Urszula Malinowska

482 citations
23 papers · 358 indexed · h-index 10
Topics
EEG and Brain-Computer Interfaces (19 papers)Neural dynamics and brain function (11 papers)Blind Source Separation Techniques (7 papers)

In The Last Decade

Urszula Malinowska

20 papers receiving 346 citations

Peers

Urszula Malinowska
Comparison fields: 5 of 51
  • Cognitive Neuroscience 301
  • Psychiatry and Mental health 87
  • Cellular and Molecular Neuroscience 63
  • Signal Processing 61
  • Epidemiology 41
Replace Paulo Afonso Medeiros Kanda with:
Paulo Afonso Medeiros Kanda Brazil
Johannes Koren Austria
Pearce Korb United States
Giulia Varotto Italy
Rajeev Yadav Canada
R. Fronsko Australia
Simone Carozzo Italy
William E. Lievens United States
Armin Nikpour Australia
Anna Caterina Merzagora United States
Urszula Malinowska relative to Paulo Afonso Medeiros Kanda Brazil Paulo Afonso Medeiros Kanda's profile →
Citations per field
00.5×2.6×
Paulo Afonso Medeiros Kanda · 1×
Citations per year

Countries citing papers authored by Urszula Malinowska

Since Specialization
Citations

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

Fields of papers citing papers by Urszula Malinowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urszula Malinowska

This figure shows the co-authorship network connecting the top 25 collaborators of Urszula Malinowska. A scholar is included among the top collaborators of Urszula Malinowska 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 Urszula Malinowska. Urszula Malinowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 11
5 4
6 8
7 6
8 0
9 4
10 17
11 73
12 63
13 6
14 45
15 5
16 11
17 18
18 7
19 40
20 22

About Urszula Malinowska

Urszula Malinowska is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 358 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (11 papers) and Blind Source Separation Techniques (7 papers). The work is most often cited by research in Cognitive Neuroscience (301 citations), Signal Processing (61 citations) and Psychiatry and Mental health (87 citations). Urszula Malinowska has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Piotr Durka, Jaroslaw Harezlak, Christophe C. Jouny, Gregory K. Bergey, Waldemar Szelenberger, Katarzyna J. Blinowska, Fabrice Bartoloméi, Martine Gavaret, Patrick Chauvel and Jean‐Michel Badier. Their work appears in journals such as PLoS ONE, Scientific Reports and Sensors.

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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