G. Mandaglio

8.8k total citations
68 papers, 787 citations indexed

About

G. Mandaglio is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Radiation. According to data from OpenAlex, G. Mandaglio has authored 68 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Nuclear and High Energy Physics, 22 papers in Atomic and Molecular Physics, and Optics and 15 papers in Radiation. Recurrent topics in G. Mandaglio's work include Nuclear physics research studies (43 papers), Astronomical and nuclear sciences (28 papers) and Atomic and Molecular Physics (21 papers). G. Mandaglio is often cited by papers focused on Nuclear physics research studies (43 papers), Astronomical and nuclear sciences (28 papers) and Atomic and Molecular Physics (21 papers). G. Mandaglio collaborates with scholars based in Italy, Russia and Uzbekistan. G. Mandaglio's co-authors include A. K. Nasirov, G. Giardina, G. Fazio, M. Manganaro, A. I. Muminov, A. Sobiczewski, F. Hanappe, W. Scheid, F. Curciarello and V. S. Olkhovsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Physics in Medicine and Biology.

In The Last Decade

G. Mandaglio

63 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Mandaglio Italy 15 711 307 163 109 103 68 787
G. Fazio Italy 16 655 0.9× 361 1.2× 133 0.8× 106 1.0× 84 0.8× 100 780
R. H. France United States 9 200 0.3× 86 0.3× 119 0.7× 71 0.7× 30 0.3× 19 288
A. I. Muminov Uzbekistan 13 615 0.9× 283 0.9× 111 0.7× 65 0.6× 107 1.0× 25 638
G.F. Segato Italy 13 648 0.9× 354 1.2× 236 1.4× 35 0.3× 108 1.0× 29 671
A. Ya. Rusanov Russia 13 512 0.7× 156 0.5× 145 0.9× 20 0.2× 173 1.7× 36 521
I. M. Itkis Russia 16 746 1.0× 292 1.0× 166 1.0× 13 0.1× 185 1.8× 55 761
Л. Крупа Russia 12 429 0.6× 173 0.6× 170 1.0× 16 0.1× 119 1.2× 51 506
M. Mirea Romania 16 658 0.9× 259 0.8× 86 0.5× 20 0.2× 71 0.7× 61 700
B. Štreicher Germany 12 511 0.7× 225 0.7× 138 0.8× 15 0.1× 60 0.6× 21 536
J. Gehlot India 14 539 0.8× 134 0.4× 261 1.6× 19 0.2× 262 2.5× 65 562

Countries citing papers authored by G. Mandaglio

Since Specialization
Citations

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

Fields of papers citing papers by G. Mandaglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Mandaglio

