M. C. Edwards
Impact in
- Astronomy and Astrophysics top 10%
- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Cosmology and Gravitation Theories
- Radio Astronomy Observations and Technology
-
- Geophysics and Gravity Measurements
Papers in
-
- Pulsars and Gravitational Waves Research 7
- Cosmology and Gravitation Theories 3
- Gamma-ray bursts and supernovae 3
- Radio Astronomy Observations and Technology 1
- Co-authors
- Renate MeyerN. ChristensenJ. R. GairClaudia KirchAlexander MeierJoan SimónEvan C. ZauggNatalia Korsakova
- Journals
- Physical review. D (6 papers)Bayesian Analysis (1 paper)Statistics and Computing (1 paper)Inverse Problems (1 paper)Neurochemistry International (1 paper)
- Partner nations
- New ZealandUnited StatesGermany
In The Last Decade
M. C. Edwards
13 papers receiving 159 citations
Peers
Comparison fields: 5 of 44
- Astronomy and Astrophysics 98
- Oceanography 24
- Statistics and Probability 15
- Geophysics 23
- Artificial Intelligence 42
Countries citing papers authored by M. C. Edwards
This map shows the geographic impact of M. C. Edwards'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. C. Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Edwards more than expected).
Fields of papers citing papers by M. C. Edwards
This network shows the impact of papers produced by M. C. Edwards. 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. C. Edwards. The network helps show where M. C. Edwards may publish in the future.
Co-authorship network
The 16 scholars most cited alongside M. C. Edwards, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 21 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 27 | |
| 9 | 2015 | 22 | |
| 10 | 2014 | 18 | |
| 11 | 2013 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2011 | 2 | |
| 14 | EXPERIMENTAL ROAD CROSSING FEATURES FOR VISUALLY IMPAIRED PEDESTRIANS | 1995 | 1 |
About M. C. Edwards
M. C. Edwards is a scholar working on Astronomy and Astrophysics, Statistical and Nonlinear Physics, Artificial Intelligence, Safety, Risk, Reliability and Quality and Cognitive Neuroscience, having authored 14 papers that have together received 167 indexed citations. Recurring topics across this work include Pulsars and Gravitational Waves Research (7 papers), Cosmology and Gravitation Theories (3 papers), Gamma-ray bursts and supernovae (3 papers), Gaussian Processes and Bayesian Inference (2 papers), Bayesian Methods and Mixture Models (2 papers), Advanced SAR Imaging Techniques (2 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers) and Radio Astronomy Observations and Technology (1 paper). The work is most often cited by research in Astronomy and Astrophysics (98 citations), Oceanography (24 citations), Statistics and Probability (15 citations), Geophysics (23 citations) and Artificial Intelligence (42 citations). M. C. Edwards has collaborated with scholars based in New Zealand, United States and Germany. Frequent co-authors include Renate Meyer, N. Christensen, J. R. Gair, Claudia Kirch, Alexander Meier, Joan Simón, Evan C. Zaugg, Natalia Korsakova, Bing Xue and Ming‐Lei Guo. Their work appears in journals such as Physical review. D, Bayesian Analysis, Statistics and Computing, Inverse Problems and Neurochemistry International.
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.