Alessandra Riva

31 total papers · 413 total citations
15 papers, 316 citations indexed

About

Alessandra Riva is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alessandra Riva has authored 15 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alessandra Riva's work include Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (4 papers) and Advanced MRI Techniques and Applications (3 papers). Alessandra Riva is often cited by papers focused on Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (4 papers) and Advanced MRI Techniques and Applications (3 papers). Alessandra Riva collaborates with scholars based in Italy, Germany and United States. Alessandra Riva's co-authors include Daniela Pogliani, Andrea Faini, Simonetta Genovesi, Maria Grazia Valsecchi, Francesca Stefani, G. Buccianti, Andréa Stella, Giuseppe Bonforte, Antonio Vincenti and Francesco Sturla and has published in prestigious journals such as Journal of Biomechanics, American Journal of Kidney Diseases and Journal of Magnetic Resonance Imaging.

In The Last Decade

Alessandra Riva

14 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Alessandra Riva	240	46	46	42	33	15	316
Mark Castellani	264 1.1×	27 0.6×	104 2.3×	28 0.7×	71 2.2×	18	360
Devin W. Kehl	152 0.6×	17 0.4×	38 0.8×	57 1.4×	138 4.2×	13	324
Valérie Gaudreault	224 0.9×	26 0.6×	36 0.8×	14 0.3×	85 2.6×	16	288
R D Thomas	273 1.1×	36 0.8×	85 1.8×	10 0.2×	88 2.7×	17	334
J Vandenbogaerde	153 0.6×	10 0.2×	33 0.7×	37 0.9×	101 3.1×	20	277
A. Tybjærg Hansen	154 0.6×	15 0.3×	29 0.6×	35 0.8×	112 3.4×	19	345
Peter Puleo	308 1.3×	31 0.7×	160 3.5×	25 0.6×	57 1.7×	13	366
William C. Groh	255 1.1×	10 0.2×	40 0.9×	13 0.3×	53 1.6×	9	328
Andreas Roos	262 1.1×	25 0.5×	148 3.2×	21 0.5×	78 2.4×	29	337
Laith Alkukhun	171 0.7×	23 0.5×	13 0.3×	39 0.9×	44 1.3×	20	287

Countries citing papers authored by Alessandra Riva

Since Specialization

Citations

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

Fields of papers citing papers by Alessandra Riva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Riva

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