M. Frontini

800 citations
24 papers · 606 · h-index 10

Impact in

Papers in

M. Frontini

22 papers receiving 544 citations

Peers

M. Frontini
Comparison fields: 5 of 53
  • Numerical Analysis 469
  • Modeling and Simulation 134
  • Computational Theory and Mathematics 226
  • Mathematical Physics 62
  • Applied Mathematics 56
Replace Petko D. Proĭnov with:
Petko D. Proĭnov Bulgaria
Igor Moret Italy
Fu‐Rong Lin China
L. Wuytack Belgium
Merrell L. Patrick United States
M. Ruiz Galán Spain
Ya. B. Rutitskii
Inmaculada Higueras Spain
Anna Lischke United States
Olivier Ley France
M. Frontini relative to Petko D. Proĭnov Bulgaria Petko D. Proĭnov's profile →
Citations per field
00.5×1.6×
Petko D. Proĭnov · 1×
Citations per year

Countries citing papers authored by M. Frontini

Since Specialization
Citations

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

Fields of papers citing papers by M. Frontini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M. Frontini, 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 M. Frontini Line = papers co-authored together M. Frontini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003205
2 2003152
3 200362
4 199137
5 199729
6 200321
7 198718
8 199417
9
SOME VARIANT OF NEWTONS METHOD WITH THIRD-ORDER CONVERGENCE
200314
10 199112
11 19906
12
Moment-preserving spline approximation on finite intervals and Turán quadratures.
19896
13 19986
14 19935
15 20113
16 19933
17
ハウスドルフ・モーメント問題と最大エントロピー:存在条件に関して
20112
18 19942
19
On the regularized approximation with orthogonal polynomials.
19852
20 19982

About M. Frontini

M. Frontini is a scholar working on Numerical Analysis, Applied Mathematics, Statistical and Nonlinear Physics, Control and Systems Engineering and Modeling and Simulation, having authored 24 papers that have together received 606 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (6 papers), Iterative Methods for Nonlinear Equations (5 papers), Mathematical functions and polynomials (4 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Fractional Differential Equations Solutions (4 papers), Numerical methods in inverse problems (3 papers), Image and Signal Denoising Methods (3 papers) and Vibration and Dynamic Analysis (3 papers). The work is most often cited by research in Numerical Analysis (469 citations), Modeling and Simulation (134 citations), Computational Theory and Mathematics (226 citations), Mathematical Physics (62 citations) and Applied Mathematics (56 citations). M. Frontini has collaborated with scholars based in Italy, Serbia and United States. Frequent co-authors include Aldo Tagliani, Paola Brianzi, Gradimir V. Milovanović, Walter Gautschi, D. de Falco, S. Seatzu, Paolo Pennacchi and Giovanni Mimmi. Their work appears in journals such as Applied Mathematics and Computation, Computers & Mathematics with Applications, Journal of Computational and Applied Mathematics, Inverse Problems and CALCOLO.

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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