Javier Ibáñez

59 total papers · 582 total citations
47 papers, 417 citations indexed

About

Javier Ibáñez is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Javier Ibáñez has authored 47 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 35 papers in Numerical Analysis and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Javier Ibáñez's work include Matrix Theory and Algorithms (36 papers), Numerical methods for differential equations (35 papers) and Numerical Methods and Algorithms (9 papers). Javier Ibáñez is often cited by papers focused on Matrix Theory and Algorithms (36 papers), Numerical methods for differential equations (35 papers) and Numerical Methods and Algorithms (9 papers). Javier Ibáñez collaborates with scholars based in Spain, Sweden and Puerto Rico. Javier Ibáñez's co-authors include Emilio Defez, Jorge Sastre, Enrique Arias, Pedro Alonso, Avelino García‐Álvarez, Fernando San José Martínez, Margarita Ruiz‐Ramos, José M. Alonso, Vicente Hernández and Michael M. Tung and has published in prestigious journals such as Computer Physics Communications, Forest Ecology and Management and Ecological Modelling.

In The Last Decade

Javier Ibáñez

43 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Javier Ibáñez	232	197	83	55	43	47	417
Fasma Diele	147 0.6×	175 0.9×	64 0.8×	59 1.1×	26 0.6×	49	479
W. D. Hoskins	168 0.7×	123 0.6×	54 0.7×	83 1.5×	23 0.5×	30	445
Andrea Barth	140 0.6×	98 0.5×	50 0.6×	137 2.5×	16 0.4×	27	463
Annika Lang	108 0.5×	65 0.3×	41 0.5×	93 1.7×	29 0.7×	40	481
G. Mora	119 0.5×	89 0.5×	6 0.1×	47 0.9×	32 0.7×	58	465
Muhammad Zaid Dauhoo	87 0.4×	161 0.8×	42 0.5×	96 1.7×	43 1.0×	41	466
Aurél Galántai	211 0.9×	156 0.8×	31 0.4×	72 1.3×	63 1.5×	39	470
Knut Petras	123 0.5×	182 0.9×	38 0.5×	65 1.2×	17 0.4×	36	431
Appanah Rao Appadu	46 0.2×	225 1.1×	131 1.6×	166 3.0×	22 0.5×	58	470
M. A. Al-Zanaidi	94 0.4×	299 1.5×	49 0.6×	125 2.3×	60 1.4×	35	413

Countries citing papers authored by Javier Ibáñez

Since Specialization

Citations

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

Fields of papers citing papers by Javier Ibáñez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Ibáñez. 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 Javier Ibáñez. The network helps show where Javier Ibáñez may publish in the future.

Co-authorship network of co-authors of Javier Ibáñez

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Ibáñez. A scholar is included among the top collaborators of Javier Ibáñez 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 Javier Ibáñez. Javier Ibáñez 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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