David González
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 19
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks 41
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- Probabilistic and Robust Engineering Design 10
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 22
- Computational Mathematics top 10%
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- Numerical methods in engineering 18
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- Advanced Numerical Methods in Computational Mathematics 12
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- Lymphoma Diagnosis and Treatment 11
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- Elasticity and Material Modeling 10
- Co-authors
- Elías CuetoFrancisco ChinestaGareth J. MorganFaith E. DaviesBrian A. WalkerJosé Vicente AguadoAmine AmmarIcíar Alfaro
- Journals
- Blood (15 papers)International Journal for Numerical Methods in Engineering (12 papers)Computer Methods in Applied Mechanics and Engineering (8 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
David González
151 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 147
- Hematology 1.3k
- Statistical and Nonlinear Physics 885
- Statistics, Probability and Uncertainty 402
- Genetics 393
- Computational Mathematics 17
Countries citing papers authored by David González
This map shows the geographic impact of David González'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 David González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David González more than expected).
Fields of papers citing papers by David González
This network shows the impact of papers produced by David González. 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 David González. The network helps show where David González may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David González, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 16 | |
| 4 | 2020 | 45 | |
| 5 | 2019 | 17 | |
| 6 | 2018 | 69 | |
| 7 | 2018 | 30 | |
| 8 | 2016 | 1 | |
| 9 | A proper generalized decomposition approach for high-order problems | 2015 | 2 |
| 10 | 2014 | 6 | |
| 11 | 2014 | 18 | |
| 12 | 2013 | 100 | |
| 13 | 2013 | 222 | |
| 14 | 2012 | 26 | |
| 15 | Tumores de origen patomecánico | 2012 | 1 |
| 16 | 2011 | 50 | |
| 17 | 2010 | 85 | |
| 18 | 2009 | 92 | |
| 19 | 2003 | 28 | |
| 20 | 2000 | 4 |
About David González
David González is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics, Hematology, Genetics and Computer Graphics and Computer-Aided Design, having authored 154 papers that have together received 4.3k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (41 papers), Chronic Lymphocytic Leukemia Research (22 papers), Multiple Myeloma Research and Treatments (19 papers), Numerical methods in engineering (18 papers), Advanced Numerical Methods in Computational Mathematics (12 papers), Lymphoma Diagnosis and Treatment (11 papers), Probabilistic and Robust Engineering Design (10 papers) and Elasticity and Material Modeling (10 papers). The work is most often cited by research in Hematology (1.3k citations), Statistical and Nonlinear Physics (885 citations), Statistics, Probability and Uncertainty (402 citations), Genetics (393 citations) and Computational Mathematics (17 citations). David González has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Elías Cueto, Francisco Chinesta, Gareth J. Morgan, Faith E. Davies, Brian A. Walker, José Vicente Aguado, Amine Ammar, Icíar Alfaro, M. Doblaré and Ramón García‐Sánz. Their work appears in journals such as Blood, International Journal for Numerical Methods in Engineering, Computer Methods in Applied Mechanics and Engineering, Journal of Magnetism and Magnetic Materials and Archives of Computational Methods in Engineering.
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.