A. Murli
Impact in
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
- Modeling and Simulation top 5%
Papers in
-
- Distributed and Parallel Computing Systems 15
-
- Matrix Theory and Algorithms 11
- Numerical Methods and Algorithms 6
- Co-authors
- Luisa D’Amore (43 shared papers)Giuliano Laccetti (13 shared papers)Gianni Di Pillo (1 shared paper)Stefania Corsaro (3 shared papers)Annalisa Buffa (2 shared papers)Franco Brezzi (2 shared papers)Rossella Arcucci (11 shared papers)Giulio Giunta (7 shared papers)
- Journals
- ACM Transactions on Mathematical Software (7 papers)CALCOLO (5 papers)Inverse Problems (4 papers)Journal of Computational and Applied Mathematics (4 papers)Parallel Computing (3 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
A. Murli
73 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Numerical Analysis 219
- Modeling and Simulation 66
- Computational Theory and Mathematics 225
- Hardware and Architecture 91
- Computational Mechanics 227
Countries citing papers authored by A. Murli
This map shows the geographic impact of A. Murli'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 A. Murli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Murli more than expected).
Fields of papers citing papers by A. Murli
This network shows the impact of papers produced by A. Murli. 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 A. Murli. The network helps show where A. Murli may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Murli, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 106 | |
| 2 | 1990 | 75 | |
| 3 | 2003 | 75 | |
| 4 | 1988 | 55 | |
| 5 | 1999 | 52 | |
| 6 | 2017 | 32 | |
| 7 | 1988 | 30 | |
| 8 | 1998 | 29 | |
| 9 | 2006 | 28 | |
| 10 | 2014 | 26 | |
| 11 | 2014 | 24 | |
| 12 | 1999 | 23 | |
| 13 | 2002 | 23 | |
| 14 | 2011 | 21 | |
| 15 | HPC computation issues of the incremental 3D variational data assimilation scheme in OceanVar software | 2012 | 21 |
| 16 | 2012 | 20 | |
| 17 | 2005 | 19 | |
| 18 | 2002 | 19 | |
| 19 | 2004 | 19 | |
| 20 | 2007 | 18 |
About A. Murli
A. Murli is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Numerical Analysis, Mathematical Physics and Hardware and Architecture, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Numerical methods in inverse problems (11 papers), Matrix Theory and Algorithms (11 papers), Parallel Computing and Optimization Techniques (11 papers), Meteorological Phenomena and Simulations (9 papers), Numerical Methods and Algorithms (6 papers), Thermoelastic and Magnetoelastic Phenomena (6 papers) and Iterative Methods for Nonlinear Equations (6 papers). The work is most often cited by research in Numerical Analysis (219 citations), Modeling and Simulation (66 citations), Computational Theory and Mathematics (225 citations), Hardware and Architecture (91 citations) and Computational Mechanics (227 citations). A. Murli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Luisa D’Amore, Giuliano Laccetti, Gianni Di Pillo, Stefania Corsaro, Annalisa Buffa, Franco Brezzi, Rossella Arcucci, Giulio Giunta, J. N. Lyness and B. S. Garbow. Their work appears in journals such as ACM Transactions on Mathematical Software, CALCOLO, Inverse Problems, Journal of Computational and Applied Mathematics and Parallel Computing.
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.