Mónica Rivero-Garvía

694 total citations
58 papers, 419 citations indexed

About

Mónica Rivero-Garvía is a scholar working on Neurology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Mónica Rivero-Garvía has authored 58 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Neurology, 21 papers in Cellular and Molecular Neuroscience and 18 papers in Surgery. Recurrent topics in Mónica Rivero-Garvía's work include Cerebrospinal fluid and hydrocephalus (21 papers), Glioma Diagnosis and Treatment (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (11 papers). Mónica Rivero-Garvía is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (21 papers), Glioma Diagnosis and Treatment (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (11 papers). Mónica Rivero-Garvía collaborates with scholars based in Spain, United States and France. Mónica Rivero-Garvía's co-authors include Javier Márquez-Rivas, Raquel Gutiérrez‐González, G. Rodríguez-Boto, Jiménez-Mejías Me, Olaf Neth, Eloy Rivas, Lola Falcón-Neyra, José Antonio Lepe, Peter Olbrich and José Miguel Cisneros and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and European Spine Journal.

In The Last Decade

Mónica Rivero-Garvía

54 papers receiving 413 citations

Peers

Mónica Rivero-Garvía
Comparison fields: 5 of 55
  • Cellular and Molecular Neuroscience 168
  • Neurology 150
  • Surgery 138
  • Pediatrics, Perinatology and Child Health 72
  • Public Health, Environmental and Occupational Health 72
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Citations per field, relative to Mónica Rivero-Garvía
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Citations per year, relative to Mónica Rivero-Garvía
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Countries citing papers authored by Mónica Rivero-Garvía

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Rivero-Garvía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mónica Rivero-Garvía. 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 Mónica Rivero-Garvía. The network helps show where Mónica Rivero-Garvía may publish in the future.

Co-authorship network of co-authors of Mónica Rivero-Garvía

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 8
3 1
4 5
5 4
6 9
7 4
8 5
9 2
10 4
11 0
12 21
13 2
14 6
15 6
16 23
17 6
18 4
19 11
20 11

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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