Aurelia Grosu

39 total papers · 1.0k total citations
20 papers, 149 citations indexed

About

Aurelia Grosu is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases and Surgery. According to data from OpenAlex, Aurelia Grosu has authored 20 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 2 papers in Infectious Diseases and 2 papers in Surgery. Recurrent topics in Aurelia Grosu's work include Cardiovascular Function and Risk Factors (7 papers), Heart Failure Treatment and Management (7 papers) and Cardiac pacing and defibrillation studies (3 papers). Aurelia Grosu is often cited by papers focused on Cardiovascular Function and Risk Factors (7 papers), Heart Failure Treatment and Management (7 papers) and Cardiac pacing and defibrillation studies (3 papers). Aurelia Grosu collaborates with scholars based in Italy, United States and Netherlands. Aurelia Grosu's co-authors include Michele Senni, Mauro Gori, Tonino Bombardini, Eugenio Picano, Attilio Iacovoni, Antonello Gavazzi, Alice Calabrese, Alessandra Fontana, Paola Ferrari and Renata De Maria and has published in prestigious journals such as European Heart Journal, European Journal of Heart Failure and International Journal of Cardiology.

In The Last Decade

Aurelia Grosu

18 papers receiving 147 citations

Author Peers

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

Author Last Decade Papers Cites
Aurelia Grosu 116 38 20 19 11 20 149
Shadi Akhtari 122 1.1× 40 1.1× 14 0.7× 18 0.9× 14 1.3× 20 236
Djawid Hashemi 205 1.8× 77 2.0× 21 1.1× 37 1.9× 10 0.9× 27 247
Elena Díaz-Peláez 113 1.0× 68 1.8× 11 0.6× 22 1.2× 8 0.7× 22 151
Jonas Lehmacher 134 1.2× 54 1.4× 11 0.6× 39 2.1× 9 0.8× 24 168
Ewa Pilichowska‐Paszkiet 180 1.6× 44 1.2× 18 0.9× 19 1.0× 5 0.5× 16 217
Lucian Câlmâc 119 1.0× 51 1.3× 15 0.8× 51 2.7× 7 0.6× 21 162
Ursina Honegger 130 1.1× 65 1.7× 31 1.6× 40 2.1× 15 1.4× 14 187
Eusebio García‐Izquierdo 232 2.0× 91 2.4× 17 0.8× 39 2.1× 10 0.9× 25 251
Arantxa Barandiarán Aizpurua 235 2.0× 33 0.9× 19 0.9× 29 1.5× 9 0.8× 17 266
P. Stürzenhofecker 106 0.9× 36 0.9× 18 0.9× 81 4.3× 5 0.5× 21 152

Countries citing papers authored by Aurelia Grosu

Since Specialization
Citations

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

Fields of papers citing papers by Aurelia Grosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurelia Grosu

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