This figure shows the co-authorship network connecting the top 25 collaborators of G. Mandaglio. A scholar is included among the top collaborators of G. Mandaglio 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 G. Mandaglio. G. Mandaglio 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.
Beck, R., A. Braghieri, P. L. Cole, et al.. (2023). The BGOOD experiment at ELSA. Journal of Physics Conference Series. 2586(1). 12003–12003.
2.
Pistone, D., A. Italiano, L. Auditore, et al.. (2022). Relevance of artefacts in 99mTc-MAA SPECT scans on pre-therapy patient-specific 90Y TARE internal dosimetry: a GATE Monte Carlo study. Physics in Medicine and Biology. 67(11). 115002–115002. 5 indexed citations
3.
Mandanici, A., et al.. (2021). Studying Physics, Getting to Know Python: RC Circuit, Simple Experiments, Coding, and Data Analysis With Raspberry Pi. Computing in Science & Engineering. 23(1). 93–96. 3 indexed citations
4.
Prasad, E., N. Madhavan, A. K. Nasirov, et al.. (2020). Fusion studies in Cl35,37+Ta181 reactions via evaporation residue cross section measurements. Physical review. C. 102(3). 1 indexed citations
5.
Pistone, D., L. Auditore, A. Italiano, et al.. (2020). Monte Carlo based dose-rate assessment in 18F-Choline PET examination: a comparison between GATE and GAMOS codes. SHILAP Revista de lepidopterología. 4 indexed citations
6.
Mandanici, A. & G. Mandaglio. (2020). Experiments and data analysis on one-dimensional motion with Raspberry Pi and Python. Physics Education. 55(3). 33006–33006. 4 indexed citations
7.
Grande, R. Del, M. Cargnelli, C. Curceanu, et al.. (2020). Total branching ratio of the K − two-nucleon absorption in 12 C. Physica Scripta. 95(8). 84012–84012. 1 indexed citations
8.
Mandaglio, G., A. Anastasi, F. Curciarello, et al.. (2018). Effects of entrance channels on the deexcitation properties of the same compound nucleus formed by different pairs of collision partners. Physical review. C. 98(4). 6 indexed citations
9.
Cargnelli, M., C. Curceanu, R. Del Grande, et al.. (2017). Investigation of the low-energy kaons hadronic interactions in light nuclei by AMADEUS. SHILAP Revista de lepidopterología. 137. 9005–9005. 1 indexed citations
10.
Anastasi, A., F. Curciarello, G. Fazio, et al.. (2015). Possibilities and Limits of Experimental Results in the Investigation of Reaction Dynamics in Heavy Ion Reactions. Acta Physica Polonica B Proceedings Supplement. 8(3). 583–583. 1 indexed citations
11.
Nasirov, A. K., et al.. (2014). Difference in evaporation residue yields in the cold and hot fusion reactions. Journal of Physics Conference Series. 515. 12015–12015. 1 indexed citations
12.
Fazio, G. & G. Mandaglio. (2014). Stochastic effects and corona discharge for the Shroud body image generation. Journal of the Textile Institute. 106(8). 904–906.
13.
Nasirov, A. K., A. I. Muminov, G. Giardina, & G. Mandaglio. (2014). Basic distinctions between cold- and hot-fusion reactions in the synthesis of superheavy elements. Physics of Atomic Nuclei. 77(7). 881–889. 2 indexed citations
14.
Fazio, G., et al.. (2014). Comparison among the Shroud body image formation mechanisms by the linen fibrils distributions. Journal of the Textile Institute. 106(8). 896–899. 10 indexed citations
15.
Mandaglio, G.. (2013). Latest KLOE result on theσ(e+e−→π+π−) and its impact on the muon anomaly. Journal of Physics Conference Series. 424. 12002–12002. 1 indexed citations
16.
Mandaglio, G., et al.. (2010). DYNAMIC-STATISTICAL APPROACH TO THE DESCRIPTION OF THE INDUCED FISSION IN WIDE EXCITATION ENERGY RANGE. International Journal of Modern Physics E. 19(05n06). 1249–1258. 1 indexed citations
17.
Maydanyuk, Sergei P., V. S. Olkhovsky, G. Mandaglio, et al.. (2010). BREMSSTRAHLUNG EMISSION ACCOMPANYING DECAYS AND SPONTANEOUS FISSION OF HEAVY NUCLEI. International Journal of Modern Physics E. 19(05n06). 1189–1196. 1 indexed citations
18.
Nasirov, A. K., G. Mandaglio, M. Manganaro, et al.. (2010). Quasifission and difference in formation of evaporation residues in the 16O+184W and 19F+181Ta reactions. Physics Letters B. 686(1). 72–77. 18 indexed citations
19.
Fazio, G. & G. Mandaglio. (2009). Does an I(z) correlation exist for the back-part of the Shroud body image?. SHILAP Revista de lepidopterología. 86(2). 1 indexed citations
20.
Fazio, G., et al.. (2005). APPEARANCE OF FAST-FISSION AND QUASI-FISSION IN REACTIONS WITH MASSIVE NUCLEI. Modern Physics Letters A. 20(6). 391–405. 35 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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