A. Murli
Impact in
- Modeling and Simulation top 2%
- Mathematical and Computational Methods
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Mathematical and Computational Methods 15
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- Parallel Computing and Optimization Techniques 17
- Co-authors
- Luisa D’Amore (42 shared papers)Giuliano Laccetti (13 shared papers)Gianni Di Pillo (1 shared paper)Stefania Corsaro (3 shared papers)Franco Brezzi (2 shared papers)Annalisa Buffa (2 shared papers)Rossella Arcucci (9 shared papers)Giulio Giunta (7 shared papers)
- Journals
- ACM Transactions on Mathematical Software (7 papers)CALCOLO (5 papers)Journal of Computational and Applied Mathematics (4 papers)Inverse Problems (4 papers)Parallel Computing (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
A. Murli
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 142
- Hardware and Architecture 196
- Numerical Analysis 89
- Applied Mathematics 165
- Mathematical Physics 125
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 108 | |
| 2 | 1990 | 76 | |
| 3 | 2003 | 74 | |
| 4 | 1988 | 54 | |
| 5 | 1999 | 51 | |
| 6 | 2017 | 33 | |
| 7 | 1988 | 30 | |
| 8 | 1998 | 27 | |
| 9 | 2006 | 27 | |
| 10 | 2014 | 27 | |
| 11 | 1999 | 25 | |
| 12 | 2014 | 24 | |
| 13 | 2002 | 23 | |
| 14 | 2010 | 22 | |
| 15 | 2011 | 22 | |
| 16 | 2012 | 22 | |
| 17 | 2002 | 20 | |
| 18 | 2004 | 20 | |
| 19 | 2005 | 19 | |
| 20 | 2007 | 19 |
About A. Murli
A. Murli is a scholar working on Modeling and Simulation, Hardware and Architecture, Applied Mathematics, Mathematical Physics and Oceanography, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Mathematical functions and polynomials (16 papers), Mathematical and Computational Methods (15 papers), Numerical methods in inverse problems (13 papers), Distributed and Parallel Computing Systems (11 papers), Oceanographic and Atmospheric Processes (10 papers), Matrix Theory and Algorithms (6 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). The work is most often cited by research in Modeling and Simulation (142 citations), Hardware and Architecture (196 citations), Numerical Analysis (89 citations), Applied Mathematics (165 citations) and Mathematical Physics (125 citations). A. Murli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Luisa D’Amore, Giuliano Laccetti, Gianni Di Pillo, Stefania Corsaro, Franco Brezzi, Annalisa Buffa, Rossella Arcucci, Giulio Giunta, James N. Lyness and B. S. Garbow. Their work appears in journals such as ACM Transactions on Mathematical Software, CALCOLO, Journal of Computational and Applied Mathematics, Inverse Problems 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.