Nicola Malavasi

1.3k total citations
25 papers, 332 citations indexed

About

Nicola Malavasi is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Nicola Malavasi has authored 25 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Astronomy and Astrophysics, 16 papers in Instrumentation and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Nicola Malavasi's work include Galaxies: Formation, Evolution, Phenomena (23 papers), Astronomy and Astrophysical Research (16 papers) and Astrophysics and Cosmic Phenomena (8 papers). Nicola Malavasi is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (23 papers), Astronomy and Astrophysical Research (16 papers) and Astrophysics and Cosmic Phenomena (8 papers). Nicola Malavasi collaborates with scholars based in France, United States and Germany. Nicola Malavasi's co-authors include O. Ilbert, S. Arnouts, Julien Devriendt, Yohan Dubois, H. J. McCracken, Adrianne Slyz, D. Vibert, L. Pozzetti, D. Le Borgne and A. Benoit-Lévy and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Nicola Malavasi

24 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicola Malavasi France 12 317 155 84 23 19 25 332
Joanna M. Piotrowska United Kingdom 10 364 1.1× 188 1.2× 42 0.5× 17 0.7× 15 0.8× 20 414
M. Siudek Poland 11 320 1.0× 186 1.2× 47 0.6× 19 0.8× 10 0.5× 43 344
Ed Elson South Africa 11 342 1.1× 110 0.7× 65 0.8× 12 0.5× 15 0.8× 23 365
S.-L. Blyth South Africa 12 337 1.1× 156 1.0× 60 0.7× 12 0.5× 16 0.8× 32 374
Evan Tucker United States 2 390 1.2× 171 1.1× 59 0.7× 19 0.8× 17 0.9× 3 402
Shihong Liao China 15 520 1.6× 237 1.5× 140 1.7× 26 1.1× 16 0.8× 37 565
S. D. M. White Germany 3 361 1.1× 156 1.0× 94 1.1× 33 1.4× 11 0.6× 3 369
John R. Weaver Denmark 15 460 1.5× 261 1.7× 43 0.5× 13 0.6× 14 0.7× 36 491
Duncan Austin United Kingdom 11 417 1.3× 241 1.6× 55 0.7× 17 0.7× 9 0.5× 17 451
H. Lietzen Estonia 14 426 1.3× 221 1.4× 106 1.3× 21 0.9× 13 0.7× 26 439

Countries citing papers authored by Nicola Malavasi

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Malavasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Malavasi

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Malavasi. A scholar is included among the top collaborators of Nicola Malavasi 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 Nicola Malavasi. Nicola Malavasi 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.
Popesso, Paola, G. Lamer, Klaus Dolag, et al.. (2025). Detecting galaxy groups populating the local Universe in the eROSITA era (Corrigendum). Astronomy and Astrophysics. 695. C1–C1. 1 indexed citations
2.
Dolag, K., et al.. (2025). The impact of assembly history on the X-ray detectability of halos. Astronomy and Astrophysics. 698. A191–A191. 1 indexed citations
3.
Dolag, K., Matías Bravo, A. S. G. Robotham, et al.. (2025). Detecting clusters and groups of galaxies populating the local Universe in large optical spectroscopic surveys. Astronomy and Astrophysics. 694. A207–A207. 4 indexed citations
4.
Comparat, Johan, A. Merloni, G. Ponti, et al.. (2025). Cross-correlation between soft X-rays and galaxies. Astronomy and Astrophysics. 697. A173–A173. 1 indexed citations
5.
Bülbül, Esra, Xiaoyuan Zhang, Matthias Kluge, et al.. (2024). The galaxy group merger origin of the Cloverleaf odd radio circle system. Astronomy and Astrophysics. 685. L2–L2. 2 indexed citations
6.
Popesso, Paola, G. Lamer, Klaus Dolag, et al.. (2024). Detecting galaxy groups populating the local Universe in the eROSITA era. Astronomy and Astrophysics. 689. A7–A7. 13 indexed citations
7.
Malavasi, Nicola, et al.. (2024). Nature versus Nurture: Revisiting the Environmental Impact on Star Formation Activities of Galaxies. The Astrophysical Journal. 961(1). 39–39. 9 indexed citations
8.
Liu, Ang, Esra Bülbül, T. Shin, et al.. (2024). The SRG/eROSITA All-Sky Survey: Exploring halo assembly bias with X-ray-selected superclusters. Astronomy and Astrophysics. 688. A186–A186. 2 indexed citations
9.
Sorce, Jenny G., et al.. (2024). Distortions of the Hubble diagram: Line-of-sight signatures of local galaxy clusters. Astronomy and Astrophysics. 687. A85–A85. 6 indexed citations
10.
Popesso, P., A. Biviano, Esra Bülbül, et al.. (2023). The X-ray invisible Universe. A look into the haloes undetected by eROSITA. Monthly Notices of the Royal Astronomical Society. 527(1). 895–910. 15 indexed citations
11.
Malavasi, Nicola, Jenny G. Sorce, Klaus Dolag, & Nabila Aghanim. (2023). The cosmic web around the Coma cluster from constrained cosmological simulations. Astronomy and Astrophysics. 675. A76–A76. 12 indexed citations
12.
Lee, Kyoung-Soo, O. Cucciati, B. C. Lemaux, et al.. (2022). Evaluating Lyα Emission as a Tracer of the Largest Cosmic Structure at z ∼ 2.47. The Astrophysical Journal. 941(2). 134–134. 11 indexed citations
13.
Douspis, M., et al.. (2022). X-ray emission from cosmic web filaments in SRG/eROSITA data. Astronomy and Astrophysics. 667. A161–A161. 16 indexed citations
14.
Malavasi, Nicola, et al.. (2021). Lyα Line Properties at z = 3.78 and Their Environmental Dependence: A Case Study around a Massive Protocluster. The Astrophysical Journal. 921(2). 103–103. 5 indexed citations
15.
Tanimura, H., et al.. (2020). First detection of stacked X-ray emission from cosmic web filaments. Springer Link (Chiba Institute of Technology). 11 indexed citations
16.
Lee, Kyoung-Soo, Arjun Dey, Nicola Malavasi, et al.. (2019). A Census of Galaxy Constituents in a Coma Progenitor Observed at z > 3. eScholarship (California Digital Library). 13 indexed citations
17.
Laigle, C., Christophe Pichon, S. Arnouts, et al.. (2017). COSMOS2015 photometric redshifts probe the impact of filaments on galaxy properties. Monthly Notices of the Royal Astronomical Society. 474(4). 5437–5458. 108 indexed citations
18.
Malavasi, Nicola, L. Pozzetti, O. Cucciati, S. Bardelli, & A. Cimatti. (2015). Reconstructing the galaxy density field with photometric redshifts. Astronomy and Astrophysics. 585. A116–A116. 15 indexed citations
19.
Malavasi, Nicola, S. Bardelli, P. Ciliegi, et al.. (2015). The environment of radio sources in the VLA-COSMOS survey field. Astronomy and Astrophysics. 576. A101–A101. 18 indexed citations
20.
Focardi, P. & Nicola Malavasi. (2012). THE EFFECT OF THE ENVIRONMENT ON THE FABER-JACKSON RELATION. The Astrophysical Journal. 756(2). 117–117. 11 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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