Aureliu Lavric

2.2k citations
48 papers · 1.7k indexed · h-index 20

Aureliu Lavric

46 papers receiving 1.6k citations

Peers

Aureliu Lavric
Comparison fields: 5 of 114
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 474
  • Developmental and Educational Psychology 411
  • General Decision Sciences 41
  • Applied Psychology 73
Replace Bernhard Pastötter with:
Bernhard Pastötter Germany
Christopher H. Chatham United States
Kevin P. Madore United States
Daniël Schreij Netherlands
Anat Maril Israel
James M. Broadway United States
Daniel J. Schad Germany
J. Bruce Morton Canada
Jonathan R. Folstein United States
Peter E. Wais United States
Aureliu Lavric relative to Bernhard Pastötter Germany Bernhard Pastötter's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aureliu Lavric

Since Specialization
Citations

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

Fields of papers citing papers by Aureliu Lavric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20213
4 201663
5 201618
6 201533
7 201515
8 201439
9 201479
10
Face recognition and brain potentials: Disruption of configural information reduces the face inversion effect.
20123
11
The face inversion effect and evoked brain potentials: Complete loss of configural information affects the N170
20124
12 20106
13 201039
14 200834
15 2008101
16 2006287
17 200611
18 2004179
19 200128
20 200119

About Aureliu Lavric

Aureliu Lavric is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (31 papers), EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (9 papers), Neurobiology of Language and Bilingualism (8 papers), Face Recognition and Perception (7 papers), Visual perception and processing mechanisms (6 papers), Reading and Literacy Development (6 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Experimental and Cognitive Psychology (474 citations) and Developmental and Educational Psychology (411 citations). Aureliu Lavric has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Diego A. Pizzagalli, Stephen Monsell, Simon Forstmeier, Kathleen Rastle, Heike Elchlepp, Gina Rippon, Richard J. Davidson, Alexander J. Shackman, Issidoros Sarinopoulos and Jeffrey S. Maxwell. Their work appears in journals such as NeuroImage, Trends in Cognitive Sciences and Psychological Science.

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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