Eva Janoušová

816 citations
31 papers · 576 · h-index 12

Impact in

Papers in

Eva Janoušová

31 papers receiving 571 citations

Peers

Eva Janoušová
Comparison fields: 5 of 83
  • Cognitive Neuroscience 151
  • Neurology 60
  • Physiology 153
  • Psychiatry and Mental health 60
  • Signal Processing 47
Replace Jing Wan with:
Jing Wan China
Barış Baklan Türkiye
Daniel J. Myall New Zealand
Michael I. Miller United States
Yunxia Li China
Ivor Simpson United Kingdom
Mohammed Goryawala United States
Florent Aubry France
Jeffrey E. Arle United States
Maite García‐Sebastián Spain
Eva Janoušová relative to Jing Wan China Jing Wan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Janoušová

Since Specialization
Citations

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

Fields of papers citing papers by Eva Janoušová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Janoušová, 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 Eva Janoušová Line = papers co-authored together Eva Janoušová links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 201592
3 201262
4 201543
5 201640
6 201135
7 201433
8 201524
9 201321
10 201521
11 201511
12 201211
13 201611
14 20148
15 20168
16 20147
17 20126
18 20166
19 20114
20 20114

About Eva Janoušová

Eva Janoušová is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Physiology and Molecular Biology, having authored 31 papers that have together received 576 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Dementia and Cognitive Impairment Research (4 papers), Epilepsy research and treatment (3 papers), Voice and Speech Disorders (3 papers), Alzheimer's disease research and treatments (2 papers), Blind Source Separation Techniques (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (151 citations), Neurology (60 citations), Physiology (153 citations), Psychiatry and Mental health (60 citations) and Signal Processing (47 citations). Eva Janoušová has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Giovanni Montana, Paul M. Thompson, Irena Rektorová, Ilona Eliasova, Daniel Schwarz, Tomáš Kašpárek, Radek Mareček, Maria Vounou, Daniel Rueckert and Milena Košťálová. Their work appears in journals such as Epilepsy & Behavior, Clinical Neurophysiology, Psychiatry Research Neuroimaging, NeuroImage and Journal of Alzheimer s Disease.

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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