Michal Mikl

2.2k citations
81 papers · 1.6k indexed · h-index 23
Topics
Functional Brain Connectivity Studies (51 papers)EEG and Brain-Computer Interfaces (19 papers)Neural dynamics and brain function (18 papers)

In The Last Decade

Michal Mikl

72 papers receiving 1.6k citations

Peers

Michal Mikl
Comparison fields: 5 of 94
  • Cognitive Neuroscience 1.2k
  • Radiology, Nuclear Medicine and Imaging 434
  • Psychiatry and Mental health 411
  • Neurology 345
  • Cellular and Molecular Neuroscience 189
Replace Radek Mareček with:
Radek Mareček Czechia
Marion Criaud United Kingdom
Xavier Delbeuck France
Bram B. Zandbelt Netherlands
Julianna F. Bates United States
Mai-Anh Vu United States
Estela Càmara Spain
Doug Greve United States
Rumana Chowdhury United Kingdom
René Scheeringa Netherlands
Michal Mikl relative to Radek Mareček Czechia Radek Mareček's profile →
Citations per field
00.5×1.5×
Radek Mareček · 1×
Citations per year

Countries citing papers authored by Michal Mikl

Since Specialization
Citations

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

Fields of papers citing papers by Michal Mikl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Mikl

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Mikl. A scholar is included among the top collaborators of Michal Mikl 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 Michal Mikl. Michal Mikl 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 0
2 0
3 11
4 1
5 8
6 15
7 15
8 23
9 4
10 13
11
Dataset exploration tool for fMRI group analysis
2
12 41
13
Prefrontal but not temporal gray matter changes in males withfirst-episode schizophrenia
0
14 50
15 232
16
Funkční magnetická rezonance - úvod do problematiky
0
17 38
18 30
19
Optimization of fMRI Group Analysis Using Various SpatialSmoothing Parameters
1
20
Intracerebral ERP correlated with fMRI findings in the study of auditory oddball paradigms
0

About Michal Mikl

Michal Mikl is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (51 papers), EEG and Brain-Computer Interfaces (19 papers) and Neural dynamics and brain function (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Psychiatry and Mental health (411 citations) and Neurology (345 citations). Michal Mikl has collaborated with scholars based in Czechia, United States and Canada. Frequent co-authors include Radek Mareček, Milan Brázdil, Irena Rektorová, Petr Krůpa, Ivan Rektor, L. Krajčovičová, Pavel Chlebus, Petr Hluštı́k, Marta Pažourková and Tomáš Kašpárek. Their work appears in journals such as NeuroImage, Scientific Reports and Experimental Brain Research.

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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