Natalia Bielczyk

42 total papers · 1.2k total citations
17 papers, 248 citations indexed

About

Natalia Bielczyk is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Natalia Bielczyk has authored 17 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Statistical and Nonlinear Physics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Natalia Bielczyk's work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (6 papers) and Mental Health Research Topics (2 papers). Natalia Bielczyk is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (6 papers) and Mental Health Research Topics (2 papers). Natalia Bielczyk collaborates with scholars based in Netherlands, United Kingdom and Poland. Natalia Bielczyk's co-authors include Jan K. Buitelaar, Jeffrey Glennon, Urszula Foryś, Sebo Uithol, Paul Anderson, Tim van Mourik, Marek Bodnar, Christian F. Beckmann, Tadeusz Płatkowski and Alberto Llera and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Natalia Bielczyk

16 papers receiving 233 citations

Author Peers

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

Author Last Decade Papers Cites
Natalia Bielczyk 125 42 36 35 34 17 248
Jesús Adrián‐Ventura 174 1.4× 44 1.0× 32 0.9× 27 0.8× 8 0.2× 26 297
Rotem Botvinik‐Nezer 133 1.1× 25 0.6× 29 0.8× 31 0.9× 10 0.3× 14 212
Alexey Ivanitsky 221 1.8× 47 1.1× 7 0.2× 22 0.6× 8 0.2× 28 301
James W. Madole 141 1.1× 17 0.4× 86 2.4× 29 0.8× 6 0.2× 15 275
Elisabet Blok 105 0.8× 20 0.5× 37 1.0× 60 1.7× 49 1.4× 22 301
Megan Ichinose 164 1.3× 42 1.0× 8 0.2× 48 1.4× 6 0.2× 24 321
Danilo Fum 103 0.8× 31 0.7× 10 0.3× 28 0.8× 3 0.1× 23 321
Carolin Ligges 180 1.4× 13 0.3× 24 0.7× 7 0.2× 3 0.1× 24 307
Danyal Akarca 77 0.6× 7 0.2× 11 0.3× 9 0.3× 7 0.2× 26 166
Tomáš Melicher 86 0.7× 12 0.3× 67 1.9× 24 0.7× 6 0.2× 12 171

Countries citing papers authored by Natalia Bielczyk

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Bielczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Bielczyk

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