Miquel Grau-Sánchez

36 total papers · 785 total citations
28 papers, 569 citations indexed

About

Miquel Grau-Sánchez is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Miquel Grau-Sánchez has authored 28 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Numerical Analysis, 20 papers in Computational Theory and Mathematics and 6 papers in Modeling and Simulation. Recurrent topics in Miquel Grau-Sánchez's work include Iterative Methods for Nonlinear Equations (27 papers), Advanced Optimization Algorithms Research (25 papers) and Matrix Theory and Algorithms (20 papers). Miquel Grau-Sánchez is often cited by papers focused on Iterative Methods for Nonlinear Equations (27 papers), Advanced Optimization Algorithms Research (25 papers) and Matrix Theory and Algorithms (20 papers). Miquel Grau-Sánchez collaborates with scholars based in Spain. Miquel Grau-Sánchez's co-authors include Miquel Noguera, Àngela Grau, J.M. Gutiérrez, Sergio Amat, José Luis Díaz‐Barrero, José R. Herrero, Sonia Busquier, J.A. Ezquerro, M.A. Hernández and E. Montseny and has published in prestigious journals such as Applied Mathematics and Computation, Numerische Mathematik and Journal of Computational and Applied Mathematics.

In The Last Decade

Miquel Grau-Sánchez

27 papers receiving 550 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Miquel Grau-Sánchez 554 346 141 59 29 28 569
D.K.R. Babajee 471 0.9× 249 0.7× 128 0.9× 60 1.0× 25 0.9× 25 522
Hongmin Ren 608 1.1× 351 1.0× 187 1.3× 46 0.8× 55 1.9× 50 642
Sergio Plaza 551 1.0× 237 0.7× 174 1.2× 139 2.4× 79 2.7× 30 584
Mădălina Pačurar 113 0.2× 260 0.8× 41 0.3× 20 0.3× 35 1.2× 37 678
Heiner Gonska 419 0.8× 61 0.2× 8 0.1× 71 1.2× 69 2.4× 49 690
Manabu Naito 406 0.7× 189 0.5× 50 0.4× 13 0.2× 104 3.6× 69 677
Qingliu Yao 440 0.8× 145 0.4× 153 1.1× 19 0.3× 47 1.6× 39 692
Juan A. Gatica 262 0.5× 242 0.7× 55 0.4× 9 0.2× 87 3.0× 26 628
Vikas Gupta 497 0.9× 171 0.5× 162 1.1× 102 1.7× 10 0.3× 35 545
Jesús Garcı́a-Falset 152 0.3× 354 1.0× 84 0.6× 7 0.1× 112 3.9× 36 576

Countries citing papers authored by Miquel Grau-Sánchez

Since Specialization
Citations

This map shows the geographic impact of Miquel Grau-Sánchez'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 Miquel Grau-Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miquel Grau-Sánchez more than expected).

Fields of papers citing papers by Miquel Grau-Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miquel Grau-Sánchez. 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 Miquel Grau-Sánchez. The network helps show where Miquel Grau-Sánchez may publish in the future.

Co-authorship network of co-authors of Miquel Grau-Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Miquel Grau-Sánchez. A scholar is included among the top collaborators of Miquel Grau-Sánchez 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 Miquel Grau-Sánchez. Miquel Grau-Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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