Vladimı́r Krajča

1.2k citations
65 papers · 989 · h-index 16

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 37
    • Neural dynamics and brain function 11
    • Functional Brain Connectivity Studies 9
    • Blind Source Separation Techniques 17
    • Time Series Analysis and Forecasting 5

Vladimı́r Krajča

59 papers receiving 937 citations

Peers

Vladimı́r Krajča
Comparison fields: 5 of 84
  • Cognitive Neuroscience 643
  • Biological Psychiatry 39
  • Signal Processing 174
  • Neurology 84
  • Experimental and Cognitive Psychology 105
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Citations per year

Countries citing papers authored by Vladimı́r Krajča

Since Specialization
Citations

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

Fields of papers citing papers by Vladimı́r Krajča

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vladimı́r Krajča, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vladimı́r Krajča Line = papers co-authored together Vladimı́r Krajča links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008106
2 200798
3 201175
4 201075
5 199174
6 200372
7 200343
8 201240
9 200835
10 199135
11 200833
12 200832
13 200525
14
Trazodone improves the results of cognitive behaviour therapy of primary insomnia in non-depressed patients.
200823
15 201120
16 200616
17 201415
18 200414
19 200714
20 199713

About Vladimı́r Krajča

Vladimı́r Krajča is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Biomedical Engineering and Pediatrics, Perinatology and Child Health, having authored 65 papers that have together received 989 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (37 papers), Blind Source Separation Techniques (17 papers), Neural Networks and Applications (12 papers), Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (9 papers), Non-Invasive Vital Sign Monitoring (6 papers), Neonatal and fetal brain pathology (6 papers) and Time Series Analysis and Forecasting (5 papers). The work is most often cited by research in Cognitive Neuroscience (643 citations), Biological Psychiatry (39 citations), Signal Processing (174 citations), Neurology (84 citations) and Experimental and Cognitive Psychology (105 citations). Vladimı́r Krajča has collaborated with scholars based in Czechia, United States and Slovenia. Frequent co-authors include Martin Brunovský, Cyril Höschl, Tomáš Novák, Lenka Lhotská, P. Šóš, Miloslav Kopeček, M Matouŝek, Martin Bareš, Jiřı́ Horáček and Pavla Stopková. Their work appears in journals such as Clinical Neurophysiology, Neuropsychobiology, European Neuropsychopharmacology, European Psychiatry and Sleep Medicine.

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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