Danilo Marchesini
- Instrumentation top 0.2%
- Astronomy and Astrophysical Research 72
- Astronomy and Astrophysics top 0.5%
- Galaxies: Formation, Evolution, Phenomena 85
- Stellar, planetary, and galactic studies 30
- Astrophysics and Star Formation Studies 18
- Gamma-ray bursts and supernovae 18
- Astrophysical Phenomena and Observations 6
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- Adaptive optics and wavefront sensing 6
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- Remote Sensing in Agriculture 5
- Co-authors
- Pieter van DokkumMarijn FranxIvo LabbéAdam MuzzinMariska KriekGabriel BrammerMauro StefanonRyan Quadri
- Journals
- The Astrophysical Journal (52 papers)Monthly Notices of the Royal Astronomical Society (10 papers)Astronomy and Astrophysics (5 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Danilo Marchesini
78 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Instrumentation 3.1k
- Astronomy and Astrophysics 4.3k
- Nuclear and High Energy Physics 408
- Statistical and Nonlinear Physics 181
- Computer Vision and Pattern Recognition 158
Countries citing papers authored by Danilo Marchesini
This map shows the geographic impact of Danilo Marchesini'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 Danilo Marchesini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Marchesini more than expected).
Fields of papers citing papers by Danilo Marchesini
This network shows the impact of papers produced by Danilo Marchesini. 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 Danilo Marchesini. The network helps show where Danilo Marchesini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danilo Marchesini, 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 | 8 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 41 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 57 | |
| 13 | 2019 | 128 | |
| 14 | Near-infrared Spectroscopy of Five Ultra-massive Galaxies at 1.7 < z < 2.7 | 2017 | 5 |
| 15 | 2017 | 11 | |
| 16 | 2017 | 42 | |
| 17 | 2017 | 37 | |
| 18 | 2016 | 23 | |
| 19 | 2016 | 33 | |
| 20 | 2005 | 5 |
About Danilo Marchesini
Danilo Marchesini is a scholar working on Instrumentation, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Nuclear and High Energy Physics and Ecology, having authored 90 papers that have together received 4.3k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (85 papers), Astronomy and Astrophysical Research (72 papers), Stellar, planetary, and galactic studies (30 papers), Astrophysics and Star Formation Studies (18 papers), Gamma-ray bursts and supernovae (18 papers), Adaptive optics and wavefront sensing (6 papers), Astrophysical Phenomena and Observations (6 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Instrumentation (3.1k citations), Astronomy and Astrophysics (4.3k citations), Nuclear and High Energy Physics (408 citations), Statistical and Nonlinear Physics (181 citations) and Computer Vision and Pattern Recognition (158 citations). Danilo Marchesini has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Pieter van Dokkum, Marijn Franx, Ivo Labbé, Adam Muzzin, Mariska Kriek, Gabriel Brammer, Mauro Stefanon, Ryan Quadri, Gregory Rudnick and Rachel Bezanson. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, The Astrophysical Journal Letters and Scientific Reports.
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.