G. Amádio

630 citations
27 papers · 138 indexed · h-index 7

Impact in

Papers in

G. Amádio

21 papers receiving 134 citations

Peers

G. Amádio
Comparison fields: 5 of 44
  • Nuclear and High Energy Physics 56
  • Radiation 26
  • Mechanics of Materials 37
  • Information Systems and Management 10
  • Aerospace Engineering 32
Replace M. Al-Turany with:
M. Al-Turany Germany
Y. Buravand France
M. Jeitler Austria
N. Kamikubota Japan
H. Anand United States
E. Trask United States
D. della Volpe Switzerland
R. Mendoza United States
A. Shishlo United States
Y. Yasu Japan
G. Amádio relative to M. Al-Turany Germany M. Al-Turany's profile →
Citations per field
00.5×7.4×
M. Al-Turany · 1×
Citations per year

Countries citing papers authored by G. Amádio

Since Specialization
Citations

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

Fields of papers citing papers by G. Amádio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Amádio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Amádio Line = papers co-authored together G. Amádio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20231
4 20223
5 20190
6 20190
7 20191
8 201919
9 20180
10 20181
11 20181
12 201520
13
Particle packings and microstructure modeling of energetic materials
20142
14 20124
15 20116
16 20090
17 20097
18 200811
19 200716
20 20036

About G. Amádio

G. Amádio is a scholar working on Hardware and Architecture, Nuclear and High Energy Physics, Radiation, Geochemistry and Petrology and Computer Networks and Communications, having authored 27 papers that have together received 138 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Parallel Computing and Optimization Techniques (7 papers), Nuclear physics research studies (6 papers), Particle physics theoretical and experimental studies (6 papers), Distributed and Parallel Computing Systems (5 papers), Particle accelerators and beam dynamics (3 papers), Nuclear Physics and Applications (3 papers) and Energetic Materials and Combustion (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (56 citations), Radiation (26 citations), Mechanics of Materials (37 citations), Information Systems and Management (10 citations) and Aerospace Engineering (32 citations). G. Amádio has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include T. L. Jackson, Karel Matouš, Andrew Gillman, Philippe Canal, S. Kubono, Ju Zhang, D. Piparo, N. A. Naumann, G. Ganis and H. Yamaguchi. Their work appears in journals such as Nuclear Physics A, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physics Letters B, Computer Modeling in Engineering & Sciences and Journal of Radioanalytical and Nuclear Chemistry.

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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