Martin Reindl

172 total papers · 1.9k total citations
83 papers, 1.1k citations indexed

About

Martin Reindl is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Martin Reindl has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cardiology and Cardiovascular Medicine, 58 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Surgery. Recurrent topics in Martin Reindl's work include Cardiac Imaging and Diagnostics (56 papers), Acute Myocardial Infarction Research (44 papers) and Cardiovascular Function and Risk Factors (24 papers). Martin Reindl is often cited by papers focused on Cardiac Imaging and Diagnostics (56 papers), Acute Myocardial Infarction Research (44 papers) and Cardiovascular Function and Risk Factors (24 papers). Martin Reindl collaborates with scholars based in Austria, Germany and United Kingdom. Martin Reindl's co-authors include Sebastian J. Reinstadler, Bernhard Metzler, Gert Klug, Agnes Mayr, Hans‐Josef Feistritzer, Christina Tiller, Magdalena Holzknecht, Axel Bauer, Ivan Lechner and Johannes Mair and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Kidney International.

In The Last Decade

Martin Reindl

79 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Martin Reindl	871	542	267	141	87	83	1.1k
Luisa De Gennaro	927 1.1×	335 0.6×	289 1.1×	124 0.9×	85 1.0×	92	1.3k
Makoto Akaishi	818 0.9×	301 0.6×	258 1.0×	203 1.4×	81 0.9×	56	1.2k
Alon Eisen	807 0.9×	239 0.4×	340 1.3×	117 0.8×	114 1.3×	95	1.2k
Benoît Lattuca	628 0.7×	255 0.5×	314 1.2×	141 1.0×	112 1.3×	85	966
Berrin Umman	795 0.9×	343 0.6×	372 1.4×	69 0.5×	71 0.8×	71	1.1k
Amardeep Ghosh Dastidar	832 1.0×	550 1.0×	219 0.8×	67 0.5×	65 0.7×	77	1.1k
Milika Ašanin	872 1.0×	275 0.5×	298 1.1×	58 0.4×	85 1.0×	103	1.1k
Paolo Colonna	953 1.1×	371 0.7×	207 0.8×	183 1.3×	132 1.5×	103	1.2k
Gyo‐Seung Hwang	953 1.1×	459 0.8×	511 1.9×	108 0.8×	83 1.0×	86	1.3k
Michel Zeitouni	721 0.8×	255 0.5×	546 2.0×	116 0.8×	53 0.6×	68	1.2k

Countries citing papers authored by Martin Reindl

Since Specialization

Citations

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

Fields of papers citing papers by Martin Reindl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Reindl

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