M. Famiano

4.0k total citations · 1 hit paper
69 papers, 1.5k citations indexed

About

M. Famiano is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiation. According to data from OpenAlex, M. Famiano has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Nuclear and High Energy Physics, 26 papers in Astronomy and Astrophysics and 20 papers in Radiation. Recurrent topics in M. Famiano's work include Nuclear physics research studies (42 papers), Nuclear Physics and Applications (18 papers) and Gamma-ray bursts and supernovae (15 papers). M. Famiano is often cited by papers focused on Nuclear physics research studies (42 papers), Nuclear Physics and Applications (18 papers) and Gamma-ray bursts and supernovae (15 papers). M. Famiano collaborates with scholars based in United States, Japan and China. M. Famiano's co-authors include W. G. Lynch, M. B. Tsang, Yingxun Zhang, Zhuxia Li, Paweł Danielewicz, Andrew W. Steiner, A. M. Rogers, M. Mocko, G. Verde and Toshitaka Kajino and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

M. Famiano

66 papers receiving 1.4k citations

Hit Papers

Constraints on the Density Dependence of the Symmetry Energy 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Famiano United States 18 1.2k 399 311 279 236 69 1.5k
Alexander Sakharuk United States 11 646 0.5× 483 1.2× 246 0.8× 122 0.4× 52 0.2× 20 990
S. Goriely Belgium 17 1.0k 0.9× 573 1.4× 204 0.7× 372 1.3× 269 1.1× 46 1.4k
A. M. Amthor United States 12 781 0.6× 534 1.3× 177 0.6× 275 1.0× 152 0.6× 20 1.2k
Matthew R. Mumpower United States 24 1.2k 1.0× 740 1.9× 159 0.5× 380 1.4× 302 1.3× 80 1.7k
J. José Spain 25 1.1k 0.9× 1.5k 3.7× 348 1.1× 271 1.0× 61 0.3× 121 2.1k
C. Iliadis United States 25 1.7k 1.4× 874 2.2× 553 1.8× 486 1.7× 176 0.7× 105 2.1k
Toshitaka Kajino Japan 22 1.2k 1.0× 627 1.6× 213 0.7× 154 0.6× 87 0.4× 95 1.4k
I. V. Panov Russia 17 1.2k 1.0× 1.3k 3.3× 129 0.4× 152 0.5× 183 0.8× 75 1.9k
Z. Kohley United States 21 1.5k 1.2× 315 0.8× 500 1.6× 356 1.3× 275 1.2× 77 1.7k
M. Samyn Canada 11 1.3k 1.0× 261 0.7× 388 1.2× 237 0.8× 221 0.9× 24 1.3k

Countries citing papers authored by M. Famiano

Since Specialization
Citations

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

Fields of papers citing papers by M. Famiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Famiano

