Michael S. Shaw

641 citations
3 papers · 60 · h-index 3

Impact in

    • Astrophysics and Cosmic Phenomena
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Radio Astronomy Observations and Technology
    • Gamma-ray bursts and supernovae
    • Pulsars and Gravitational Waves Research
    • Astrophysical Phenomena and Observations
    • Galaxies: Formation, Evolution, Phenomena

Papers in

    • Astrophysics and Cosmic Phenomena 3
    • Particle physics theoretical and experimental studies 1
    • Galaxies: Formation, Evolution, Phenomena 1
    • Pulsars and Gravitational Waves Research 1
    • Gamma-ray bursts and supernovae 1
    • Radio Astronomy Observations and Technology 1

Michael S. Shaw

3 papers receiving 56 citations

Peers

Michael S. Shaw
Comparison fields: 5 of 5
  • Nuclear and High Energy Physics 53
  • Astronomy and Astrophysics 55
  • Oceanography 1
  • Geophysics 1
  • Aerospace Engineering 1
Replace L. Escande with:
L. Escande France
B. Giebels France
N. Mankuzhiyil Italy
E. Striani Italy
B. Behera Germany
S. Gabici Germany
Vasyl Beshley Ukraine
Ł. Stawarz Italy
V. Kadenius Finland
W. Idec Poland
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Citations per field
00.5×
L. Escande · 1×
Citations per year

Countries citing papers authored by Michael S. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Shaw. 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 Michael S. Shaw. The network helps show where Michael S. Shaw may publish in the future.

Co-authors

The 8 scholars most cited alongside Michael S. Shaw, 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 Michael S. Shaw Line = papers co-authored together Michael S. Shaw links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 201323
2 201021
3 201316

About Michael S. Shaw

Michael S. Shaw is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 60 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (3 papers), Computational Physics and Python Applications (1 paper), Particle physics theoretical and experimental studies (1 paper), Galaxies: Formation, Evolution, Phenomena (1 paper), Pulsars and Gravitational Waves Research (1 paper), Gamma-ray bursts and supernovae (1 paper) and Radio Astronomy Observations and Technology (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (53 citations), Astronomy and Astrophysics (55 citations), Oceanography (1 citation), Geophysics (1 citation) and Aerospace Engineering (1 citation). Michael S. Shaw has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Roger W. Romani, A. V. Filippenko, Weidong Li, S. B. Cenko, F. Camilo, Garret Cotter, G. R. Sivakoff and M. Ajello. Their work appears in journals such as The Astrophysical Journal, The Astronomical Journal and Max Planck Digital Library.

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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