Vladimir Matić

500 citations
33 papers · 375 indexed · h-index 12
Topics
Neonatal and fetal brain pathology (11 papers)EEG and Brain-Computer Interfaces (10 papers)Wireless Communication Networks Research (5 papers)

In The Last Decade

Vladimir Matić

29 papers receiving 364 citations

Peers

Vladimir Matić
Comparison fields: 5 of 64
  • Cognitive Neuroscience 161
  • Pediatrics, Perinatology and Child Health 159
  • Biomedical Engineering 85
  • Signal Processing 58
  • Cardiology and Cardiovascular Medicine 49
Replace Ninah Koolen with:
Ninah Koolen Belgium
Tobias Werther Austria
M. J. Rooijakkers Netherlands
C. Schelenz Germany
James Pardey United Kingdom
Brynjar Karlsson Iceland
Václav Chudáček Czechia
Jiří Spilka Czechia
Siddharth Biswal United States
Miroslav Burša Czechia
Vladimir Matić relative to Ninah Koolen Belgium Ninah Koolen's profile →
Citations per field
00.5×1.7×
Ninah Koolen · 1×
Citations per year

Countries citing papers authored by Vladimir Matić

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Matić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Matić

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Matić. A scholar is included among the top collaborators of Vladimir Matić 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 Vladimir Matić. Vladimir Matić 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 11
2 2
3 27
4 7
5 21
6 6
7 3
8 9
9 2
10 5
11 33
12 1
13 19
14 30
15 49
16 10
17 29
18 13
19 14
20
Comparison of ICA algorithms for ECG artifact removal from EEG signals
14

About Vladimir Matić

Vladimir Matić is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Hepatology, having authored 33 papers that have together received 375 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (11 papers), EEG and Brain-Computer Interfaces (10 papers) and Wireless Communication Networks Research (5 papers). The work is most often cited by research in Computational Mathematics (5 citations), Cognitive Neuroscience (161 citations) and Pediatrics, Perinatology and Child Health (159 citations). Vladimir Matić has collaborated with scholars based in Belgium, Serbia and United Kingdom. Frequent co-authors include Sabine Van Huffel, Maarten De Vos, Gunnar Naulaers, Ninah Koolen, Katrien Jansen, Jan Vervisch, Perumpillichira J. Cherian, Paul Govaert, A Dereymaeker and Sampsa Vanhatalo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and Clinical Neurophysiology.

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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