Luisa Roveri

2.1k total citations
25 papers, 697 citations indexed

About

Luisa Roveri is a scholar working on Neurology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Luisa Roveri has authored 25 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 10 papers in Epidemiology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Luisa Roveri's work include Acute Ischemic Stroke Management (8 papers), Optical Imaging and Spectroscopy Techniques (5 papers) and Retinal Development and Disorders (4 papers). Luisa Roveri is often cited by papers focused on Acute Ischemic Stroke Management (8 papers), Optical Imaging and Spectroscopy Techniques (5 papers) and Retinal Development and Disorders (4 papers). Luisa Roveri collaborates with scholars based in Italy, United States and United Kingdom. Luisa Roveri's co-authors include Gıancarlo Comı, Valentina Sofia, Caterina Conte, Alberto Maria Saibene, Patrizia Rovere‐Querini, Luigi di Filippo, Rebecca De Lorenzo, Neal S. Peachey, Emanuel Della‐Torre and Richard AC Hughes and has published in prestigious journals such as Journal of the American College of Cardiology, Stroke and Vision Research.

In The Last Decade

Luisa Roveri

22 papers receiving 676 citations

Peers

Luisa Roveri
Comparison fields: 5 of 73
  • Epidemiology 255
  • Neurology 235
  • Rheumatology 171
  • Molecular Biology 137
  • Surgery 114
Replace Shahar Shelly with:
Shahar Shelly United States
Valentina Citton Italy
Evangelia E. Tsironi Greece
Alain Viguier France
Tatsuo Akimura Japan
Albert Larbrisseau Canada
Elizabeth Wraige United Kingdom
Rosario Pascarella Italy
Pasquale F. Finelli United States
Gunnar Moen Norway
Shahar Shelly United States View profile →
Citations per field, relative to Luisa Roveri
Luisa Roveri · 1×
Citations per year, relative to Luisa Roveri
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Countries citing papers authored by Luisa Roveri

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Roveri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Roveri

This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Roveri. A scholar is included among the top collaborators of Luisa Roveri 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 Luisa Roveri. Luisa Roveri 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 3
3 28
4 0
5 0
6 136
7 31
8 22
9 29
10 111
11 26
12 52
13 43
14 6
15 112
16 44
17 2
18 1
19 10
20 31

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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