Danuta Makowiec

115 total papers · 803 total citations
72 papers, 546 citations indexed

About

Danuta Makowiec is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Danuta Makowiec has authored 72 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 25 papers in Economics and Econometrics and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Danuta Makowiec's work include Complex Systems and Time Series Analysis (25 papers), Heart Rate Variability and Autonomic Control (24 papers) and Cellular Automata and Applications (14 papers). Danuta Makowiec is often cited by papers focused on Complex Systems and Time Series Analysis (25 papers), Heart Rate Variability and Autonomic Control (24 papers) and Cellular Automata and Applications (14 papers). Danuta Makowiec collaborates with scholars based in Poland, Japan and Germany. Danuta Makowiec's co-authors include Andrzej Rynkiewicz, Rafał Gałąska, Zbigniew R. Struzik, Marta Żarczyńska-Buchowiecka, P. Gnaciński, Beata Graff, Joanna Wdowczyk‐Szulc, W. Miklaszewski, Robert Alicki and Grzegorz Graff and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Danuta Makowiec

70 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Danuta Makowiec 219 218 155 86 57 72 546
Srimonti Dutta 369 1.7× 22 0.1× 215 1.4× 65 0.8× 22 0.4× 42 534
Renate Wackerbauer 79 0.4× 23 0.1× 270 1.7× 123 1.4× 21 0.4× 24 460
Yue Yang 292 1.3× 14 0.1× 254 1.6× 47 0.5× 12 0.2× 27 467
Ryan G. James 72 0.3× 11 0.1× 159 1.0× 135 1.6× 27 0.5× 21 457
Leonardo Angelini 43 0.2× 65 0.3× 104 0.7× 286 3.3× 24 0.4× 51 599
Zenonas Navickas 23 0.1× 63 0.3× 216 1.4× 30 0.3× 26 0.5× 80 466
Jean‐Marc Bardet 281 1.3× 18 0.1× 70 0.5× 26 0.3× 15 0.3× 49 581
María Victoria Sebastián 55 0.3× 24 0.1× 140 0.9× 112 1.3× 13 0.2× 40 465
Jacob Levitan 65 0.3× 176 0.8× 153 1.0× 26 0.3× 100 1.8× 53 511
A.M. Kowalski 200 0.9× 12 0.1× 336 2.2× 57 0.7× 7 0.1× 39 481

Countries citing papers authored by Danuta Makowiec

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Makowiec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Makowiec

This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Makowiec. A scholar is included among the top collaborators of Danuta Makowiec 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 Danuta Makowiec. Danuta Makowiec 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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2026