J.-L. Martí–Vilalta

25 total papers · 738 total citations
14 papers, 553 citations indexed

About

J.-L. Martí–Vilalta is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J.-L. Martí–Vilalta has authored 14 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 6 papers in Epidemiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J.-L. Martí–Vilalta's work include Acute Ischemic Stroke Management (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Neurological and metabolic disorders (3 papers). J.-L. Martí–Vilalta is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Neurological and metabolic disorders (3 papers). J.-L. Martí–Vilalta collaborates with scholars based in Spain, United States and Brazil. J.-L. Martí–Vilalta's co-authors include Adrià Arboix, Joan Martí‐Fàbregas, J.H. de Gea-García, R. Belvís, Dolores Cocho, Sergi Martínez‐Ramírez, Ulises Gómez‐Pinedo, Elena Jiménez‐Xarrié, Rebeca Marín and José Manuel García‐Verdugo and has published in prestigious journals such as Neurology, Stroke and European Journal of Neurology.

In The Last Decade

J.-L. Martí–Vilalta

14 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
J.-L. Martí–Vilalta 243 159 149 111 105 14 553
Jeffrey Minuk 195 0.8× 110 0.7× 90 0.6× 39 0.4× 192 1.8× 20 584
Qiushi Lv 152 0.6× 120 0.8× 95 0.6× 55 0.5× 108 1.0× 24 584
Agnieszka Ardelt 126 0.5× 180 1.1× 86 0.6× 55 0.5× 70 0.7× 33 602
Lise A. Labiche 357 1.5× 178 1.1× 187 1.3× 17 0.2× 101 1.0× 11 611
Ron Liebkind 188 0.8× 112 0.7× 106 0.7× 19 0.2× 65 0.6× 26 526
Christopher Voll 145 0.6× 138 0.9× 136 0.9× 37 0.3× 98 0.9× 12 668
Grahame Gould 116 0.5× 230 1.4× 154 1.0× 49 0.4× 18 0.2× 33 656
Erica C. Henning 201 0.8× 129 0.8× 117 0.8× 16 0.1× 180 1.7× 16 590
Rebecca Persky 140 0.6× 38 0.2× 56 0.4× 61 0.5× 184 1.8× 15 670
Sylvie De Raedt 185 0.8× 136 0.9× 59 0.4× 21 0.2× 91 0.9× 29 499

Countries citing papers authored by J.-L. Martí–Vilalta

Since Specialization
Citations

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

Fields of papers citing papers by J.-L. Martí–Vilalta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-L. Martí–Vilalta. 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 J.-L. Martí–Vilalta. The network helps show where J.-L. Martí–Vilalta may publish in the future.

Co-authorship network of co-authors of J.-L. Martí–Vilalta

This figure shows the co-authorship network connecting the top 25 collaborators of J.-L. Martí–Vilalta. A scholar is included among the top collaborators of J.-L. Martí–Vilalta 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 J.-L. Martí–Vilalta. J.-L. Martí–Vilalta 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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