Liza van Eijk

1.9k citations
15 papers · 214 · h-index 8

Impact in

Papers in

Liza van Eijk

13 papers receiving 208 citations

Peers

Liza van Eijk
Comparison fields: 5 of 67
  • Behavioral Neuroscience 24
  • Cognitive Neuroscience 102
  • Biological Psychiatry 9
  • Urology 21
  • Pediatrics, Perinatology and Child Health 50
Replace Gabriela Matos with:
Gabriela Matos Brazil
Qijing Yu United States
Anna‐Carin Wihlbäck Sweden
Sarah E. McKee United States
Emily K. Clarke‐Rubright United States
Fraser Olsen Canada
Jyri‐Johan Paakki Finland
Alexandra Kleimann Germany
Sara Ambrosino Netherlands
Rose Swansburg Canada
Liza van Eijk relative to Gabriela Matos Brazil Gabriela Matos's profile →
Citations per field
00.5×4.2×
Gabriela Matos · 1×
Citations per year

Countries citing papers authored by Liza van Eijk

Since Specialization
Citations

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

Fields of papers citing papers by Liza van Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liza van Eijk. 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 Liza van Eijk. The network helps show where Liza van Eijk may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202050
2 202241
3 201634
4 200228
5 202121
6 202212
7 20258
8 20218
9
EEG-neurofeedback training and quality of life of institutionalized elderly women (a pilot study).
20175
10 20222
11 20242
12 20152
13 20251
14 20250
15 20250

About Liza van Eijk

Liza van Eijk is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Clinical Psychology, Pulmonary and Respiratory Medicine and Experimental and Cognitive Psychology, having authored 15 papers that have together received 214 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (3 papers), Functional Brain Connectivity Studies (3 papers), Neonatal and fetal brain pathology (2 papers), Infant Development and Preterm Care (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neonatal Respiratory Health Research (2 papers), Psychedelics and Drug Studies (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Behavioral Neuroscience (24 citations), Cognitive Neuroscience (102 citations), Biological Psychiatry (9 citations), Urology (21 citations) and Pediatrics, Perinatology and Child Health (50 citations). Liza van Eijk has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Brendan P. Zietsch, Lachlan T. Strike, Greig I. de Zubicaray, Narelle K. Hansell, Katie L. McMahon, Paul M. Thompson, Margaret J. Wright, Baptiste Couvy‐Duchesne, J. M. Nijman and J. W. Wladimiroff. Their work appears in journals such as NeuroImage, Clinical Neurophysiology, Autism Research, Police Practice and Research and Ultrasound in Obstetrics and Gynecology.

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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