Maxime Rischard
Impact in
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- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Galaxies: Formation, Evolution, Phenomena
- Astrophysical Phenomena and Observations
Papers in
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- Advanced Causal Inference Techniques 2
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- Gamma-ray bursts and supernovae 1
- Stellar, planetary, and galactic studies 1
- Co-authors
- J. S. Bloom (2 shared papers)Nathaniel Butler (2 shared papers)D. Starr (2 shared papers)John M. Brewer (1 shared paper)Arien Crellin-Quick (1 shared paper)Luke W Miratrix (2 shared papers)Luke Bornn (2 shared papers)Peter Nugent (1 shared paper)
- Journals
- Journal of the American Statistical Association (1 paper)Journal of Statistical Software (1 paper)Journal of Statistical Planning and Inference (1 paper)The Astrophysical Journal (1 paper)Astronomische Nachrichten (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Maxime Rischard
5 papers receiving 298 citations
Peers
Comparison fields: 5 of 43
- Instrumentation 31
- Astronomy and Astrophysics 245
- Signal Processing 16
- Statistics and Probability 22
- Computational Mechanics 34
Countries citing papers authored by Maxime Rischard
This map shows the geographic impact of Maxime Rischard'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 Maxime Rischard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Rischard more than expected).
Fields of papers citing papers by Maxime Rischard
This network shows the impact of papers produced by Maxime Rischard. 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 Maxime Rischard. The network helps show where Maxime Rischard may publish in the future.
Co-authors
The 12 scholars most cited alongside Maxime Rischard, 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 | 2011 | 255 | |
| 2 | 2019 | 17 | |
| 3 | 2008 | 16 | |
| 4 | 2022 | 12 | |
| 5 | 2020 | 9 |
About Maxime Rischard
Maxime Rischard is a scholar working on Statistics and Probability, Astronomy and Astrophysics, Economics and Econometrics, Artificial Intelligence and Nuclear Energy and Engineering, having authored 5 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (2 papers), Gaussian Processes and Bayesian Inference (1 paper), Gamma-ray bursts and supernovae (1 paper), Stellar, planetary, and galactic studies (1 paper) and Housing Market and Economics (1 paper). The work is most often cited by research in Instrumentation (31 citations), Astronomy and Astrophysics (245 citations), Signal Processing (16 citations), Statistics and Probability (22 citations) and Computational Mechanics (34 citations). Maxime Rischard has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include J. S. Bloom, Nathaniel Butler, D. Starr, John M. Brewer, Arien Crellin-Quick, Luke W Miratrix, Luke Bornn, Peter Nugent, Johanni Brea and Damian R. Eads. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Software, Journal of Statistical Planning and Inference, The Astrophysical Journal and Astronomische Nachrichten.
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.