M. Macconi

474 citations
17 papers · 351 · h-index 10

Impact in

    • Advanced Optimization Algorithms Research
    • Iterative Methods for Nonlinear Equations
    • Differential Equations and Numerical Methods
    • Numerical methods for differential equations
    • Matrix Theory and Algorithms
    • Optimization and Variational Analysis

Papers in

M. Macconi

17 papers receiving 326 citations

Peers

M. Macconi
Comparison fields: 5 of 56
  • Numerical Analysis 258
  • Computational Theory and Mathematics 154
  • Modeling and Simulation 18
  • Computational Mechanics 78
  • Mathematical Physics 21
Replace Liang Fang with:
Liang Fang China
Hans Joachim Oberle Germany
M. Lentini Italy
J. F. B. M. Kraaijevanger Netherlands
Walter F. Mascarenhas Brazil
James V. Lambers United States
Mounir Haddou France
S. H. Lui Canada
Félix Kwok Switzerland
Maria Sosonkina United States
M. Macconi relative to Liang Fang China Liang Fang's profile →
Citations per field
00.5×1.5×1.8×
Liang Fang · 1×
Citations per year

Countries citing papers authored by M. Macconi

Since Specialization
Citations

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

Fields of papers citing papers by M. Macconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside M. Macconi, 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. Macconi Line = papers co-authored together M. Macconi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200389
2 200448
3 200838
4 199036
5 200627
6 198923
7 201220
8 199218
9 200918
10 199210
11 19967
12 19995
13 19763
14 19993
15 20073
16 20022
17 19961

About M. Macconi

M. Macconi is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Mechanical Engineering and Mathematical Physics, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Matrix Theory and Algorithms (9 papers), Iterative Methods for Nonlinear Equations (6 papers), Numerical methods for differential equations (5 papers), Differential Equations and Numerical Methods (5 papers), Material Science and Thermodynamics (2 papers), Differential Equations and Boundary Problems (2 papers) and Electromagnetic Simulation and Numerical Methods (1 paper). The work is most often cited by research in Numerical Analysis (258 citations), Computational Theory and Mathematics (154 citations), Modeling and Simulation (18 citations), Computational Mechanics (78 citations) and Mathematical Physics (21 citations). M. Macconi has collaborated with scholars based in Italy. Frequent co-authors include Benedetta Morini, Stefania Bellavia, Margherita Porcelli and Sandra Pieraccini. Their work appears in journals such as Journal of Optimization Theory and Applications, Journal of Computational and Applied Mathematics, Computational Optimization and Applications, Optimization methods & software and Applied Numerical Mathematics.

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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