S. Seatzu

715 citations
47 papers · 541 indexed · h-index 11
Topics
Matrix Theory and Algorithms (21 papers)Numerical methods in inverse problems (11 papers)Nonlinear Waves and Solitons (7 papers)

In The Last Decade

S. Seatzu

45 papers receiving 508 citations

Peers

S. Seatzu
Comparison fields: 5 of 62
  • Mathematical Physics 242
  • Applied Mathematics 209
  • Computational Theory and Mathematics 145
  • Computational Mechanics 107
  • Computer Vision and Pattern Recognition 96
Replace A. S. Leonov with:
A. S. Leonov Russia
Laurent Baratchart France
Alfred S. Carasso United States
Ricardo Estrada United States
Knut S. Eckhoff Norway
Hervé Vandeven France
Quôc Thông Lê Gia Australia
Giles Auchmuty United States
Ram P. Kanwal United States
Jürgen Prestin Germany
S. Seatzu relative to A. S. Leonov Russia A. S. Leonov's profile →
Citations per field
00.5×2.6×
A. S. Leonov · 1×
Citations per year

Countries citing papers authored by S. Seatzu

Since Specialization
Citations

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

Fields of papers citing papers by S. Seatzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Seatzu

This figure shows the co-authorship network connecting the top 25 collaborators of S. Seatzu. A scholar is included among the top collaborators of S. Seatzu 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 S. Seatzu. S. Seatzu 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
#WorkIndexed citations
1 2
2 3
3 4
4
Structured matrix numerical solution of the nonlinear schrodinger equation by the inverse scattering transform
6
5 50
6 5
7 4
8 12
9 8
10
Spectral factorization of bi-infinite block Toeplitz matrices with applications
3
11 35
12 2
13 4
14 4
15
On the numerical inversion of the Laplace transform with equally spaced data
1
16 8
17 4
18 2
19
On the regularized approximation with orthogonal polynomials.
2
20 5

About S. Seatzu

S. Seatzu is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics, having authored 47 papers that have together received 541 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (21 papers), Numerical methods in inverse problems (11 papers) and Nonlinear Waves and Solitons (7 papers). The work is most often cited by research in Mathematical Physics (242 citations), Applied Mathematics (209 citations) and Numerical Analysis (74 citations). S. Seatzu has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include G. Rodríguez, Claude Brezinski, Michela Redivo‐Zaglia, Cornelis van der Mee, Charles A. Micchelli, C. V. M. van der Mee, Tim N.T. Goodman, Lothar Reichel, Luisa Fermo and M. A. Kaashoek. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Non-Crystalline Solids and Journal of Mathematical Analysis and Applications.

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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