M. Cabero

62.0k citations
14 papers · 824 indexed · 2 hit papers · h-index 11
Topics
Pulsars and Gravitational Waves Research (14 papers)Astrophysical Phenomena and Observations (10 papers)Gamma-ray bursts and supernovae (8 papers)

In The Last Decade

M. Cabero

14 papers receiving 790 citations

Hit Papers

PyCBC Inference: A Python-based Parameter Estimation Tool...20192026202120232019202150100150

Peers

M. Cabero
Comparison fields: 5 of 54
  • Astronomy and Astrophysics 752
  • Nuclear and High Energy Physics 203
  • Geophysics 158
  • Oceanography 81
  • Artificial Intelligence 60
Replace Scott Coughlin with:
Scott Coughlin United States
T. Dal Canton United States
P. Kumar United States
Tejaswi Venumadhav United States
Kaze W. K. Wong United States
A. Ramos-Buades Germany
Nils Dorband Germany
Daniel A. Hemberger United States
Suvodip Mukherjee India
S. P. Stevenson Australia
M. Cabero relative to Scott Coughlin United States Scott Coughlin's profile →
Citations per field
00.5×5.1×
Scott Coughlin · 1×
Citations per year

Countries citing papers authored by M. Cabero

Since Specialization
Citations

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

Fields of papers citing papers by M. Cabero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 12
3 49
4 5
5 13
6 8
7
3-OGC: Catalog of Gravitational Waves from Compact-binary Mergersbreakdown →
136
8 28
9 56
10
PyCBC Inference: A Python-based Parameter Estimation Toolkit for Compact Binary Coalescence Signalsbreakdown →
183
11 46
12 82
13 185
14 19

About M. Cabero

M. Cabero is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Geophysics, having authored 14 papers that have together received 824 indexed citations. Recurring topics across this work include Pulsars and Gravitational Waves Research (14 papers), Astrophysical Phenomena and Observations (10 papers) and Gamma-ray bursts and supernovae (8 papers). The work is most often cited by research in Astronomy and Astrophysics (752 citations), Nuclear and High Energy Physics (203 citations) and Geophysics (158 citations). M. Cabero has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include C. D. Capano, A. Nitz, B. Krishnan, A. B. Nielsen, D. Brown, J. Westerweck, V. Raymond, S. Kumar, D. DeBra and Shilpa Kastha. Their work appears in journals such as Physical Review Letters, The Astrophysical Journal and Physical review. D.

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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