Igor Moret
Impact in
- Numerical Analysis top 1%
- Numerical methods for differential equations
- Iterative Methods for Nonlinear Equations
- Differential Equations and Numerical Methods
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
Papers in
-
- Numerical methods for differential equations 18
- Iterative Methods for Nonlinear Equations 14
- Advanced Optimization Algorithms Research 10
-
- Matrix Theory and Algorithms 28
- Co-authors
- Paolo Novati (7 shared papers)Marina Popolizio (3 shared papers)Roberto Garrappa (2 shared papers)Elena Celledoni (1 shared paper)Pierpaolo Omari (4 shared papers)Fasma Diele (1 shared paper)Stefania Ragni (1 shared paper)Luca Bergamaschi (1 shared paper)
- Journals
- Numerical Functional Analysis and Optimization (7 papers)Numerical Linear Algebra with Applications (4 papers)Computing (4 papers)Journal of Computational and Applied Mathematics (3 papers)Numerische Mathematik (2 papers)
- Partner nations
- Italy
In The Last Decade
Igor Moret
35 papers receiving 517 citations
Peers
Comparison fields: 5 of 50
- Numerical Analysis 442
- Modeling and Simulation 184
- Computational Theory and Mathematics 331
- Computational Mathematics 5
- Statistical and Nonlinear Physics 80
Countries citing papers authored by Igor Moret
This map shows the geographic impact of Igor Moret'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 Igor Moret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Moret more than expected).
Fields of papers citing papers by Igor Moret
This network shows the impact of papers produced by Igor Moret. 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 Igor Moret. The network helps show where Igor Moret may publish in the future.
Co-authors
The 9 scholars most cited alongside Igor Moret, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 130 | |
| 2 | 2014 | 52 | |
| 3 | 2011 | 48 | |
| 4 | 2001 | 40 | |
| 5 | 1997 | 35 | |
| 6 | 1997 | 33 | |
| 7 | 2001 | 26 | |
| 8 | 1984 | 26 | |
| 9 | 2016 | 21 | |
| 10 | 2008 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2007 | 17 | |
| 13 | 1989 | 16 | |
| 14 | 2008 | 15 | |
| 15 | 2004 | 14 | |
| 16 | 2017 | 12 | |
| 17 | 2001 | 11 | |
| 18 | 2013 | 9 | |
| 19 | 1989 | 8 | |
| 20 | 1991 | 7 |
About Igor Moret
Igor Moret is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Mathematical Physics, Modeling and Simulation and Atomic and Molecular Physics, and Optics, having authored 37 papers that have together received 594 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (28 papers), Numerical methods for differential equations (18 papers), Iterative Methods for Nonlinear Equations (14 papers), Advanced Optimization Algorithms Research (10 papers), Fractional Differential Equations Solutions (8 papers), Numerical methods in inverse problems (8 papers), Electromagnetic Simulation and Numerical Methods (4 papers) and Electromagnetic Scattering and Analysis (4 papers). The work is most often cited by research in Numerical Analysis (442 citations), Modeling and Simulation (184 citations), Computational Theory and Mathematics (331 citations), Computational Mathematics (5 citations) and Statistical and Nonlinear Physics (80 citations). Igor Moret has collaborated with scholars based in Italy. Frequent co-authors include Paolo Novati, Marina Popolizio, Roberto Garrappa, Elena Celledoni, Pierpaolo Omari, Fasma Diele, Stefania Ragni, Luca Bergamaschi and Lucio Torelli. Their work appears in journals such as Numerical Functional Analysis and Optimization, Numerical Linear Algebra with Applications, Computing, Journal of Computational and Applied Mathematics and Numerische Mathematik.
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.