M. March
Impact in
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
- Cosmology and Gravitation Theories
- Gamma-ray bursts and supernovae
- Stellar, planetary, and galactic studies
-
- Astronomy and Astrophysical Research
Papers in
-
- Galaxies: Formation, Evolution, Phenomena 4
- Cosmology and Gravitation Theories 4
- Gamma-ray bursts and supernovae 4
- Radio Astronomy Observations and Technology 1
-
- Gaussian Processes and Bayesian Inference 2
- Co-authors
- R. Armstrong (1 shared paper)G. M. Bernstein (1 shared paper)Roberto Trotta (2 shared papers)C. Krawiec (1 shared paper)Dragan Huterer (1 shared paper)Luca Amendola (1 shared paper)N. V. Karpenka (2 shared papers)F. Feroz (2 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (5 papers)Springer theses (1 paper)Apollo (University of Cambridge) (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
M. March
6 papers receiving 104 citations
Peers
Comparison fields: 5 of 25
- Astronomy and Astrophysics 94
- Instrumentation 13
- Nuclear and High Energy Physics 34
- Atomic and Molecular Physics, and Optics 21
- Statistics and Probability 5
Countries citing papers authored by M. March
This map shows the geographic impact of M. March'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. March with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. March more than expected).
Fields of papers citing papers by M. March
This network shows the impact of papers produced by M. March. 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. March. The network helps show where M. March may publish in the future.
Co-authors
The 25 scholars most cited alongside M. March, 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 | 2016 | 37 | |
| 2 | 2011 | 26 | |
| 3 | 2016 | 16 | |
| 4 | 2013 | 11 | |
| 5 | 2010 | 10 | |
| 6 | 2013 | 5 | |
| 7 | 2013 | 0 |
About M. March
M. March is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Finance, having authored 7 papers that have together received 105 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (4 papers), Cosmology and Gravitation Theories (4 papers), Gamma-ray bursts and supernovae (4 papers), Gaussian Processes and Bayesian Inference (2 papers), Probability and Statistical Research (1 paper), Radio Astronomy Observations and Technology (1 paper), Scientific Research and Discoveries (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Astronomy and Astrophysics (94 citations), Instrumentation (13 citations), Nuclear and High Energy Physics (34 citations), Atomic and Molecular Physics, and Optics (21 citations) and Statistics and Probability (5 citations). M. March has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include R. Armstrong, G. M. Bernstein, Roberto Trotta, C. Krawiec, Dragan Huterer, Luca Amendola, N. V. Karpenka, F. Feroz, Glenn D. Starkman and M. P. Hobson. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Springer theses and Apollo (University of Cambridge).
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.