M. Viero

7.9k total citations
18 papers, 375 citations indexed

About

M. Viero is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, M. Viero has authored 18 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 11 papers in Instrumentation and 3 papers in Nuclear and High Energy Physics. Recurrent topics in M. Viero's work include Galaxies: Formation, Evolution, Phenomena (15 papers), Astronomy and Astrophysical Research (11 papers) and Astrophysics and Star Formation Studies (8 papers). M. Viero is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (15 papers), Astronomy and Astrophysical Research (11 papers) and Astrophysics and Star Formation Studies (8 papers). M. Viero collaborates with scholars based in United States, Canada and United Kingdom. M. Viero's co-authors include G. Marsden, M. Zemcov, Asantha Cooray, D. Farrah, M. Halpern, D. Scott, M. Béthermin, Seb Oliver, Lorenzo Moncelsi and O. Ilbert 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

M. Viero

18 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Viero United States 10 351 172 90 14 13 18 375
Isak Wold United States 12 432 1.2× 191 1.1× 97 1.1× 6 0.4× 12 0.9× 27 456
Julia Kennefick United States 12 421 1.2× 173 1.0× 55 0.6× 21 1.5× 7 0.5× 27 449
Gregory D. Wirth United States 9 568 1.6× 293 1.7× 88 1.0× 26 1.9× 17 1.3× 28 589
Elizabeth R. Fernandez United States 9 342 1.0× 114 0.7× 119 1.3× 9 0.6× 4 0.3× 14 353
Mohammadjavad Vakili Netherlands 10 214 0.6× 105 0.6× 28 0.3× 18 1.3× 14 1.1× 12 234
A. Elyiv Ukraine 12 294 0.8× 76 0.4× 158 1.8× 41 2.9× 12 0.9× 35 341
I-Non Chiu United States 13 329 0.9× 171 1.0× 61 0.7× 14 1.0× 16 1.2× 23 346
T. A. Targett United Kingdom 5 427 1.2× 250 1.5× 56 0.6× 9 0.6× 13 1.0× 6 437
Z. L. Wen China 14 409 1.2× 241 1.4× 96 1.1× 12 0.9× 12 0.9× 31 424
A. Charbonnier Brazil 7 253 0.7× 69 0.4× 162 1.8× 19 1.4× 12 0.9× 11 308

Countries citing papers authored by M. Viero

Since Specialization
Citations

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

Fields of papers citing papers by M. Viero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Viero

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

All Works

18 of 18 papers shown
1.
Nguyen, Chi H., Phillip Korngut, C. D. Dowell, et al.. (2025). Improving H2RG Performance in SPHEREx Brassboard Model. The Astrophysical Journal Supplement Series. 276(2). 43–43. 1 indexed citations
2.
Chung, Dongwoo T., Patrick C. Breysse, H. T. Ihle, et al.. (2023). The deconvolved distribution estimator: enhancing reionization-era CO line-intensity mapping analyses with a cross-correlation analogue for one-point statistics. Monthly Notices of the Royal Astronomical Society. 520(4). 5305–5316. 5 indexed citations
3.
Cook, W. R., J. J. Bock, H. Hui, et al.. (2023). Noise Reduction Methods for Large-scale Intensity-mapping Measurements with Infrared Detector Arrays. The Astrophysical Journal Supplement Series. 268(2). 44–44. 3 indexed citations
4.
Viero, M., J. J. Bock, H. Hui, et al.. (2022). SPHERExLabTools (SLT): a Python data acquisition system for SPHEREx characterization and calibration. 1 indexed citations
5.
Chung, Dongwoo T., Patrick C. Breysse, H. T. Ihle, et al.. (2021). A Model of Spectral Line Broadening in Signal Forecasts for Line-intensity Mapping Experiments. The Astrophysical Journal. 923(2). 188–188. 15 indexed citations
6.
Ihle, H. T., Dongwoo T. Chung, George Stein, et al.. (2019). Joint Power Spectrum and Voxel Intensity Distribution Forecast on the CO Luminosity Function with COMAP. The Astrophysical Journal. 871(1). 75–75. 37 indexed citations
7.
Sun, Guochao, Lorenzo Moncelsi, M. Viero, et al.. (2018). A Foreground Masking Strategy for [C ii] Intensity Mapping Experiments Using Galaxies Selected by Stellar Mass and Redshift. The Astrophysical Journal. 856(2). 107–107. 35 indexed citations
8.
Wang, Lingyu, P. Norberg, M. Béthermin, et al.. (2016). The faint end of the 250μm luminosity function atz< 0.5. Astronomy and Astrophysics. 592. L5–L5. 5 indexed citations
9.
Duivenvoorden, Steven, Seb Oliver, V. Buat, et al.. (2016). HELP: star formation as a function of galaxy environment withHerschel. Monthly Notices of the Royal Astronomical Society. 462(1). 277–289. 6 indexed citations
10.
Vito, Fabio, R. Maiolino, P. Santini, et al.. (2014). Black hole accretion preferentially occurs in gas-rich galaxies*. Monthly Notices of the Royal Astronomical Society. 441(2). 1059–1065. 37 indexed citations
11.
Heinis, S., V. Buat, M. Béthermin, et al.. (2013). HerMES: dust attenuation and star formation activity in ultraviolet-selected samples from z∼ 4 to ∼ 1.5★. Monthly Notices of the Royal Astronomical Society. 437(2). 1268–1283. 67 indexed citations
12.
Farrah, D., Seb Oliver, M. Béthermin, et al.. (2013). Connecting stellar mass and star-formation rate to dark matter halo mass out to z ∼ 2. Monthly Notices of the Royal Astronomical Society. 431(1). 648–661. 53 indexed citations
13.
Viero, M., Lorenzo Moncelsi, Erin Mentuch Cooper, et al.. (2012). Measuring star formation in high-z massive galaxies: a mid-infrared to submillimetre study of the GOODS NICMOS Survey sample. Monthly Notices of the Royal Astronomical Society. 421(3). 2161–2169. 11 indexed citations
14.
Addison, Graeme E., Joanna Dunkley, Amir Hajian, et al.. (2012). POWER-LAW TEMPLATE FOR INFRARED POINT-SOURCE CLUSTERING. The Astrophysical Journal. 752(2). 120–120. 10 indexed citations
15.
Moncelsi, Lorenzo, P. A. R. Ade, Edward L. Chapin, et al.. (2011). A PANCHROMATIC STUDY OF BLAST COUNTERPARTS: TOTAL STAR FORMATION RATE, MORPHOLOGY, ACTIVE GALACTIC NUCLEUS FRACTION, AND STELLAR MASS. The Astrophysical Journal. 727(2). 83–83. 5 indexed citations
16.
Chapin, Edward L., S. C. Chapman, K. E. K. Coppin, et al.. (2010). A joint analysis of BLAST 250-500 μm and LABOCA 870 μm observations in the Extended Chandra Deep Field-South. Monthly Notices of the Royal Astronomical Society. 411(1). 505–549. 55 indexed citations
17.
Scott, K. S., Hans F. Stabenau, F. G. Braglia, et al.. (2010). SPITZER MIPS 24 and 70 μm IMAGING NEAR THE SOUTH ECLIPTIC POLE: MAPS AND SOURCE CATALOGS. The Astrophysical Journal Supplement Series. 191(2). 212–221. 7 indexed citations
18.
Eales, Stephen, Edward L. Chapin, Michelle Devlin, et al.. (2009). BLAST: THE REDSHIFT SURVEY. The Astrophysical Journal. 707(2). 1779–1808. 22 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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