Mario Goessl

66 total papers · 425 total citations
18 papers, 141 citations indexed

About

Mario Goessl is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mario Goessl has authored 18 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mario Goessl's work include Cardiac Valve Diseases and Treatments (12 papers), Infective Endocarditis Diagnosis and Management (4 papers) and Cardiac pacing and defibrillation studies (3 papers). Mario Goessl is often cited by papers focused on Cardiac Valve Diseases and Treatments (12 papers), Infective Endocarditis Diagnosis and Management (4 papers) and Cardiac pacing and defibrillation studies (3 papers). Mario Goessl collaborates with scholars based in United States, Egypt and Japan. Mario Goessl's co-authors include Paul Sorajja, Santiago García, João L. Cavalcante, Ross Garberich, Steven M. Bradley, Abhiram Prasad, Victor Cheng, Rajiv Gulati, Sammy Elmariah and Go Hashimoto and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

Mario Goessl

15 papers receiving 138 citations

Author Peers

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

Author						Papers	Cites
Mario Goessl	101	50	44	40	20	18	141
Chiara Chiti	190 1.9×	31 0.6×	32 0.7×	51 1.3×	10 0.5×	12	257
Karine Warin‐Fresse	121 1.2×	63 1.3×	36 0.8×	59 1.5×	70 3.5×	19	234
Se-Whan Lee	73 0.7×	54 1.1×	81 1.8×	63 1.6×	42 2.1×	17	181
Sebastian Rosch	165 1.6×	40 0.8×	43 1.0×	36 0.9×	24 1.2×	18	238
Mehmed Kulić	115 1.1×	14 0.3×	39 0.9×	17 0.4×	19 0.9×	24	155
Isabel G. Scalia	160 1.6×	28 0.6×	40 0.9×	99 2.5×	55 2.8×	32	222
Fabien Labombarda	197 2.0×	37 0.7×	53 1.2×	29 0.7×	72 3.6×	20	237
Mohammad Hussain	31 0.3×	26 0.5×	36 0.8×	35 0.9×	51 2.5×	18	152
J.J.R. Reguero	149 1.5×	30 0.6×	32 0.7×	13 0.3×	32 1.6×	20	236
Christopher J. Mullin	94 0.9×	33 0.7×	52 1.2×	15 0.4×	152 7.6×	25	238

Countries citing papers authored by Mario Goessl

Since Specialization

Citations

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

Fields of papers citing papers by Mario Goessl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Goessl

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