Ivica Matak

1.5k total citations
31 papers, 1.0k citations indexed

About

Ivica Matak is a scholar working on Neurology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Ivica Matak has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 17 papers in Physiology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Ivica Matak's work include Botulinum Toxin and Related Neurological Disorders (26 papers), Pain Mechanisms and Treatments (17 papers) and Neurological disorders and treatments (11 papers). Ivica Matak is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (26 papers), Pain Mechanisms and Treatments (17 papers) and Neurological disorders and treatments (11 papers). Ivica Matak collaborates with scholars based in Croatia, Italy and Germany. Ivica Matak's co-authors include Zdravko Lacković, Lidija Bach‐Rojecky, Boris Filipović, Zsuzsanna Helyes, Kata Bölcskei, Peter Riederer, Ornella Rossetto, Valéria Tékus, Matteo Caleo and Matteo Spinelli and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ivica Matak

27 papers receiving 1000 citations

Peers

Ivica Matak
Comparison fields: 5 of 62
  • Neurology 839
  • Physiology 574
  • Cellular and Molecular Neuroscience 220
  • Pathology and Forensic Medicine 205
  • Psychiatry and Mental health 193
Replace Boris Filipović with:
Boris Filipović Croatia
Fang Luo China
Mónica Povedano Spain
Pierangelo Errico Italy
Arens Taga Italy
Wafa Regragui Morocco
Tabi A. Leslie United Kingdom
Werner Poewe Austria
Anna Potulska‐Chromik Poland
U. Bongenhielm Sweden
Boris Filipović Croatia View profile →
Citations per field, relative to Ivica Matak
Ivica Matak · 1×
Citations per year, relative to Ivica Matak
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Countries citing papers authored by Ivica Matak

Since Specialization
Citations

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

Fields of papers citing papers by Ivica Matak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivica Matak

This figure shows the co-authorship network connecting the top 25 collaborators of Ivica Matak. A scholar is included among the top collaborators of Ivica Matak 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 Ivica Matak. Ivica Matak 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
# Work Indexed citations
1 0
2 0
3 0
4 4
5 4
6 4
7 0
8 8
9 3
10 6
11 33
12 7
13 20
14 130
15 60
16 20
17 81
18 94
19 12
20 156

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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