P. Paykari
Impact in
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- Galaxies: Formation, Evolution, Phenomena
- Cosmology and Gravitation Theories
- Radio Astronomy Observations and Technology
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- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
Papers in
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- Radio Astronomy Observations and Technology 5
- Cosmology and Gravitation Theories 3
- Galaxies: Formation, Evolution, Phenomena 2
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- Astrophysics and Cosmic Phenomena 3
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- Jean‐Luc Starck (5 shared papers)J. Bobin (4 shared papers)F. Sureau (4 shared papers)A. Rassat (4 shared papers)Andrew H. Jaffe (1 shared paper)S. Basak (1 shared paper)M.J. Fadili (1 shared paper)
- Journals
- Astronomy and Astrophysics (4 papers)Monthly Notices of the Royal Astronomical Society (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- FranceUnited KingdomSwitzerland
In The Last Decade
P. Paykari
6 papers receiving 67 citations
Peers
Comparison fields: 5 of 23
- Astronomy and Astrophysics 44
- Nuclear and High Energy Physics 26
- Signal Processing 11
- Computer Vision and Pattern Recognition 13
- Computational Mechanics 13
Countries citing papers authored by P. Paykari
This map shows the geographic impact of P. Paykari'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 P. Paykari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Paykari more than expected).
Fields of papers citing papers by P. Paykari
This network shows the impact of papers produced by P. Paykari. 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 P. Paykari. The network helps show where P. Paykari may publish in the future.
Co-authors
The 7 scholars most cited alongside P. Paykari, 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 | 2014 | 44 | |
| 2 | 2013 | 9 | |
| 3 | 2013 | 7 | |
| 4 | 2014 | 4 | |
| 5 | 2012 | 2 | |
| 6 | Planck CMB Anomalies: Astrophysical and Cosmological Foregrounds and the Curse of Masking | 2014 | 1 |
| 7 | Sparsely Sampling the Sky: Regular vs Random Sampling | 2016 | 0 |
About P. Paykari
P. Paykari is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Artificial Intelligence, Molecular Biology and Management Science and Operations Research, having authored 7 papers that have together received 67 indexed citations. Recurring topics across this work include Radio Astronomy Observations and Technology (5 papers), Cosmology and Gravitation Theories (3 papers), Astrophysics and Cosmic Phenomena (3 papers), Galaxies: Formation, Evolution, Phenomena (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Statistical Methods and Inference (1 paper) and Fractal and DNA sequence analysis (1 paper). The work is most often cited by research in Astronomy and Astrophysics (44 citations), Nuclear and High Energy Physics (26 citations), Signal Processing (11 citations), Computer Vision and Pattern Recognition (13 citations) and Computational Mechanics (13 citations). P. Paykari has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Jean‐Luc Starck, J. Bobin, F. Sureau, A. Rassat, Andrew H. Jaffe, S. Basak and M.J. Fadili. Their work appears in journals such as Astronomy and Astrophysics, Monthly Notices of the Royal Astronomical Society and arXiv (Cornell University).
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.