M. Dal Ponte

440 total citations
3 papers, 132 citations indexed

About

M. Dal Ponte is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, M. Dal Ponte has authored 3 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Astronomy and Astrophysics, 2 papers in Instrumentation and 1 paper in Nuclear and High Energy Physics. Recurrent topics in M. Dal Ponte's work include Stellar, planetary, and galactic studies (3 papers), Astronomy and Astrophysical Research (2 papers) and Gamma-ray bursts and supernovae (2 papers). M. Dal Ponte is often cited by papers focused on Stellar, planetary, and galactic studies (3 papers), Astronomy and Astrophysical Research (2 papers) and Gamma-ray bursts and supernovae (2 papers). M. Dal Ponte collaborates with scholars based in Spain, Germany and United States. M. Dal Ponte's co-authors include A. B. A. Queiroz, C. Chiappini, F. Anders, Matthias Steinmetz, Alexandre Roman–Lopes, M. A. G. Maia, O. Zamora, B. X. Santiago, Keivan G. Stassun and Timothy C. Beers and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

M. Dal Ponte

2 papers receiving 115 citations

Peers

M. Dal Ponte
O. Ivanyuk Ukraine
P. W. Burgess United Kingdom
E. K. Grebel United Kingdom
Connor Hayden-Pawson United Kingdom
P. Osborne United Kingdom
S. Lalitha United Kingdom
B. Akinsanmi Portugal
M. Dal Ponte
Citations per year, relative to M. Dal Ponte M. Dal Ponte (= 1×) peers M. A. G. Maia

Countries citing papers authored by M. Dal Ponte

Since Specialization
Citations

This map shows the geographic impact of M. Dal Ponte'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. Dal Ponte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dal Ponte more than expected).

Fields of papers citing papers by M. Dal Ponte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Dal Ponte. 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. Dal Ponte. The network helps show where M. Dal Ponte may publish in the future.

Co-authorship network of co-authors of M. Dal Ponte

This figure shows the co-authorship network connecting the top 25 collaborators of M. Dal Ponte. A scholar is included among the top collaborators of M. Dal Ponte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Dal Ponte. M. Dal Ponte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Ponte, M. Dal, A. Bragaglia, Andrew R. Casey, et al.. (2025). Stellar Population Astrophysics (SPA) with the TNG. Astronomy and Astrophysics. 701. A289–A289.
2.
Khalatyan, A., F. Anders, C. Chiappini, et al.. (2024). Transferring spectroscopic stellar labels to 217 million Gaia DR3 XP stars with SHBoost. Astronomy and Astrophysics. 691. A98–A98. 10 indexed citations
3.
Queiroz, A. B. A., F. Anders, B. X. Santiago, et al.. (2018). StarHorse: a Bayesian tool for determining stellar masses, ages, distances, and extinctions for field stars. Monthly Notices of the Royal Astronomical Society. 476(2). 2556–2583. 122 indexed citations

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.

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