G. Abal
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Solar Radiation and Photovoltaics
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- Quantum-Dot Cellular Automata
Papers in ⓘ
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- Solar Radiation and Photovoltaics 17
- Quantum Computing Algorithms and Architecture 13
- Quantum Information and Cryptography 12
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- Quantum chaos and dynamical systems 7
- Co-authors
- R. Donangelo (17 shared papers)R. Siri (16 shared papers)A. Romanelli (11 shared papers)A. Auyuanet (3 shared papers)Rodrigo Alonso-Suárez (12 shared papers)Renato Portugal (3 shared papers)Pablo Musé (3 shared papers)Hugo Fort (2 shared papers)
In The Last Decade
G. Abal
37 papers receiving 488 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 459
- Computational Theory and Mathematics 183
- Atomic and Molecular Physics, and Optics 188
- Statistical and Nonlinear Physics 68
- Renewable Energy, Sustainability and the Environment 71
Countries citing papers authored by G. Abal
This map shows the geographic impact of G. Abal'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 G. Abal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Abal more than expected).
Fields of papers citing papers by G. Abal
This network shows the impact of papers produced by G. Abal. 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 G. Abal. The network helps show where G. Abal may publish in the future.
Co-authors
The 15 scholars most cited alongside G. Abal, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 81 | |
| 2 | 2004 | 80 | |
| 3 | 2004 | 51 | |
| 4 | 2016 | 33 | |
| 5 | 2010 | 32 | |
| 6 | 2008 | 29 | |
| 7 | 2005 | 28 | |
| 8 | 2020 | 25 | |
| 9 | 2012 | 21 | |
| 10 | 2002 | 14 | |
| 11 | 2007 | 13 | |
| 12 | 2014 | 13 | |
| 13 | 2012 | 11 | |
| 14 | 2008 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2003 | 9 | |
| 17 | 1998 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2006 | 6 | |
| 20 | 2011 | 6 |
About G. Abal
G. Abal is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Renewable Energy, Sustainability and the Environment and Atomic and Molecular Physics, and Optics, having authored 43 papers that have together received 532 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (17 papers), Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (12 papers), Quantum-Dot Cellular Automata (8 papers), Solar Thermal and Photovoltaic Systems (8 papers), Quantum chaos and dynamical systems (7 papers), Photovoltaic System Optimization Techniques (6 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). The work is most often cited by research in Artificial Intelligence (459 citations), Computational Theory and Mathematics (183 citations), Atomic and Molecular Physics, and Optics (188 citations), Statistical and Nonlinear Physics (68 citations) and Renewable Energy, Sustainability and the Environment (71 citations). G. Abal has collaborated with scholars based in Uruguay, Brazil and Iran. Frequent co-authors include R. Donangelo, R. Siri, A. Romanelli, A. Auyuanet, Rodrigo Alonso-Suárez, Renato Portugal, Pablo Musé, Hugo Fort, Paola Russo and C. O. Dorso. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Solar Energy, Physical Review A, Nuclear Physics A and Air Quality Atmosphere & Health.
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.