M. Aguena

8.0k citations
6 papers · 85 · h-index 4

Impact in

    • Astronomy and Astrophysical Research
    • Galaxies: Formation, Evolution, Phenomena
    • Gamma-ray bursts and supernovae
    • Cosmology and Gravitation Theories
    • Stellar, planetary, and galactic studies
    • Astrophysical Phenomena and Observations

Papers in

    • Galaxies: Formation, Evolution, Phenomena 4
    • Gamma-ray bursts and supernovae 3
    • Cosmology and Gravitation Theories 1
    • Astrophysical Phenomena and Observations 1
    • Astronomy and Astrophysical Research 3

M. Aguena

6 papers receiving 79 citations

Peers

M. Aguena
Comparison fields: 5 of 21
  • Instrumentation 36
  • Astronomy and Astrophysics 80
  • Nuclear and High Energy Physics 16
  • Biophysics 4
  • Statistical and Nonlinear Physics 5
Replace T. Shin with:
T. Shin United States
Elizabeth Johana Gonzalez Argentina
Sarah Bridle United Kingdom
H. R. Parkinson United Kingdom
Jacqueline McCleary United States
Arnau Pujol Spain
Hélion du Mas des Bourboux United States
H. Camacho Brazil
Irene Pintos-Castro Spain
K. Flint United States
M. Aguena relative to T. Shin United States T. Shin's profile →
Citations per field
00.5×1.5×2.2×
T. Shin · 1×
Citations per year

Countries citing papers authored by M. Aguena

Since Specialization
Citations

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

Fields of papers citing papers by M. Aguena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Aguena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Aguena Line = papers co-authored together M. Aguena links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201835
2 201620
3 201718
4 20187
5 20233
6 20162

About M. Aguena

M. Aguena is a scholar working on Astronomy and Astrophysics, Instrumentation, Epidemiology, Artificial Intelligence and Biophysics, having authored 6 papers that have together received 85 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (4 papers), Astronomy and Astrophysical Research (3 papers), Gamma-ray bursts and supernovae (3 papers), Influenza Virus Research Studies (1 paper), Cosmology and Gravitation Theories (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Advanced Statistical Methods and Models (1 paper) and Astrophysical Phenomena and Observations (1 paper). The work is most often cited by research in Instrumentation (36 citations), Astronomy and Astrophysics (80 citations), Nuclear and High Energy Physics (16 citations), Biophysics (4 citations) and Statistical and Nonlinear Physics (5 citations). M. Aguena has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include M. Lima, F. Lacasa, Y. Zhang, Risa H. Wechsler, H. Camacho, Joseph DeRose, J. Weller, Michele Sasdelli, D. Gruen and Émille E. O. Ishida. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, Physical review. D and Proceedings of the International Astronomical Union.

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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