Waldemar Mielecki

48 total papers · 1.1k total citations
37 papers, 693 citations indexed

About

Waldemar Mielecki is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Waldemar Mielecki has authored 37 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 17 papers in Surgery and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Waldemar Mielecki's work include Acute Myocardial Infarction Research (30 papers), Coronary Interventions and Diagnostics (16 papers) and Cardiac Imaging and Diagnostics (15 papers). Waldemar Mielecki is often cited by papers focused on Acute Myocardial Infarction Research (30 papers), Coronary Interventions and Diagnostics (16 papers) and Cardiac Imaging and Diagnostics (15 papers). Waldemar Mielecki collaborates with scholars based in Poland, Italy and Germany. Waldemar Mielecki's co-authors include Dariusz Dudek, Jacek S. Dubiel, Artur Dziewierz, Tomasz Rakowski, Krzysztof Żmudka, Zbigniew Siudak, Andrzej Ochała, Federico Piscione, Leonardo Bolognese and Carlo Di Mario and has published in prestigious journals such as The Lancet, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Waldemar Mielecki

37 papers receiving 648 citations

Author Peers

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

Author						Papers	Cites
Waldemar Mielecki	621	363	265	95	44	37	693
W. Niederer	548 0.9×	306 0.8×	185 0.7×	173 1.8×	44 1.0×	21	690
Lorenzo López Bescós	564 0.9×	205 0.6×	217 0.8×	120 1.3×	21 0.5×	26	668
Youlan L. Gu	605 1.0×	358 1.0×	275 1.0×	75 0.8×	68 1.5×	26	722
Dejan Milašinović	431 0.7×	316 0.9×	262 1.0×	27 0.3×	42 1.0×	56	634
P Limbourg	572 0.9×	297 0.8×	141 0.5×	192 2.0×	51 1.2×	30	747
Guillermo Aldama‐López	396 0.6×	236 0.7×	160 0.6×	48 0.5×	49 1.1×	34	645
K. L. Neuhaus	510 0.8×	292 0.8×	244 0.9×	96 1.0×	35 0.8×	33	565
Timo Lenderink	461 0.7×	210 0.6×	192 0.7×	55 0.6×	36 0.8×	30	624
F Rovelli	585 0.9×	168 0.5×	162 0.6×	70 0.7×	26 0.6×	29	681
Ramón Calviño‐Santos	370 0.6×	189 0.5×	174 0.7×	105 1.1×	55 1.3×	49	615

Countries citing papers authored by Waldemar Mielecki

Since Specialization

Citations

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

Fields of papers citing papers by Waldemar Mielecki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waldemar Mielecki

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