Javier Iglesias

65 total papers · 581 total citations
23 papers, 340 citations indexed

About

Javier Iglesias is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Javier Iglesias has authored 23 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 6 papers in Cognitive Neuroscience. Recurrent topics in Javier Iglesias's work include Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (5 papers) and Islanding Detection in Power Systems (5 papers). Javier Iglesias is often cited by papers focused on Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (5 papers) and Islanding Detection in Power Systems (5 papers). Javier Iglesias collaborates with scholars based in Spain, Switzerland and France. Javier Iglesias's co-authors include Alessandro E. P. Villa, Santiago Bogarra, Jan Eriksson, Marco Tomassini, F. Córcoles, Daniel Díaz-Pernil, D.A. Douglass, V.T. Morgan, T.O. Seppa and Huu-Minh Nguyen and has published in prestigious journals such as IEEE Transactions on Smart Grid, Neurocomputing and Energies.

In The Last Decade

Javier Iglesias

22 papers receiving 329 citations

Author Peers

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

Author						Papers	Cites
Javier Iglesias	178	149	107	51	49	23	340
A. Pugh	111 0.6×	77 0.5×	26 0.2×	16 0.3×	18 0.4×	29	381
Mark A. Tarbell	63 0.4×	40 0.3×	31 0.3×	47 0.9×	58 1.2×	45	357
Mathias Hudoba de Badyn	102 0.6×	70 0.5×	20 0.2×	27 0.5×	4 0.1×	23	337
Jonathan Becedas	63 0.4×	258 1.7×	62 0.6×	25 0.5×	16 0.3×	29	377
R. de la Rosa	69 0.4×	52 0.3×	214 2.0×	7 0.1×	30 0.6×	20	368
C. Gielen	37 0.2×	49 0.3×	130 1.2×	146 2.9×	32 0.7×	16	389
Yina Guo	29 0.2×	53 0.4×	85 0.8×	71 1.4×	21 0.4×	46	385
Peng Zhou	232 1.3×	115 0.8×	58 0.5×	38 0.7×	49 1.0×	36	351
Xin Li	77 0.4×	33 0.2×	61 0.6×	38 0.7×	15 0.3×	36	305
Shengyuan Zhou	213 1.2×	25 0.2×	38 0.4×	123 2.4×	23 0.5×	14	376

Countries citing papers authored by Javier Iglesias

Since Specialization

Citations

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

Fields of papers citing papers by Javier Iglesias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Iglesias

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