115 0.8× 45 0.5× 66 0.8× 33 0.9× 15 342
S. Heinis United States 11 587 1.5× 289 2.0× 60 0.6× 55 0.6× 27 0.7× 15 613
Ryoma Murata Japan 7 470 1.2× 223 1.6× 90 1.0× 38 0.4× 29 0.8× 8 497
Reinabelle Reyes United States 5 657 1.7× 255 1.8× 154 1.7× 48 0.6× 29 0.8× 9 676
Darren J. Croton Australia 9 548 1.4× 282 2.0× 81 0.9× 43 0.5× 29 0.8× 11 574
Martı́n Makler Brazil 13 607 1.5× 193 1.4× 235 2.5× 45 0.5× 30 0.8× 41 649
M. Treyer France 16 746 1.9× 342 2.4× 83 0.9× 62 0.7× 37 1.0× 27 800
P. A. A. Lopes Brazil 17 673 1.7× 418 3.0× 76 0.8× 79 0.9× 44 1.2× 46 716
Reiko Nakajima United Kingdom 10 552 1.4× 247 1.8× 103 1.1× 33 0.4× 33 0.9× 12 583

Countries citing papers authored by Samuel J. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Samuel J. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel J. Schmidt. 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 Samuel J. Schmidt. The network helps show where Samuel J. Schmidt may publish in the future.

Co-authorship network of co-authors of Samuel J. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J. Schmidt. A scholar is included among the top collaborators of Samuel J. Schmidt 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 Samuel J. Schmidt. Samuel J. Schmidt 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.
Combet, Céline, T. Guillemin, M. Ricci, et al.. (2025). Weak lensing mass-richness relation of redMaPPer clusters in LSST DESC DC2 simulations. Astronomy and Astrophysics. 700. A34–A34.
2.
Liu, Xin, Samuel J. Schmidt, Alex I. Malz, et al.. (2025). DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST. The Open Journal of Astrophysics. 8.
3.
Kalmbach, J. Bryce, et al.. (2024). Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows. The Astronomical Journal. 168(2). 80–80. 12 indexed citations
4.
Schmidt, Samuel J., et al.. (2021). The Impact of Tomographic Redshift Bin Width Errors on Cosmological Probes. arXiv (Cornell University). 3 indexed citations
5.
Gaztañaga, E., Samuel J. Schmidt, M. Schneider, & J. A. Tyson. (2021). Blending and obscuration in weak-lensing magnification. Monthly Notices of the Royal Astronomical Society. 503(4). 4964–4975.
6.
Robertson, Brant, M. Banerji, Sarah Brough, et al.. (2019). Galaxy formation and evolution science in the era of the Large Synoptic Survey Telescope. Nature Reviews Physics. 1(7). 450–462. 16 indexed citations
7.
Yoon, Mijin, M. James Jee, J. A. Tyson, et al.. (2019). Constraints on Cosmology and Baryonic Feedback with the Deep Lens Survey Using Galaxy–Galaxy and Galaxy–Mass Power Spectra. The Astrophysical Journal. 870(2). 111–111. 13 indexed citations
8.
Schmidt, Samuel J., et al.. (2018). Estimating Sky Level. Publications of the Astronomical Society of the Pacific. 130(990). 84504–84504. 7 indexed citations
9.
Morrison, Christopher, H. Hildebrandt, Samuel J. Schmidt, et al.. (2017). the-wizz: clustering redshift estimation for everyone. Monthly Notices of the Royal Astronomical Society. 467(3). 3576–3589. 32 indexed citations
10.
Lemaux, B. C., et al.. (2017). STAR FORMATION IN THE CLUSTER MERGER DLSCL J0916.2+2953. The Astrophysical Journal. 834(2). 205–205. 9 indexed citations
11.
Rahman, Mubdi, Alexander J. Mendez, Brice Ménard, et al.. (2016). Exploring the SDSS photometric galaxies with clustering redshifts. Monthly Notices of the Royal Astronomical Society. 460(1). 163–174. 25 indexed citations
12.
Masters, Daniel, P. Capak, Daniel Stern, et al.. (2015). MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS. The Astrophysical Journal. 813(1). 53–53. 91 indexed citations
13.
Rahman, Mubdi, Brice Ménard, Ryan Scranton, Samuel J. Schmidt, & Christopher Morrison. (2015). Clustering-based redshift estimation: comparison to spectroscopic redshifts. Monthly Notices of the Royal Astronomical Society. 447(4). 3500–3511. 38 indexed citations
14.
Schmidt, Samuel J., Brice Ménard, Ryan Scranton, et al.. (2014). Inferring the redshift distribution of the cosmic infrared background★. Monthly Notices of the Royal Astronomical Society. 446(3). 2696–2708. 33 indexed citations
15.
Ménard, Brice, Ryan Scranton, Samuel J. Schmidt, et al.. (2013). Estimating redshift distributions with spatial correlations: method and application to data. arXiv (Cornell University). 1 indexed citations
16.
Schmidt, Samuel J., Brice Ménard, Ryan Scranton, Christopher Morrison, & Cameron K. McBride. (2013). Recovering redshift distributions with cross-correlations: pushing the boundaries. Monthly Notices of the Royal Astronomical Society. 431(4). 3307–3318. 51 indexed citations
17.
Choi, A., J. A. Tyson, Christopher Morrison, et al.. (2012). GALAXY-MASS CORRELATIONS ON 10 Mpc SCALES IN THE DEEP LENS SURVEY. The Astrophysical Journal. 759(2). 101–101. 12 indexed citations
18.
Dawson, William A., David Wittman, M. James Jee, et al.. (2012). DISCOVERY OF A DISSOCIATIVE GALAXY CLUSTER MERGER WITH LARGE PHYSICAL SEPARATION. The Astrophysical Journal Letters. 747(2). L42–L42. 85 indexed citations
19.
Smith, A. Gordon, Andrew Hopkins, R. W. Hunstead, et al.. (2008). THE PHOENIX DEEP SURVEY: EXTREMELY RED GALAXIES AND CLUSTER CANDIDATES. The Astronomical Journal. 136(1). 358–366.
20.
Schmidt, Samuel J., Andrew J. Connolly, & Andrew Hopkins. (2006). The DRaGONS Survey: A Search for High‐Redshift Radio Galaxies and Heavily Obscured Active Galactic Nuclei. The Astrophysical Journal. 649(1). 63–78. 8 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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