This figure shows the co-authorship network connecting the top 25 collaborators of M. Famiano. A scholar is included among the top collaborators of M. Famiano 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. Famiano. M. Famiano 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.
He, Zhenyu, Toshitaka Kajino, Grant J. Mathews, et al.. (2022). Possibility to Identify the Contributions from Collapsars, Supernovae, and Neutron Star Mergers from the Evolution of the r-process Mass Abundance Distribution. The Astrophysical Journal. 933(1). 112–112. 12 indexed citations
2.
Famiano, M., et al.. (2022). Evolution of Urca Pairs in the Crusts of Highly Magnetized Neutron Stars. The Astrophysical Journal. 940(2). 108–108. 1 indexed citations
3.
Kusakabe, Motohiko, et al.. (2021). Enhancement of lithium in red clump stars by the additional energy loss induced by new physics. Monthly Notices of the Royal Astronomical Society. 503(2). 2746–2753. 23 indexed citations
4.
Suzuki, Toshio, Michio Honma, M. Famiano, et al.. (2020). Screening Effects on Electron Capture Rates and Type Ia Supernova Nucleosynthesis. The Astrophysical Journal. 904(1). 29–29. 7 indexed citations
5.
Famiano, M., Toshitaka Kajino, Toshio Suzuki, et al.. (2018). Nucleosynthesis Constraints on the Explosion Mechanism for Type Ia Supernovae. The Astrophysical Journal. 863(2). 176–176. 18 indexed citations
6.
Famiano, M., R. N. Boyd, Toshitaka Kajino, Takashi Onaka, & Yirong Mo. (2018). Astrophysical Sites that Can Produce Enantiomeric Amino Acids. Symmetry. 11(1). 23–23. 6 indexed citations
7.
Boyd, R. N., M. Famiano, Toshitaka Kajino, & Takashi Onaka. (2018). A New Paradigm for Creating Amino Acid Chirality. 232.
8.
Famiano, M., Toshitaka Kajino, Toshio Suzuki, et al.. (2016). IMPACT OF NEW GAMOW–TELLER STRENGTHS ON EXPLOSIVE TYPE IA SUPERNOVA NUCLEOSYNTHESIS. The Astrophysical Journal. 833(2). 179–179. 18 indexed citations
9.
Famiano, M., et al.. (2014). Determining Amino Acid Chirality in the Supernova Neutrino Processing Model. Symmetry. 6(4). 909–925. 8 indexed citations
10.
Lu, F. X., M. B. Tsang, D. Bazin, et al.. (2013). 1 H( 46 Ar,d) 45 Ar反応からの 45 Arにおける中性子-ホール状態. Physical review. C. 88(1). 1–17604. 2 indexed citations
11.
Aoki, Wako, Takuma Suda, R. N. Boyd, Toshitaka Kajino, & M. Famiano. (2013). EXPLAINING THE Sr AND Ba SCATTER IN EXTREMELY METAL-POOR STARS. The Astrophysical Journal Letters. 766(1). L13–L13. 19 indexed citations
12.
Matoš, M., A. Estradé, H. Schatz, et al.. (2013). TIME-OF-FLIGHT MASS MEASUREMENTS RELEVANT TO NUCLEAR ASTROPHYSICS. 210–217. 1 indexed citations
13.
Best, A., M. Couder, M. Famiano, A. Lemut, & M. Wiescher. (2013). Study of the beam-induced neutron flux and required shielding for DIANA. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 727. 104–108. 4 indexed citations
14.
Liu, T. X., W. G. Lynch, R. H. Showalter, et al.. (2012). Isospin observables from fragment energy spectra. Physical Review C. 86(2). 19 indexed citations
15.
Matoš, M., A. Estradé, A. M. Amthor, et al.. (2009). TIME-OF-FLIGHT MASS MEASUREMENTS AND THEIR IMPORTANCE FOR NUCLEAR ASTROPHYSICS. Acta Physica Polonica B. 40(3). 695–698. 1 indexed citations
16.
Tsang, M. B., Yingxun Zhang, Paweł Danielewicz, et al.. (2009). Constraints on the Density Dependence of the Symmetry Energy. Physical Review Letters. 102(12). 122701–122701. 456 indexed citations breakdown →
17.
Zegers, R. G. T., D. Bazin, A. L. Cole, et al.. (2008). 115A MeVにおける 24 Mg(t, 3 He)反応を使った 24 NaのGamow-Teller強度. Physical review. C. 78(4). 1–47302. 1 indexed citations
18.
Famiano, M., et al.. (2008). Effects of β-decays of excited-state nuclei on the astrophysical r-process. Journal of Physics G Nuclear and Particle Physics. 35(2). 25203–25203. 3 indexed citations
19.
Henderson, Charles, Andrea L. Beach, & M. Famiano. (2007). Diffusion of Educational Innovations via Co-Teaching. AIP conference proceedings. 883. 117–120. 2 indexed citations
20.
Famiano, M., R. N. Boyd, & Toshitaka Kajino. (2002). Light‐Element Nucleosynthesis From Jet‐Cloud Interactions in Active Galactic Nuclei. The Astrophysical Journal. 576(1). 89–100. 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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