Sarah Laszlo

2.1k citations
35 papers · 1.6k · h-index 19

Impact in

Papers in

Sarah Laszlo

35 papers receiving 1.6k citations

Peers

Sarah Laszlo
Comparison fields: 5 of 90
  • Cognitive Neuroscience 1.3k
  • Developmental and Educational Psychology 596
  • Experimental and Cognitive Psychology 273
  • Human-Computer Interaction 74
  • Signal Processing 121
Replace Brian Roark with:
Brian Roark United States
Santosh Mathan United States
Joseph Doyle United Kingdom
Cathryn Downing United Kingdom
Mitchell Valdés-Sosa Cuba
Jeannine Pinto United States
L. H. Shaffer United Kingdom
Michiel Spapé Finland
Christian O’Reilly Canada
Sascha Tamm Germany
Sarah Laszlo relative to Brian Roark United States Brian Roark's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sarah Laszlo

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Laszlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009196
2 2010162
3 2015140
4 2016129
5 2009122
6 201999
7 202388
8 201772
9 201472
10 201168
11 201461
12 200757
13 201138
14 200836
15 201632
16 200729
17 201729
18 201427
19 201526
20 201517

About Sarah Laszlo

Sarah Laszlo is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Artificial Intelligence, Information Systems and Social Psychology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reading and Literacy Development (16 papers), Neurobiology of Language and Bilingualism (16 papers), EEG and Brain-Computer Interfaces (15 papers), Neural and Behavioral Psychology Studies (8 papers), Neural dynamics and brain function (5 papers), User Authentication and Security Systems (4 papers), Text Readability and Simplification (4 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Developmental and Educational Psychology (596 citations), Experimental and Cognitive Psychology (273 citations), Human-Computer Interaction (74 citations) and Signal Processing (121 citations). Sarah Laszlo has collaborated with scholars based in United States, Spain and Hungary. Frequent co-authors include Kara D. Federmeier, Zhanpeng Jin, Maria V. Ruiz-Blondet, Blair C. Armstrong, David C. Plaut, Qiong Gui, Kenneth J. Kurtz, Matthew B. Pontifex, Vladimir Miskovic and Mallory Stites. Their work appears in journals such as Psychophysiology, Cognitive Science, Brain and Language, Neuropsychologia and Neurocomputing.

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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