M. Treyer

3.9k total citations
27 papers, 800 citations indexed

About

M. Treyer is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, M. Treyer has authored 27 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Astronomy and Astrophysics, 10 papers in Instrumentation and 4 papers in Nuclear and High Energy Physics. Recurrent topics in M. Treyer's work include Galaxies: Formation, Evolution, Phenomena (25 papers), Astronomy and Astrophysical Research (10 papers) and Stellar, planetary, and galactic studies (7 papers). M. Treyer is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (25 papers), Astronomy and Astrophysical Research (10 papers) and Stellar, planetary, and galactic studies (7 papers). M. Treyer collaborates with scholars based in France, United States and United Kingdom. M. Treyer's co-authors include M. Sullivan, Richard S. Ellis, D. Fouchez, E. Bertin, S. Arnouts, Mark Seibert, T. Contini, Bahram Mobasher, J. Wambsganß and B. Milliard 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. Treyer

26 papers receiving 771 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. Treyer France 16 746 342 83 62 43 27 800
S. Heinis United States 11 587 0.8× 289 0.8× 60 0.7× 55 0.9× 23 0.5× 15 613
S. Allam United States 15 664 0.9× 332 1.0× 87 1.0× 43 0.7× 25 0.6× 39 689
Jean Coupon Switzerland 17 789 1.1× 413 1.2× 101 1.2× 68 1.1× 46 1.1× 26 830
L. Limatola Italy 14 607 0.8× 371 1.1× 54 0.7× 57 0.9× 32 0.7× 33 635
P. A. A. Lopes Brazil 17 673 0.9× 418 1.2× 76 0.9× 79 1.3× 31 0.7× 46 716
T. Sadibekova France 8 568 0.8× 269 0.8× 124 1.5× 63 1.0× 31 0.7× 19 594
J. C. Muñoz-Mateos Spain 9 963 1.3× 546 1.6× 64 0.8× 34 0.5× 27 0.6× 11 978
S. Verley Spain 22 1.2k 1.7× 504 1.5× 167 2.0× 65 1.0× 44 1.0× 55 1.3k
D. Calzetti United States 9 713 1.0× 369 1.1× 55 0.7× 32 0.5× 53 1.2× 19 772
Amanda J. Moffett United States 19 851 1.1× 527 1.5× 69 0.8× 71 1.1× 65 1.5× 30 903

Countries citing papers authored by M. Treyer

Since Specialization
Citations

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

Fields of papers citing papers by M. Treyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Treyer. A scholar is included among the top collaborators of M. Treyer 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. Treyer. M. Treyer 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.
Treyer, M., et al.. (2023). CNN photometric redshifts in the SDSS at r ≤ 20. Monthly Notices of the Royal Astronomical Society. 527(1). 651–671. 12 indexed citations
2.
3.
Kraljic, Katarina, Christophe Pichon, Sandrine Codis, et al.. (2019). The impact of the connectivity of the cosmic web on the physical properties of galaxies at its nodes. Monthly Notices of the Royal Astronomical Society. 491(3). 4294–4309. 38 indexed citations
4.
Bertin, E., et al.. (2018). Photometric redshifts from SDSS images using a convolutional neural network. Astronomy and Astrophysics. 621. A26–A26. 103 indexed citations
5.
Treyer, M., Katarina Kraljic, S. Arnouts, et al.. (2018). Group quenching and galactic conformity at low redshift. Monthly Notices of the Royal Astronomical Society. 477(2). 2684–2704. 19 indexed citations
6.
Kraljic, Katarina, Christophe Pichon, Yohan Dubois, et al.. (2018). Galaxies flowing in the oriented saddle frame of the cosmic web. Monthly Notices of the Royal Astronomical Society. 483(3). 3227–3254. 41 indexed citations
7.
Moutard, T., S. Arnouts, O. Ilbert, et al.. (2016). The VIPERS Multi-Lambda Survey I. UV and near-IR observations, multi-colour catalogues, and photometric redshifts. CaltechAUTHORS (California Institute of Technology). 24 indexed citations
8.
Moutard, T., S. Arnouts, O. Ilbert, et al.. (2016). The VIPERS Multi-Lambda Survey. Astronomy and Astrophysics. 590. A102–A102. 47 indexed citations
9.
Arnouts, S., E. Le Floc’h, Jacopo Chevallard, et al.. (2013). Encoding of the infrared excess in theNUVrKcolor diagram for star-forming galaxies. Astronomy and Astrophysics. 558. A67–A67. 89 indexed citations
10.
Treyer, M., Ted K. Wyder, James D. Neill, Mark Seibert, & Janice Lee. (2011). UP2010 : have observations revealed a variable upper end of the initial mass function? : proceedings of a conference held at Sedona, Arizona, USA, 20-25 June 2010. Astronomical Society of the Pacific eBooks.
11.
Treyer, M., et al.. (2011). UP2010: Have Observations Revealed a Variable Upper End of the Initial Mass Function?. ASPC. 440. 30 indexed citations
12.
Lemonias, Jenna, David Schiminovich, David A. Thilker, et al.. (2011). THE SPACE DENSITY OF EXTENDED ULTRAVIOLET (XUV) DISKS IN THE LOCAL UNIVERSE AND IMPLICATIONS FOR GAS ACCRETION ONTO GALAXIES. The Astrophysical Journal. 733(2). 74–74. 40 indexed citations
13.
O’Dowd, Matthew, David Schiminovich, Benjamin D. Johnson, et al.. (2009). POLYCYCLIC AROMATIC HYDROCARBONS IN GALAXIES ATz∼ 0.1: THE EFFECT OF STAR FORMATION AND ACTIVE GALACTIC NUCLEI. The Astrophysical Journal. 705(1). 885–898. 44 indexed citations
14.
Treyer, M. & J. Wambsganß. (2004). Astrometric microlensing of quasars. Astronomy and Astrophysics. 416(1). 19–34. 28 indexed citations
15.
Heinis, S., M. Treyer, S. Arnouts, et al.. (2004). The clustering of ultraviolet-selected galaxies at $\textit{z} \approx \mathsf{0.1}$. Astronomy and Astrophysics. 424(2). L9–L12. 3 indexed citations
16.
Sullivan, M., M. Treyer, Richard S. Ellis, & Bahram Mobasher. (2004). An ultraviolet-selected galaxy redshift survey - III. Multicolour imaging and non-uniform star formation histories. Monthly Notices of the Royal Astronomical Society. 350(1). 21–34. 15 indexed citations
17.
Treyer, M. & J. Wambsganß. (2003). Astrometric Microlensing of Quasars : Dependence on surface mass density and external shear. ArXiv.org. 1 indexed citations
18.
Sullivan, M., Bahram Mobasher, B. Chan, et al.. (2001). A Comparison of Independent Star Formation Diagnostics for an Ultraviolet‐selected Sample of Nearby Galaxies. The Astrophysical Journal. 558(1). 72–80. 79 indexed citations
19.
Sołtan, A., M. J. Freyberg, G. Hasinger, et al.. (1999). The large scale structure of the soft X-ray background. III. Cosmological implications. 349(2). 354–362. 1 indexed citations
20.
Treyer, M. & O. Lahav. (1996). Faint blue galaxies as a probe of the X-ray background at high redshift. Monthly Notices of the Royal Astronomical Society. 280(2). 469–480. 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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