Éva Csibri

828 citations
23 papers · 614 indexed · h-index 10

Impact in

Papers in

Éva Csibri

23 papers receiving 605 citations

Peers

Éva Csibri
Comparison fields: 5 of 77
  • Cognitive Neuroscience 396
  • Psychiatry and Mental health 220
  • Neurology 44
  • Cellular and Molecular Neuroscience 76
  • Biological Psychiatry 9
Replace Zoltán Hidasi with:
Zoltán Hidasi Hungary
Pál Salacz Hungary
Sarah Wigman United States
Thomas S. Harris United States
Margherita Carboni Switzerland
Christian Sandøe Musaeus Denmark
Ted Koene Netherlands
Eve Tramoni France
L. Traykov France
Y. Ikejiri Japan
Éva Csibri relative to Zoltán Hidasi Hungary Zoltán Hidasi's profile →
Citations per field
00.5×1.6×
Zoltán Hidasi · 1×
Citations per year

Countries citing papers authored by Éva Csibri

Since Specialization
Citations

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

Fields of papers citing papers by Éva Csibri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 2007124
3 199785
4 201456
5 201734
6 200933
7 201532
8 200730
9 200930
10 201818
11 20039
12 20097
13 20235
14
[Differentiation between mild cognitive impairment and healthy elderly population using neuropsychological tests].
20134
15 20243
16 20033
17
[Movement disorders is psychiatric diseases].
20143
18
[Quantitative EEG analysis in Alzheimer's disease: spectral, coherence and complexity parameters].
20063
19
[Efficacy of deep brain stimulation in our patients with Parkinson's disease].
20133
20 20242

About Éva Csibri

Éva Csibri is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Physiology, Neurology and Neurology, having authored 23 papers that have together received 614 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Functional Brain Connectivity Studies (9 papers), Dementia and Cognitive Impairment Research (5 papers), Alzheimer's disease research and treatments (4 papers), Neural dynamics and brain function (4 papers), Neurological disorders and treatments (3 papers), Memory and Neural Mechanisms (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Cognitive Neuroscience (396 citations), Psychiatry and Mental health (220 citations), Neurology (44 citations), Cellular and Molecular Neuroscience (76 citations) and Biological Psychiatry (9 citations). Éva Csibri has collaborated with scholars based in Hungary, Poland and United States. Frequent co-authors include Zoltán Hidasi, Pál Salacz, Gábor Csukly, Ádám Szabó, Zsófia Anna Gaál, Gábor Rudas, Márk Molnár, Éva Kiss, András Horváth and Márk Molnár. Their work appears in journals such as International Journal of Psychophysiology, Scientific Reports, Frontiers in Aging Neuroscience, Cognitive and Behavioral Neurology and Seizure.

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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