Giulia Spaletta

43 papers receiving 264 citations

Peers

Giulia Spaletta
Comparison fields: 5 of 86
  • Numerical Analysis 58
  • Computational Theory and Mathematics 48
  • Computational Mechanics 43
  • Biomedical Engineering 84
  • Biomaterials 24
Replace V.T. Coppola with:
V.T. Coppola United States
Xiaoqiang Wang China
A. S. Al-Fhaid Saudi Arabia
Arka Bhowmik India
Sílvia Barbeiro Portugal
Emily J. Evans United States
Jiali Zhang China
Aleksey V. Nenarokomov Russia
Tobias Köppl Germany
Yuxuan Liu China
Giulia Spaletta relative to V.T. Coppola United States V.T. Coppola's profile →
Citations per field
00.5×5.4×
V.T. Coppola · 1×
Citations per year

Countries citing papers authored by Giulia Spaletta

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Spaletta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Spaletta, 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 Giulia Spaletta Line = papers co-authored together Giulia Spaletta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200541
2 201120
3 200018
4 200517
5 200214
6
The bioartificial thyroid: a biotechnological perspective in endocrine organ engineering for transplantation replacement.
200712
7 201212
8 201510
9 198910
10 20049
11 20239
12
Extrapolation Methods in Mathematica 1
20089
13 20088
14 19938
15 20227
16 20146
17
MATHEMATICS AND COMPUTERS IN SIMULATION
20166
18 20054
19 20054
20 20034

About Giulia Spaletta

Giulia Spaletta is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Biomedical Engineering and Surgery, having authored 48 papers that have together received 282 indexed citations. Recurring topics across this work include Numerical methods for differential equations (12 papers), Matrix Theory and Algorithms (8 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), 3D Printing in Biomedical Research (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Numerical methods in inverse problems (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Numerical Analysis (58 citations), Computational Theory and Mathematics (48 citations), Computational Mechanics (43 citations), Biomedical Engineering (84 citations) and Biomaterials (24 citations). Giulia Spaletta has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Fiorella Sgallari, Roberto Toni, Andrea Gatto, Elena Bassoli, Lothar Reichel, Daniela Calvetti, Nicoletta Zini, Vittorio Rizzoli, David Evans and Franco Mastri. Their work appears in journals such as Journal of Computational and Applied Mathematics, Annals of Anatomy - Anatomischer Anzeiger, Journal of Biomedical Materials Research Part B Applied Biomaterials, Parallel Computing and Frontiers in Endocrinology.

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.

Explore authors with similar magnitude of impact