David González

15.2k total citations
154 papers, 4.3k citations indexed

About

David González is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Hematology. According to data from OpenAlex, David González has authored 154 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistical and Nonlinear Physics, 32 papers in Computational Mechanics and 25 papers in Hematology. Recurrent topics in David González's work include Model Reduction and Neural Networks (41 papers), Chronic Lymphocytic Leukemia Research (22 papers) and Multiple Myeloma Research and Treatments (19 papers). David González is often cited by papers focused on Model Reduction and Neural Networks (41 papers), Chronic Lymphocytic Leukemia Research (22 papers) and Multiple Myeloma Research and Treatments (19 papers). David González collaborates with scholars based in Spain, France and United Kingdom. David González's 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 and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Physical review. B, Condensed matter.

In The Last Decade

David González

151 papers receiving 4.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David González Spain 35 1.3k 1.3k 885 684 561 154 4.3k
Michael D. Graham United States 49 208 0.2× 585 0.4× 770 0.9× 151 0.2× 83 0.1× 201 7.4k
Mark Alber United States 41 545 0.4× 1.3k 1.0× 569 0.6× 58 0.1× 156 0.3× 143 4.4k
Dmitry A. Fedosov Germany 37 441 0.3× 543 0.4× 111 0.1× 54 0.1× 56 0.1× 90 4.9k
Hideaki Sakai Japan 43 85 0.1× 2.0k 1.6× 94 0.1× 60 0.1× 691 1.2× 322 8.8k
Kenji Kawaguchi Japan 33 28 0.0× 196 0.2× 687 0.8× 296 0.4× 145 0.3× 210 5.0k
Guofeng Zhang China 34 118 0.1× 835 0.6× 150 0.2× 61 0.1× 194 0.3× 282 5.1k
Willi Jäger Germany 26 63 0.0× 499 0.4× 103 0.1× 514 0.8× 150 0.3× 103 3.2k
Hiroyuki Satō Japan 33 254 0.2× 160 0.1× 19 0.0× 221 0.3× 149 0.3× 480 4.3k
G. Federici Germany 46 89 0.1× 407 0.3× 32 0.0× 898 1.3× 205 0.4× 184 8.8k
H. N. Abramson United States 22 117 0.1× 312 0.2× 77 0.1× 1.8k 2.6× 108 0.2× 91 5.2k

Countries citing papers authored by David González

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of David González

This figure shows the co-authorship network connecting the top 25 collaborators of David González. A scholar is included among the top collaborators of David González based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David González. David González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
González‐Pérez, Víctor, et al.. (2023). An open-source development based on photogrammetry for a real-time IORT treatment planning system. Physica Medica. 112. 102622–102622. 2 indexed citations
2.
Badías, Alberto, Icíar Alfaro, David González, Francisco Chinesta, & Elías Cueto. (2021). MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7764–7777. 4 indexed citations
3.
Alfaro, Icíar, et al.. (2020). Physically sound, self-learning digital twins for sloshing fluids. PLoS ONE. 15(6). e0234569–e0234569. 16 indexed citations
4.
Badías, Alberto, et al.. (2020). Structure-preserving neural networks. Journal of Computational Physics. 426. 109950–109950. 45 indexed citations
5.
Badías, Alberto, et al.. (2019). An augmented reality platform for interactive aerodynamic design and analysis. International Journal for Numerical Methods in Engineering. 120(1). 125–138. 17 indexed citations
6.
Ibáñez, Rubén, Emmanuelle Abisset‐Chavanne, David González, et al.. (2018). Hybrid constitutive modeling: data-driven learning of corrections to plasticity models. International Journal of Material Forming. 12(4). 717–725. 69 indexed citations
7.
González, David, et al.. (2018). Reduced-order modeling of soft robots. PLoS ONE. 13(2). e0192052–e0192052. 30 indexed citations
8.
González, David, et al.. (2016). Giant Glomus Tumor and Neuroma in the Fifth Ray. Journal of the American Podiatric Medical Association. 106(2). 151–154. 1 indexed citations
9.
González, David, et al.. (2015). A proper generalized decomposition approach for high-order problems. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2 indexed citations
10.
González, David, et al.. (2014). Biphalangeal/triphalangeal fifth toe and impact in the pathology of the fifth ray. BMC Musculoskeletal Disorders. 15(1). 295–295. 6 indexed citations
11.
González, David, et al.. (2014). Multiple Interdigital Neuromas: A Retrospective Study of 279 Feet With 462 Neuromas. The Journal of Foot & Ankle Surgery. 54(3). 320–322. 18 indexed citations
12.
Walker, Brian A., Christopher P. Wardell, David C. Johnson, et al.. (2013). Characterization of IGH locus breakpoints in multiple myeloma indicates a subset of translocations appear to occur in pregerminal center B cells. Blood. 121(17). 3413–3419. 100 indexed citations
13.
Chinesta, Francisco, Adrien Leygue, Felipe Bordeu, et al.. (2013). PGD-Based Computational Vademecum for Efficient Design, Optimization and Control. Archives of Computational Methods in Engineering. 20(1). 31–59. 222 indexed citations
14.
Lin, Ke, Janet Adamson, Gillian G. Johnson, et al.. (2012). Functional Analysis of the ATM-p53-p21 Pathway in the LRF CLL4 Trial: Blockade at the Level of p21 Is Associated with Short Response Duration. Clinical Cancer Research. 18(15). 4191–4200. 26 indexed citations
15.
González, David, et al.. (2012). Tumores de origen patomecánico. 13(1). 11–27. 1 indexed citations
16.
Boyd, Kevin, Fiona M. Ross, William Tapper, et al.. (2011). The clinical impact and molecular biology of del(17p) in multiple myeloma treated with conventional or thalidomide‐based therapy. Genes Chromosomes and Cancer. 50(10). 765–774. 50 indexed citations
17.
Dickens, Nicholas J., Brian A. Walker, Paola Leone, et al.. (2010). Homozygous Deletion Mapping in Myeloma Samples Identifies Genes and an Expression Signature Relevant to Pathogenesis and Outcome. Clinical Cancer Research. 16(6). 1856–1864. 85 indexed citations
18.
González, David, Amine Ammar, Francisco Chinesta, & Elías Cueto. (2009). Recent advances on the use of separated representations. International Journal for Numerical Methods in Engineering. 81(5). 637–659. 92 indexed citations
19.
González, David, Ana Balanzategui, Ramón García‐Sánz, et al.. (2003). Incomplete DJH rearrangements of the IgH gene are frequent in multiple myeloma patients: immunobiological characteristics and clinical implications. Leukemia. 17(7). 1398–1403. 28 indexed citations
20.
Mateos, María‐Victoria, Marcos González, Ana Balanzategui, et al.. (2000). Status of methylation of p16 gene in multiple myeloma: a comparative study of three methods for its detection. Clinical Biochemistry. 33(5). 415–418. 4 indexed citations

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.

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