Marco Baldi

9.6k total citations
109 papers, 3.5k citations indexed

About

Marco Baldi is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Marco Baldi has authored 109 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Astronomy and Astrophysics, 53 papers in Nuclear and High Energy Physics and 13 papers in Instrumentation. Recurrent topics in Marco Baldi's work include Cosmology and Gravitation Theories (74 papers), Galaxies: Formation, Evolution, Phenomena (69 papers) and Dark Matter and Cosmic Phenomena (35 papers). Marco Baldi is often cited by papers focused on Cosmology and Gravitation Theories (74 papers), Galaxies: Formation, Evolution, Phenomena (69 papers) and Dark Matter and Cosmic Phenomena (35 papers). Marco Baldi collaborates with scholars based in Italy, Germany and France. Marco Baldi's co-authors include Guido Busca, Elisabetta Finocchio, Fabio Milella, L. Moscardini, Volker Springel, C. Giocoli, Ewald Puchwein, F. Marulli, J. M. Gallardo‐Amores and V. Pettorino and has published in prestigious journals such as The Astrophysical Journal, Applied Catalysis B: Environmental and Journal of Materials Chemistry.

In The Last Decade

Marco Baldi

108 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Baldi Italy 34 2.3k 1.4k 897 607 388 109 3.5k
Tomoaki Matsumoto Japan 32 2.1k 0.9× 80 0.1× 369 0.4× 345 0.6× 44 0.1× 101 2.8k
Guoliang Li China 20 241 0.1× 78 0.1× 386 0.4× 303 0.5× 60 0.2× 106 1.4k
M. Weber Germany 28 1.2k 0.5× 148 0.1× 113 0.1× 38 0.1× 370 1.0× 122 2.2k
Shaohua Zhang China 17 535 0.2× 152 0.1× 127 0.1× 162 0.3× 66 0.2× 92 1.1k
Yong Liu China 22 487 0.2× 1.0k 0.7× 546 0.6× 85 0.1× 5 0.0× 196 2.0k
J. Horáček Czechia 31 831 0.4× 1.7k 1.3× 1.2k 1.3× 161 0.3× 124 3.1k
H.-S. Bosch Germany 32 337 0.1× 1.8k 1.3× 2.3k 2.5× 929 1.5× 186 4.0k
J. Richard Elliott United States 25 290 0.1× 28 0.0× 516 0.6× 193 0.3× 6 0.0× 117 2.4k
Karen J. Olsen Denmark 11 219 0.1× 112 0.1× 246 0.3× 16 0.0× 29 0.1× 25 1.6k

Countries citing papers authored by Marco Baldi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Baldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Baldi. 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 Marco Baldi. The network helps show where Marco Baldi may publish in the future.

Co-authorship network of co-authors of Marco Baldi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Baldi. A scholar is included among the top collaborators of Marco Baldi 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 Marco Baldi. Marco Baldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Macciò, Andrea V., et al.. (2024). No Catch-22 for fuzzy dark matter: testing substructure counts and core sizes via high-resolution cosmological simulations. Monthly Notices of the Royal Astronomical Society. 532(4). 4050–4059. 4 indexed citations
2.
Baldi, Marco. (2023). The CIDER simulations: non-linear structure formation in the constrained interacting dark energy scenario. Monthly Notices of the Royal Astronomical Society. 521(1). 613–629. 5 indexed citations
3.
4.
Contarini, S., Alice Pisani, Nico Hamaus, et al.. (2023). The perspective of voids on rising cosmology tensions. Astronomy and Astrophysics. 682. A20–A20. 13 indexed citations
5.
Contarini, S., Alice Pisani, Nico Hamaus, et al.. (2023). Cosmological Constraints from the BOSS DR12 Void Size Function. The Astrophysical Journal. 953(1). 46–46. 26 indexed citations
6.
Abbà, Alessandro, et al.. (2023). Investigation of the Main Parameters Influencing the Kinetics of an Ammonia Stripping Plant Treating Swine Digestate. Sustainability. 15(13). 10494–10494. 1 indexed citations
7.
Collivignarelli, Maria Cristina, Roberta Pedrazzani, Marco Carnevale Miino, et al.. (2022). Numerical Analysis of a Full-Scale Thermophilic Biological System and Investigation of Nitrate and Ammonia Fates. Applied Sciences. 12(14). 6952–6952. 4 indexed citations
8.
Diaferio, Antonaldo, A. L. Serra, Margaret J. Geller, et al.. (2021). Mass accretion rates of clusters of galaxies: CIRS and HeCS. Springer Link (Chiba Institute of Technology). 12 indexed citations
9.
Bose, Benjamin, Bill S. Wright, Matteo Cataneo, et al.. (2021). On the road to per cent accuracy – V. The non-linear power spectrum beyond ΛCDM with massive neutrinos and baryonic feedback. Monthly Notices of the Royal Astronomical Society. 508(2). 2479–2491. 28 indexed citations
10.
Collivignarelli, Maria Cristina, Alessandro Abbà, Francesca Maria Caccamo, et al.. (2021). Can particulate matter be identified as the primary cause of the rapid spread of CoViD-19 in some areas of Northern Italy?. Environmental Science and Pollution Research. 28(25). 33120–33132. 19 indexed citations
11.
Contarini, S., F. Marulli, L. Moscardini, et al.. (2021). Cosmic voids in modified gravity models with massive neutrinos. Monthly Notices of the Royal Astronomical Society. 504(4). 5021–5038. 48 indexed citations
12.
Pozzetti, L., et al.. (2020). The stellar-to-halo mass relation over the past 12 Gyr. Springer Link (Chiba Institute of Technology). 99 indexed citations
13.
Collivignarelli, Maria Cristina, Alessandro Abbà, Marco Baldi, et al.. (2020). Analysis of lockdown for CoViD-19 impact on NO2 in London, Milan and Paris: What lesson can be learnt?. Process Safety and Environmental Protection. 146. 952–960. 36 indexed citations
14.
Hagstotz, Steffen, Max Grönke, David F. Mota, & Marco Baldi. (2019). Breaking cosmic degeneracies: Disentangling neutrinos and modified gravity with kinematic information. Springer Link (Chiba Institute of Technology). 10 indexed citations
15.
Diaferio, Antonaldo, et al.. (2018). Blooming Trees: Substructures and Surrounding Groups of Galaxy Clusters. The Astrophysical Journal. 860(2). 118–118. 8 indexed citations
16.
Pollina, G, Nico Hamaus, Klaus Dolag, et al.. (2017). On the linearity of tracer bias around voids. Monthly Notices of the Royal Astronomical Society. 469(1). 787–799. 44 indexed citations
17.
Winther, Hans A., Fabian Schmidt, Alexandre Barreira, et al.. (2015). Modified gravityN-body code comparison project. Monthly Notices of the Royal Astronomical Society. 454(4). 4208–4234. 93 indexed citations
18.
Baldi, Marco, Francisco Villaescusa-Navarro, Matteo Viel, et al.. (2014). Cosmic degeneracies – I. Joint N-body simulations of modified gravity and massive neutrinos. Monthly Notices of the Royal Astronomical Society. 440(1). 75–88. 90 indexed citations
19.
Baldi, Marco, V. Pettorino, Georg Robbers, & Volker Springel. (2008). N-body simulations of coupled dark energy cosmologies. arXiv (Cornell University). 4 indexed citations
20.
Baldi, Marco, F. Finelli⋆, & S. Matarrese. (2005). Super Inflation. arXiv (Cornell University). 2 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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