M. Verdugo

800 total citations
33 papers, 319 citations indexed

About

M. Verdugo is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, M. Verdugo has authored 33 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Astronomy and Astrophysics, 17 papers in Instrumentation and 3 papers in Nuclear and High Energy Physics. Recurrent topics in M. Verdugo's work include Galaxies: Formation, Evolution, Phenomena (26 papers), Astronomy and Astrophysical Research (17 papers) and Astrophysical Phenomena and Observations (14 papers). M. Verdugo is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (26 papers), Astronomy and Astrophysical Research (17 papers) and Astrophysical Phenomena and Observations (14 papers). M. Verdugo collaborates with scholars based in Austria, Germany and Chile. M. Verdugo's co-authors include B. Ziegler, Ulrike Kuchner, H. Böhringer, P. Rosati, R. Fassbender, A. Nastasi, Joana Santos, Boris Häußler, S. P. Bamford and D. Elbaz and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, IEEE Access and Astronomy and Astrophysics.

In The Last Decade

M. Verdugo

29 papers receiving 306 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. Verdugo Austria 10 288 169 39 13 11 33 319
Francisco Prada Spain 11 240 0.8× 132 0.8× 49 1.3× 14 1.1× 5 0.5× 14 263
Cristina Furlanetto Brazil 9 385 1.3× 147 0.9× 57 1.5× 6 0.5× 12 1.1× 29 396
E. Buckley‐Geer United States 7 318 1.1× 171 1.0× 41 1.1× 19 1.5× 14 1.3× 15 345
Y. Sophia Dai China 12 293 1.0× 141 0.8× 39 1.0× 5 0.4× 14 1.3× 36 321
Tonima Tasnim Ananna United States 12 350 1.2× 119 0.7× 74 1.9× 12 0.9× 9 0.8× 21 392
Arpad Szomoru Netherlands 10 250 0.9× 53 0.3× 102 2.6× 13 1.0× 4 0.4× 34 273
P. S. Bessiere Spain 13 468 1.6× 164 1.0× 101 2.6× 8 0.6× 20 1.8× 18 488
Leonardo Úbeda United States 13 435 1.5× 137 0.8× 16 0.4× 9 0.7× 8 0.7× 25 462
Jorge González-López Chile 11 285 1.0× 114 0.7× 71 1.8× 11 0.8× 4 0.4× 23 303
Anastasia A Ponomareva Netherlands 11 299 1.0× 143 0.8× 69 1.8× 6 0.5× 4 0.4× 23 319

