Virginia Becerra

29 total papers · 655 total citations
15 papers, 449 citations indexed

About

Virginia Becerra is a scholar working on Economics and Econometrics, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Virginia Becerra has authored 15 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Virginia Becerra's work include Health Systems, Economic Evaluations, Quality of Life (7 papers), Acute Ischemic Stroke Management (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Virginia Becerra is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (7 papers), Acute Ischemic Stroke Management (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Virginia Becerra collaborates with scholars based in Spain, United States and Mexico. Virginia Becerra's co-authors include José Álvarez‐Sabín, Núria González-Rojas, Juan Oliva, Manuel Quintana, Javier Mar, Joan Carles Reverter, José María Lobos, Itziar Oyagüez, Antoni Martínez‐Rubio and José Ramón González‐Juanatey and has published in prestigious journals such as Stroke, Psychiatric Services and BMJ Open.

In The Last Decade

Virginia Becerra

14 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Virginia Becerra	161	117	105	103	58	15	449
George Tran	135 0.8×	152 1.3×	51 0.5×	118 1.1×	33 0.6×	19	478
Tiffany Chang	328 2.0×	26 0.2×	109 1.0×	100 1.0×	22 0.4×	14	487
Gordon Gubitz	115 0.7×	28 0.2×	99 0.9×	226 2.2×	30 0.5×	16	406
S.C. Johnston	202 1.3×	30 0.3×	60 0.6×	176 1.7×	18 0.3×	15	500
Angela Wadham	129 0.8×	134 1.1×	35 0.3×	85 0.8×	20 0.3×	24	448
Elisabetta Fenu	56 0.3×	107 0.9×	37 0.4×	167 1.6×	26 0.4×	18	405
Judith Frayne	127 0.8×	35 0.3×	144 1.4×	320 3.1×	45 0.8×	18	508
Núria González-Rojas	256 1.6×	88 0.8×	95 0.9×	140 1.4×	45 0.8×	18	551
Lesley Maisch	265 1.6×	38 0.3×	62 0.6×	220 2.1×	23 0.4×	10	425
Dan Lackland	103 0.6×	26 0.2×	155 1.5×	226 2.2×	38 0.7×	9	418

Countries citing papers authored by Virginia Becerra

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Becerra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Becerra

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