Burkhard Sievers

62 total papers · 1.5k total citations
33 papers, 879 citations indexed

About

Burkhard Sievers is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Burkhard Sievers has authored 33 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Burkhard Sievers's work include Cardiac Imaging and Diagnostics (25 papers), Advanced MRI Techniques and Applications (20 papers) and Cardiovascular Function and Risk Factors (15 papers). Burkhard Sievers is often cited by papers focused on Cardiac Imaging and Diagnostics (25 papers), Advanced MRI Techniques and Applications (20 papers) and Cardiovascular Function and Risk Factors (15 papers). Burkhard Sievers collaborates with scholars based in Germany, United States and United Kingdom. Burkhard Sievers's co-authors include Ulrich Franken, Hans‐Joachim Trappe, H.-J. Trappe, Jörg Barkhausen, Raimund Erbel, Bodo Brandts, Stefan Möhlenkamp, Frank Breuckmann, Kai Naßenstein and Axel Schmermund and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Burkhard Sievers

32 papers receiving 855 citations

Author Peers

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

Author						Papers	Cites
Burkhard Sievers	737	482	112	110	89	33	879
Enver Tahir	548 0.7×	369 0.8×	48 0.4×	64 0.6×	99 1.1×	56	754
Sebastian Bohnen	658 0.9×	406 0.8×	34 0.3×	100 0.9×	117 1.3×	26	790
Katarina Steding‐Ehrenborg	501 0.7×	308 0.6×	179 1.6×	159 1.4×	106 1.2×	48	733
Maxim Avanesov	536 0.7×	330 0.7×	90 0.8×	163 1.5×	191 2.1×	47	890
John Biglands	390 0.5×	529 1.1×	66 0.6×	108 1.0×	122 1.4×	53	956
Paulo R. Schvartzman	366 0.5×	294 0.6×	251 2.2×	98 0.9×	169 1.9×	29	759
Gary W. Burggraf	881 1.2×	298 0.6×	109 1.0×	80 0.7×	286 3.2×	32	1.0k
Doumit Daou	353 0.5×	383 0.8×	106 0.9×	335 3.0×	100 1.1×	41	880
Michael D. Falkoff	662 0.9×	191 0.4×	96 0.9×	24 0.2×	168 1.9×	40	747
Jianwen Wang	960 1.3×	409 0.8×	70 0.6×	73 0.7×	124 1.4×	17	1.0k

Countries citing papers authored by Burkhard Sievers

Since Specialization

Citations

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

Fields of papers citing papers by Burkhard Sievers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burkhard Sievers

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