Countries citing papers authored by M. Verdugo

Since Specialization
Citations

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

Fields of papers citing papers by M. Verdugo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Verdugo. A scholar is included among the top collaborators of M. Verdugo 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. Verdugo. M. Verdugo 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.
Ziegler, B., M. Verdugo, P. Papaderos, et al.. (2021). The VLT-MUSE and ALMA view of the MACS 1931.8-2635 brightest cluster galaxy. Astronomy and Astrophysics. 649. A23–A23. 7 indexed citations
2.
Pérez-Martínez, José Manuel, B. Ziegler, H. Dannerbauer, et al.. (2020). Evolution of galaxy scaling relations in clusters at 0.5 <z< 1.5. Astronomy and Astrophysics. 646. A53–A53. 4 indexed citations
3.
Otero, A., et al.. (2020). Run-Time Reconfigurable MPSoC-Based On-Board Processor for Vision-Based Space Navigation. IEEE Access. 8. 59891–59905. 18 indexed citations
4.
Puccetti, Simonetta, F. Fiore, A. Bongiorno, et al.. (2019). Triggering nuclear and galaxy activity in the Bullet cluster. Astronomy and Astrophysics. 634. A137–A137. 1 indexed citations
5.
Ziegler, B., et al.. (2018). Color gradients reflect an inside-out growth in early-type galaxies of the cluster MACS J1206.2-0847. Astronomy and Astrophysics. 617. A34–A34. 9 indexed citations
6.
Finoguenov, A., M. Verdugo, B. Ziegler, et al.. (2017). Galaxy evolution in merging clusters: The passive core of the “Train Wreck” cluster of galaxies,. Springer Link (Chiba Institute of Technology). 20 indexed citations
7.
Kuchner, Ulrike, B. Ziegler, M. Verdugo, S. P. Bamford, & Boris Häußler. (2017). The effects of the cluster environment on the galaxy mass-size relation in MACS J1206.2-0847. Springer Link (Chiba Institute of Technology). 27 indexed citations
8.
Pavan, L., G. Pühlhofer, P. Bordas, et al.. (2016). Closer view of the IGR J11014-6103 outflows. Springer Link (Chiba Institute of Technology). 29 indexed citations
9.
Maier, C., Ulrike Kuchner, B. Ziegler, et al.. (2016). CLASH-VLT: Strangulation of cluster galaxies in MACS J0416.1-2403 as seen from their chemical enrichment. Springer Link (Chiba Institute of Technology). 17 indexed citations
10.
Zhang, Yuying, et al.. (2016). Probing the dynamical and X-ray mass proxies of the cluster of galaxies Abell S1101. Astronomy and Astrophysics. 597. A24–A24. 2 indexed citations
11.
Ziegler, B., F. Combes, H. Dannerbauer, & M. Verdugo. (2014). Galaxies in 3D across the universe : proceedings of the 309th Symposium of the International Astronomical Union held in Vienna, Austria, July 7-11, 2014. Cambridge University Press eBooks.
12.
Nastasi, A., H. Böhringer, R. Fassbender, et al.. (2014). Kinematic analysis of a sample of X-ray luminous distant galaxy clusters. Astronomy and Astrophysics. 564. A17–A17. 8 indexed citations
13.
Verdugo, M., M. Lerchster, H. Böhringer, et al.. (2012). The Cosmic Web and galaxy evolution around the most luminous X-ray cluster: RX J1347.5−1145. Monthly Notices of the Royal Astronomical Society. 421(3). 1949–1968. 12 indexed citations
14.
Nastasi, A., M. Scodeggio, R. Fassbender, et al.. (2012). F-VIPGI: a new adapted version of VIPGI for FORS2 spectroscopy. Astronomy and Astrophysics. 550. A9–A9. 3 indexed citations
15.
Hoon, A. de, G. Lamer, A. Schwope, et al.. (2012). Distant galaxy clusters in a deepXMM-Newtonfield within the CFTHLS D4. Astronomy and Astrophysics. 551. A8–A8. 5 indexed citations
16.
Zhang, Yuying, M. Verdugo, Matthias Klein, & Petra Schneider. (2012). Probing cluster dynamics in RXC J1504.1-0248 via radial and two-dimensional gas and galaxy properties. Astronomy and Astrophysics. 542. A106–A106. 4 indexed citations
17.
Pierini, D., S. Giodini, A. Finoguenov, et al.. (2011). Two fossil groups of galaxies at z≈ 0.4 in the Cosmic Evolution Survey: accelerated stellar-mass build-up, different progenitors. Monthly Notices of the Royal Astronomical Society. 417(4). 2927–2937. 9 indexed citations
18.
Nastasi, A., R. Fassbender, H. Böhringer, et al.. (2011). Discovery of the X-ray selected galaxy cluster XMMU J0338.8+0021 atz= 1.49. Astronomy and Astrophysics. 532. L6–L6. 11 indexed citations
19.
Peletier, R. F., et al.. (2010). Internal kinematics of spiral galaxies in distant clusters. Astronomy and Astrophysics. 520. A109–A109. 7 indexed citations
20.
Ziegler, B., R. F. Peletier, T. Kronberger, et al.. (2008). Internal kinematics of spiral galaxies in distant clusters. Astronomy and Astrophysics. 488(1). 117–131. 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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