M. Ata

44.9k citations
18 papers · 261 · h-index 11

Impact in

    • Astronomy and Astrophysical Research
    • Galaxies: Formation, Evolution, Phenomena
    • Cosmology and Gravitation Theories
    • Gamma-ray bursts and supernovae
    • Pulsars and Gravitational Waves Research
    • Astrophysical Phenomena and Observations
    • Radio Astronomy Observations and Technology

Papers in

M. Ata

18 papers receiving 200 citations

Peers

M. Ata
Comparison fields: 5 of 29
  • Instrumentation 69
  • Astronomy and Astrophysics 233
  • Nuclear and High Energy Physics 63
  • Statistical and Nonlinear Physics 25
  • Statistics and Probability 8
Replace S. Grandis with:
S. Grandis Germany
Julian Bautista United States
Henrique S. Xavier Brazil
L Blot Spain
Cristiano G. Sabiu South Korea
B Joachimi United Kingdom
A. Balaguera-Antolínez Spain
S. Escoffier France
Shankar Agarwal South Africa
S. T. Balan United Kingdom
M. Ata relative to S. Grandis Germany S. Grandis's profile →
Citations per field
00.5×1.5×2.1×
S. Grandis · 1×
Citations per year

Countries citing papers authored by M. Ata

Since Specialization
Citations

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

Fields of papers citing papers by M. Ata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Ata, 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. Ata Line = papers co-authored together M. Ata links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202035
2 201434
3 202233
4 202325
5 202023
6 202219
7 202218
8 202415
9 202312
10 202211
11 202310
12 20169
13 20216
14 20236
15 20242
16 20241
17 20251
18 19861

About M. Ata

M. Ata is a scholar working on Astronomy and Astrophysics, Instrumentation, Statistical and Nonlinear Physics, Artificial Intelligence and Nuclear and High Energy Physics, having authored 18 papers that have together received 261 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (13 papers), Astronomy and Astrophysical Research (6 papers), Cosmology and Gravitation Theories (5 papers), Gamma-ray bursts and supernovae (5 papers), Gaussian Processes and Bayesian Inference (3 papers), Scientific Research and Discoveries (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper) and Innovation Diffusion and Forecasting (1 paper). The work is most often cited by research in Instrumentation (69 citations), Astronomy and Astrophysics (233 citations), Nuclear and High Energy Physics (63 citations), Statistical and Nonlinear Physics (25 citations) and Statistics and Probability (8 citations). M. Ata has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Francisco-Shu Kitaura, Khee‐Gan Lee, V. Müller, J. X. Prochaska, Jeff Cooke, Jielai Zhang, Gustavo Yepes, Sergio Rodríguez-Torres, A. Balaguera-Antolínez and B. C. Lemaux. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal, The Astrophysical Journal Letters, Nature Astronomy 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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