M. E. Ramos-Ceja

4.1k total citations
38 papers, 550 citations indexed

About

M. E. Ramos-Ceja is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, M. E. Ramos-Ceja has authored 38 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Astronomy and Astrophysics, 14 papers in Nuclear and High Energy Physics and 10 papers in Instrumentation. Recurrent topics in M. E. Ramos-Ceja's work include Galaxies: Formation, Evolution, Phenomena (33 papers), Astrophysical Phenomena and Observations (20 papers) and Astrophysics and Cosmic Phenomena (13 papers). M. E. Ramos-Ceja is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (33 papers), Astrophysical Phenomena and Observations (20 papers) and Astrophysics and Cosmic Phenomena (13 papers). M. E. Ramos-Ceja collaborates with scholars based in Germany, France and United States. M. E. Ramos-Ceja's co-authors include F. Pacaud, T. H. Reiprich, K. Migkas, Gerrit Schellenberger, L. Lovisari, V. Ghirardini, J. S. Sanders, Esra Bülbül, N. T. Nguyen-Dang and Jens Erler 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

M. E. Ramos-Ceja

38 papers receiving 494 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. E. Ramos-Ceja Germany 13 529 213 167 35 21 38 550
V. Ghirardini Germany 15 623 1.2× 200 0.9× 213 1.3× 48 1.4× 24 1.1× 35 651
Fulvio Ferlito United Kingdom 11 370 0.7× 131 0.6× 170 1.0× 20 0.6× 19 0.9× 14 411
Shihong Liao China 15 520 1.0× 140 0.7× 237 1.4× 11 0.3× 26 1.2× 37 565
Christina Magoulas Australia 9 529 1.0× 117 0.5× 198 1.2× 15 0.4× 19 0.9× 15 560
J. Donnert Italy 14 677 1.3× 374 1.8× 136 0.8× 30 0.9× 37 1.8× 19 719
Nathan J. Secrest United States 14 714 1.3× 240 1.1× 171 1.0× 31 0.9× 25 1.2× 48 750
Pauli Pihajoki Finland 12 378 0.7× 156 0.7× 66 0.4× 24 0.7× 20 1.0× 18 432
L. Perotto France 10 456 0.9× 294 1.4× 70 0.4× 15 0.4× 17 0.8× 15 534
S. I. Loubser South Africa 14 857 1.6× 285 1.3× 323 1.9× 20 0.6× 40 1.9× 35 882
Adelheid F. Teklu Germany 6 519 1.0× 92 0.4× 260 1.6× 32 0.9× 30 1.4× 9 545

Countries citing papers authored by M. E. Ramos-Ceja

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Ramos-Ceja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Ramos-Ceja. 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. E. Ramos-Ceja. The network helps show where M. E. Ramos-Ceja may publish in the future.

Co-authorship network of co-authors of M. E. Ramos-Ceja

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Ramos-Ceja. A scholar is included among the top collaborators of M. E. Ramos-Ceja 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. E. Ramos-Ceja. M. E. Ramos-Ceja 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.
Seppi, R., Johan Comparat, V. Ghirardini, et al.. (2024). The SRG/eROSITA All-Sky Survey. Astronomy and Astrophysics. 686. A196–A196. 9 indexed citations
2.
Bülbül, Esra, Xiaoyuan Zhang, Matthias Kluge, et al.. (2024). The galaxy group merger origin of the Cloverleaf odd radio circle system. Astronomy and Astrophysics. 685. L2–L2. 2 indexed citations
3.
Clerc, N., Johan Comparat, R. Seppi, et al.. (2024). The SRG/eROSITA All-Sky Survey. Astronomy and Astrophysics. 687. A238–A238. 11 indexed citations
4.
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
5.
Reiprich, T. H., A. Stanford, Gerrit Schellenberger, et al.. (2024). Examining the local Universe isotropy with galaxy cluster velocity dispersion scaling relations. Astronomy and Astrophysics. 691. A355–A355. 3 indexed citations
6.
Veronica, A., T. H. Reiprich, F. Pacaud, et al.. (2023). The eROSITA view of the Abell 3391/95 field. Astronomy and Astrophysics. 681. A108–A108. 7 indexed citations
7.
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
8.
McGee, Sean, T. J. Ponman, M. E. Ramos-Ceja, et al.. (2022). The XXL Survey. Astronomy and Astrophysics. 663. A2–A2. 5 indexed citations
9.
Liu, Ang, Esra Bülbül, M. E. Ramos-Ceja, et al.. (2022). X-ray analysis of JWST’s first galaxy cluster lens SMACS J0723.3−7327. Astronomy and Astrophysics. 670. A96–A96. 13 indexed citations
10.
Whelan, B. J., F. Pacaud, T. H. Reiprich, et al.. (2022). X-ray studies of the Abell 3158 galaxy cluster with eROSITA. Astronomy and Astrophysics. 663. A171–A171. 7 indexed citations
11.
Pasini, T., M. Brüggen, D. N. Hoang, et al.. (2021). The eROSITA Final Equatorial-Depth Survey (eFEDS). Astronomy and Astrophysics. 661. A13–A13. 18 indexed citations
12.
Biffi, Veronica, Klaus Dolag, T. H. Reiprich, et al.. (2021). The eROSITA view of the Abell 3391/95 field: a case study from the Magneticum cosmological simulation. arXiv (Cornell University). 23 indexed citations
13.
Schwope, A., A. M. Pires, J. Kurpas, et al.. (2021). Phase-resolved X-ray spectroscopy of PSR B0656+14 with SRG/eROSITA andXMM-Newton. Astronomy and Astrophysics. 661. A41–A41. 11 indexed citations
14.
Ramos-Ceja, M. E., et al.. (2020). High-redshift galaxy groups as seen by ATHENA/WFI. Springer Link (Chiba Institute of Technology). 9 indexed citations
15.
Migkas, K., Gerrit Schellenberger, T. H. Reiprich, et al.. (2020). Probing cosmic isotropy with a new X-ray galaxy cluster sample through theLX–Tscaling relation. Astronomy and Astrophysics. 636. A15–A15. 111 indexed citations
16.
Ramos-Ceja, M. E., F. Pacaud, T. H. Reiprich, et al.. (2019). Projection effects in galaxy cluster samples: insights from X-ray redshifts. Springer Link (Chiba Institute of Technology). 12 indexed citations
17.
Finoguenov, A., D. Eckert, N. Clerc, et al.. (2019). Toward the low-scatter selection of X-ray clusters: Galaxy cluster detection with eROSITA through cluster outskirts. arXiv (Cornell University). 10 indexed citations
18.
Xu, Weiwei, M. E. Ramos-Ceja, F. Pacaud, T. H. Reiprich, & T. Erben. (2018). A new X-ray-selected sample of very extended galaxy groups from the ROSAT All-Sky Survey. Springer Link (Chiba Institute of Technology). 19 indexed citations
19.
Ricci, M., Christophe Benoıst, S. Maurogordato, et al.. (2018). The XXL Survey. Astronomy and Astrophysics. 620. A13–A13. 6 indexed citations
20.
Ramos-Ceja, M. E., Kaustuv Basu, F. Pacaud, & F. Bertoldi. (2015). Constraining the intracluster pressure profile from the thermal SZ power spectrum. Springer Link (Chiba Institute of Technology). 5 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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