Milena Rabovsky

1.3k citations
32 papers · 700 · h-index 14

Impact in

Papers in

Milena Rabovsky

29 papers receiving 691 citations

Peers

Milena Rabovsky
Comparison fields: 5 of 62
  • Cognitive Neuroscience 595
  • Developmental and Educational Psychology 256
  • Experimental and Cognitive Psychology 215
  • Social Psychology 100
  • Artificial Intelligence 100
Replace Mark Yates with:
Mark Yates United States
Anne Keitel United Kingdom
Rasha Abdel Rahman Germany
Phillip M. Alday Netherlands
Jakub Szewczyk Poland
Benny B. Briesemeister Germany
Cástor Méndez Paz Spain
Michael D. Anes United States
Nicole Y.Y. Wicha United States
Louisa Bogaerts Belgium
Milena Rabovsky relative to Mark Yates United States Mark Yates's profile →
Citations per field
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Mark Yates · 1×
Citations per year

Countries citing papers authored by Milena Rabovsky

Since Specialization
Citations

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

Fields of papers citing papers by Milena Rabovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018155
2 201497
3 201461
4 201253
5 201947
6 201541
7 201132
8 201830
9 201121
10 202120
11 201919
12 201619
13 200817
14 202016
15 202011
16 201911
17 202111
18
Meaning in brains and machines: Internal activation update in large-scale language model partially reflects the N400 brain potential
20216
19 20236
20 20226

About Milena Rabovsky

Milena Rabovsky is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Artificial Intelligence, having authored 32 papers that have together received 700 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (17 papers), Neural and Behavioral Psychology Studies (10 papers), Reading and Literacy Development (9 papers), Action Observation and Synchronization (6 papers), Language, Metaphor, and Cognition (6 papers), EEG and Brain-Computer Interfaces (5 papers), Face Recognition and Perception (4 papers) and Categorization, perception, and language (3 papers). The work is most often cited by research in Cognitive Neuroscience (595 citations), Developmental and Educational Psychology (256 citations), Experimental and Cognitive Psychology (215 citations), Social Psychology (100 citations) and Artificial Intelligence (100 citations). Milena Rabovsky has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Rasha Abdel Rahman, James L. McClelland, Steven Hansen, Ken McRae, Werner Sommer, Daniel J. Schad, Rasha Abdel Rahman, Timo Stein, Carlos J. Álvarez and Annette Hohlfeld. Their work appears in journals such as Journal of Cognitive Neuroscience, PLoS ONE, Journal of Experimental Psychology Learning Memory and Cognition, Cognition and Nature Human Behaviour.

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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