Magí Lluch-Ariet

44 total papers · 568 total citations
27 papers, 293 citations indexed

About

Magí Lluch-Ariet is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Magí Lluch-Ariet has authored 27 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Magí Lluch-Ariet's work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), ECG Monitoring and Analysis (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Magí Lluch-Ariet is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), ECG Monitoring and Analysis (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Magí Lluch-Ariet collaborates with scholars based in Spain, United States and Sweden. Magí Lluch-Ariet's co-authors include Josep Roca, Felip Burgos, Filip Velickovski, Luigi Ceccaroni, Juan B. Gáldiz, Andrew C. Peet, Paul Lewis, Horacio González–Vélez, Felip Miralles and David Gómez-Cabrero and has published in prestigious journals such as PLoS ONE, Neurology and Journal of Dental Research.

In The Last Decade

Magí Lluch-Ariet

26 papers receiving 281 citations

Author Peers

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

Author Last Decade Papers Cites
Magí Lluch-Ariet 75 66 39 35 34 27 293
Jianhui Wu 42 0.6× 44 0.7× 32 0.8× 33 0.9× 19 0.6× 37 358
Alind Gupta 45 0.6× 40 0.6× 28 0.7× 38 1.1× 23 0.7× 20 290
Laura Elizabeth Bedford 53 0.7× 31 0.5× 15 0.4× 31 0.9× 18 0.5× 28 321
Xuchun Wang 31 0.4× 46 0.7× 51 1.3× 35 1.0× 27 0.8× 24 308
Sheng-Chieh Lu 25 0.3× 68 1.0× 31 0.8× 15 0.4× 54 1.6× 27 329
Mamta Puppala 25 0.3× 92 1.4× 38 1.0× 28 0.8× 70 2.1× 26 361
Ali Behmanesh 24 0.3× 54 0.8× 37 0.9× 78 2.2× 44 1.3× 29 366
Mustafa Khanbhai 36 0.5× 33 0.5× 19 0.5× 9 0.3× 34 1.0× 23 347
Xuan Song 41 0.5× 47 0.7× 26 0.7× 19 0.5× 51 1.5× 28 365
Aditi Gupta 19 0.3× 80 1.2× 38 1.0× 21 0.6× 24 0.7× 17 264

Countries citing papers authored by Magí Lluch-Ariet

Since Specialization
Citations

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

Fields of papers citing papers by Magí Lluch-Ariet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magí Lluch-Ariet. 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 Magí Lluch-Ariet. The network helps show where Magí Lluch-Ariet may publish in the future.

Co-authorship network of co-authors of Magí Lluch-Ariet

This figure shows the co-authorship network connecting the top 25 collaborators of Magí Lluch-Ariet. A scholar is included among the top collaborators of Magí Lluch-Ariet 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 Magí Lluch-Ariet. Magí Lluch-Ariet 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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