Andrea Rivas

44 total papers · 581 total citations
20 papers, 367 citations indexed

About

Andrea Rivas is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Andrea Rivas has authored 20 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Andrea Rivas's work include Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Lipoproteins and Cardiovascular Health (8 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Andrea Rivas is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Lipoproteins and Cardiovascular Health (8 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Andrea Rivas collaborates with scholars based in United States, Italy and Austria. Andrea Rivas's co-authors include Latonya Been, Fabiana Rollini, Francesco Franchi, Dominick J. Angiolillo, Siva Suryadevara, Daniel Soffer, Martin M. Zenni, Theodore A. Bass, Andrés M. Pineda and Zubair Shaikh and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Thrombosis and Haemostasis.

In The Last Decade

Andrea Rivas

18 papers receiving 360 citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Rivas 296 152 74 61 18 20 367
Sai Nudurupati 233 0.8× 123 0.8× 46 0.6× 64 1.0× 20 1.1× 19 349
Olivier Barthélemy 348 1.2× 180 1.2× 62 0.8× 66 1.1× 16 0.9× 15 415
Orsolya Rideg 247 0.8× 152 1.0× 77 1.0× 42 0.7× 19 1.1× 15 349
Nikolaos Patsourakos 204 0.7× 123 0.8× 54 0.7× 38 0.6× 7 0.4× 21 340
Hang Yuan 333 1.1× 199 1.3× 108 1.5× 66 1.1× 7 0.4× 16 413
Olga von Beckerath 287 1.0× 148 1.0× 74 1.0× 66 1.1× 11 0.6× 20 379
Tatsuji Kanoh 192 0.6× 230 1.5× 17 0.2× 36 0.6× 18 1.0× 24 423
Tadao Goto 135 0.5× 90 0.6× 19 0.3× 79 1.3× 11 0.6× 14 360
Udo Steigerwald 176 0.6× 94 0.6× 75 1.0× 68 1.1× 8 0.4× 17 398
Spyros K. Argyrakis 260 0.9× 110 0.7× 26 0.4× 29 0.5× 6 0.3× 17 339

Countries citing papers authored by Andrea Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Rivas

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