Laura Lakusta

30 total papers · 1.5k total citations
23 papers, 809 citations indexed

About

Laura Lakusta is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Automotive Engineering. According to data from OpenAlex, Laura Lakusta has authored 23 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Developmental and Educational Psychology, 14 papers in Experimental and Cognitive Psychology and 5 papers in Automotive Engineering. Recurrent topics in Laura Lakusta's work include Child and Animal Learning Development (14 papers), Categorization, perception, and language (11 papers) and Language, Metaphor, and Cognition (8 papers). Laura Lakusta is often cited by papers focused on Child and Animal Learning Development (14 papers), Categorization, perception, and language (11 papers) and Language, Metaphor, and Cognition (8 papers). Laura Lakusta collaborates with scholars based in United States, India and United Kingdom. Laura Lakusta's co-authors include Barbara Landau, Rebecca L. Gómez, Laura Wagner, Kirsten O’Hearn, Banchiamlack Dessalegn, Susan Carey, Gerald W. McRoberts, Paul Muentener, Lorraine K. Tyler and Sarah Grice and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cognition and Current Opinion in Neurobiology.

In The Last Decade

Laura Lakusta

21 papers receiving 748 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laura Lakusta 465 348 170 148 105 23 809
Moyra Williams 256 0.6× 212 0.6× 326 1.9× 141 1.0× 38 0.4× 29 847
Mila Vulchanova 398 0.9× 222 0.6× 404 2.4× 207 1.4× 20 0.2× 70 798
Benjamin Dering 200 0.4× 432 1.2× 438 2.6× 54 0.4× 19 0.2× 21 797
Roberta Corrigan 534 1.1× 145 0.4× 189 1.1× 146 1.0× 3 0.0× 38 723
Maria D. Sera 361 0.8× 442 1.3× 156 0.9× 217 1.5× 3 0.0× 39 835
Martin Paczynski 312 0.7× 389 1.1× 587 3.5× 128 0.9× 7 0.1× 17 1.0k
Karen Lindem 281 0.6× 275 0.8× 258 1.5× 39 0.3× 7 0.1× 13 806
Lucy C. Erickson 341 0.7× 117 0.3× 270 1.6× 23 0.2× 6 0.1× 19 744
Edward Kako 388 0.8× 290 0.8× 260 1.5× 161 1.1× 3 0.0× 13 754
Thanujeni Pathman 373 0.8× 430 1.2× 645 3.8× 17 0.1× 21 0.2× 29 1.0k

Countries citing papers authored by Laura Lakusta

Since Specialization
Citations

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

Fields of papers citing papers by Laura Lakusta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Lakusta

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Lakusta. A scholar is included among the top collaborators of Laura Lakusta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Lakusta. Laura Lakusta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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