Larissa K. Samuelson

5.1k total citations
65 papers, 2.9k citations indexed

About

Larissa K. Samuelson is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Cultural Studies. According to data from OpenAlex, Larissa K. Samuelson has authored 65 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Developmental and Educational Psychology, 13 papers in Experimental and Cognitive Psychology and 11 papers in Cultural Studies. Recurrent topics in Larissa K. Samuelson's work include Child and Animal Learning Development (50 papers), Language Development and Disorders (34 papers) and Reading and Literacy Development (24 papers). Larissa K. Samuelson is often cited by papers focused on Child and Animal Learning Development (50 papers), Language Development and Disorders (34 papers) and Reading and Literacy Development (24 papers). Larissa K. Samuelson collaborates with scholars based in United States, United Kingdom and Germany. Larissa K. Samuelson's co-authors include Linda B. Smith, Jessica S. Horst, Bob McMurray, Lynn K. Perry, Sarah C. Kucker, John P. Spencer, Barbara Landau, Lisa Gershkoff‐Stowe, Susan S. Jones and Sammy Perone and has published in prestigious journals such as PLoS ONE, Psychological Review and Child Development.

In The Last Decade

Larissa K. Samuelson

65 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Larissa K. Samuelson United States 27 2.4k 807 548 314 282 65 2.9k
Susan S. Jones United States 26 2.6k 1.1× 991 1.2× 924 1.7× 331 1.1× 285 1.0× 47 3.5k
Deborah G. Kemler Nelson United States 20 2.0k 0.8× 652 0.8× 965 1.8× 254 0.8× 146 0.5× 33 2.4k
Catherine M. Sandhofer United States 21 1.1k 0.4× 418 0.5× 407 0.7× 245 0.8× 106 0.4× 53 1.6k
Jessica S. Horst United Kingdom 25 1.6k 0.7× 601 0.7× 325 0.6× 190 0.6× 132 0.5× 47 2.1k
D. Geoffrey Hall Canada 23 1.4k 0.6× 327 0.4× 356 0.6× 147 0.5× 135 0.5× 58 1.6k
Luca L. Bonatti Spain 18 1.2k 0.5× 631 0.8× 456 0.8× 275 0.9× 167 0.6× 31 1.6k
Ben Ambridge United Kingdom 24 2.1k 0.9× 1.5k 1.8× 698 1.3× 473 1.5× 206 0.7× 65 3.2k
Laraine McDonough United States 19 1.3k 0.5× 508 0.6× 513 0.9× 86 0.3× 124 0.4× 24 1.8k
Mutsumi Imai Japan 26 1.3k 0.6× 487 0.6× 1.8k 3.3× 192 0.6× 233 0.8× 70 2.9k
Susan J. Hespos United States 20 1.2k 0.5× 416 0.5× 441 0.8× 105 0.3× 79 0.3× 42 1.7k

Countries citing papers authored by Larissa K. Samuelson

Since Specialization
Citations

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

Fields of papers citing papers by Larissa K. Samuelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larissa K. Samuelson. 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 Larissa K. Samuelson. The network helps show where Larissa K. Samuelson may publish in the future.

Co-authorship network of co-authors of Larissa K. Samuelson

This figure shows the co-authorship network connecting the top 25 collaborators of Larissa K. Samuelson. A scholar is included among the top collaborators of Larissa K. Samuelson 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 Larissa K. Samuelson. Larissa K. Samuelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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2.
Spencer, John P., et al.. (2021). Word-Object Learning via Visual Exploration in Space (WOLVES): A neural process model of cross-situational word learning.. Psychological Review. 129(4). 640–695. 25 indexed citations
3.
Samuelson, Larissa K.. (2021). Toward a Precision Science of Word Learning: Understanding Individual Vocabulary Pathways. Child Development Perspectives. 15(2). 117–124. 24 indexed citations
4.
Samuelson, Larissa K., et al.. (2021). Learning words in space and time: Contrasting models of the suspicious coincidence effect. Cognition. 210. 104576–104576. 4 indexed citations
5.
Spencer, John P., et al.. (2020). Word-Object Learning via Visual Exploration in Space (WOLVES): A Neural Process Account of Cross-Situational Word Learning. PubMed. 129(4). 640–695. 10 indexed citations
6.
Kucker, Sarah C., Bob McMurray, & Larissa K. Samuelson. (2019). Sometimes it is better to know less: How known words influence referent selection and retention in 18- to 24-month-old children. Journal of Experimental Child Psychology. 189. 104705–104705. 10 indexed citations
7.
Spencer, John P., et al.. (2018). A dynamic neural field model of memory, attention and cross-situational word learning.. Cognitive Science. 1 indexed citations
8.
Kucker, Sarah C., Bob McMurray, & Larissa K. Samuelson. (2015). Slowing Down Fast Mapping: Redefining the Dynamics of Word Learning. Child Development Perspectives. 9(2). 74–78. 65 indexed citations
9.
Perry, Lynn K. & Larissa K. Samuelson. (2013). The role of verbal labels in attention to dimensional similarity. Cognitive Science. 35(35). 9 indexed citations
10.
Spencer, John P., et al.. (2011). When More Evidence Makes Word Learning Less Suspicious. Cognitive Science. 33(33). 1 indexed citations
11.
Kucker, Sarah C. & Larissa K. Samuelson. (2010). Object and Word Familiarization Differentially Boost Retention in Fast-Mapping. eScholarship (California Digital Library). 1 indexed citations
12.
Lipinski, John, John P. Spencer, & Larissa K. Samuelson. (2010). Biased feedback in spatial recall yields a violation of delta rule learning. Psychonomic Bulletin & Review. 17(4). 581–588. 14 indexed citations
13.
Spencer, John P., Mark S. Blumberg, Bob McMurray, et al.. (2009). Short Arms and Talking Eggs: Why We Should No Longer Abide the Nativist–Empiricist Debate. Child Development Perspectives. 3(2). 79–87. 108 indexed citations
14.
Spencer, John P., Larissa K. Samuelson, Mark S. Blumberg, et al.. (2009). Seeing the World Through a Third Eye: Developmental Systems Theory Looks Beyond the Nativist–Empiricist Debate. Child Development Perspectives. 3(2). 103–105. 7 indexed citations
15.
Newman, Rochelle S., Larissa K. Samuelson, & Prahlad Gupta. (2008). Learning Novel Neighbors: Distributed mappings help children and connectionist models. eScholarship (California Digital Library). 30(30). 10 indexed citations
16.
Horst, Jessica S., et al.. (2008). Toddlers can adaptively change how they categorize: same objects, same session, two different categorical distinctions. Developmental Science. 12(1). 96–105. 16 indexed citations
17.
Samuelson, Larissa K., et al.. (2007). Drawing Conclusions about Categorization: Integrating Perceptual and Conceptual Processes in Naming. 11(4). 695. 5 indexed citations
18.
Samuelson, Larissa K., et al.. (2006). Knowledge, Performance, and Task: Décalage and Dynamics in Young Children's Noun Generalizations. Figshare. 28(28). 4 indexed citations
19.
Lipinski, John, Larissa K. Samuelson, Gregor Schöner, & John P. Spencer. (2006). SPAM-Ling: A Dynamical Model of Spatial Working Memory and Spatial Language. eScholarship (California Digital Library). 28(28). 3 indexed citations
20.
Samuelson, Larissa K.. (2000). Attentional Biases in Artificial Noun Learning Tasks: Generalizations Across the Structure of Already-Learned Nouns. eScholarship (California Digital Library). 22(22). 2 indexed citations

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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