Annie Gagliardi

619 total citations
10 papers, 237 citations indexed

About

Annie Gagliardi is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Cultural Studies. According to data from OpenAlex, Annie Gagliardi has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental and Educational Psychology, 5 papers in Artificial Intelligence and 3 papers in Cultural Studies. Recurrent topics in Annie Gagliardi's work include Language Development and Disorders (8 papers), Reading and Literacy Development (3 papers) and Language and cultural evolution (3 papers). Annie Gagliardi is often cited by papers focused on Language Development and Disorders (8 papers), Reading and Literacy Development (3 papers) and Language and cultural evolution (3 papers). Annie Gagliardi collaborates with scholars based in United States and United Kingdom. Annie Gagliardi's co-authors include Jeffrey Lidz, Jennifer Culbertson, Kenny Smith, Naomi H. Feldman, Maria Polinsky and Alexis Wellwood and has published in prestigious journals such as Language, Journal of Memory and Language and Cognitive Science.

In The Last Decade

Annie Gagliardi

10 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annie Gagliardi United States	7	165	81	65	59	42	10	237
Elnaz Shafaei-Bajestan Germany	6	74 0.4×	80 1.0×	46 0.7×	99 1.7×	64 1.5×	9	187
Corrine McCarthy United States	5	119 0.7×	64 0.8×	118 1.8×	26 0.4×	50 1.2×	6	190
Yu‐Ying Chuang Germany	7	76 0.5×	90 1.1×	69 1.1×	106 1.8×	88 2.1×	18	219
Alice Blumenthal‐Dramé Germany	8	73 0.4×	54 0.7×	103 1.6×	57 1.0×	72 1.7×	10	192
Ray Fabri Malta	7	55 0.3×	40 0.5×	108 1.7×	55 0.9×	54 1.3×	15	175
Karen Miller United States	11	167 1.0×	76 0.9×	153 2.4×	46 0.8×	97 2.3×	22	282
Mineharu Nakayama United States	6	126 0.8×	37 0.5×	180 2.8×	119 2.0×	57 1.4×	14	310
Takuya Goro Japan	7	119 0.7×	60 0.7×	89 1.4×	26 0.4×	10 0.2×	11	157
Beracah Yankama United States	3	55 0.3×	26 0.3×	84 1.3×	63 1.1×	32 0.8×	6	184
Elif Bamyacı Germany	5	80 0.5×	95 1.2×	101 1.6×	31 0.5×	37 0.9×	8	181

Countries citing papers authored by Annie Gagliardi

Since Specialization

Citations

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

Fields of papers citing papers by Annie Gagliardi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Gagliardi

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

All Works

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10 of 10 papers shown

1.

Gagliardi, Annie, Naomi H. Feldman, & Jeffrey Lidz. (2016). Modeling Statistical Insensitivity: Sources of Suboptimal Behavior. Cognitive Science. 41(1). 188–217. 15 indexed citations

2.

Culbertson, Jennifer, Annie Gagliardi, & Kenny Smith. (2016). Competition between phonological and semantic cues in noun class learning. Journal of Memory and Language. 92. 343–358. 37 indexed citations

3.

Gagliardi, Annie, et al.. (2016). Discontinuous development in the acquisition of filler-gap dependencies: Evidence from 15- and 20-month-olds. Language Acquisition. 23(3). 234–260. 18 indexed citations

4.

Wellwood, Alexis, Annie Gagliardi, & Jeffrey Lidz. (2016). Syntactic and Lexical Inference in the Acquisition of Novel Superlatives. Language Learning and Development. 12(3). 262–279. 7 indexed citations

5.

Gagliardi, Annie & Jeffrey Lidz. (2014). Statistical Insensitivity in the Acquisition of TSEZ Noun Classes. Language. 90(1). 58–89. 46 indexed citations

6.

Gagliardi, Annie, et al.. (2014). The biabsolutive construction in Lak and Tsez. Lingua. 150. 137–170. 17 indexed citations

7.

Lidz, Jeffrey & Annie Gagliardi. (2014). How Nature Meets Nurture: Universal Grammar and Statistical Learning. Annual Review of Linguistics. 1(1). 333–353. 88 indexed citations

8.

Gagliardi, Annie. (2013). All input isn't equal: how the nature of the learner shapes language acquisition. Studia Linguistica. 67(1). 68–81. 3 indexed citations

9.

Gagliardi, Annie, Naomi H. Feldman, & Jeffrey Lidz. (2012). When Suboptimal Behavior is Optimal and Why: Modeling the Acquisition of Noun Classes in Tsez. Cognitive Science. 34(34). 5 indexed citations

10.

Gagliardi, Annie, et al.. (2012). Children's Inferences in Generalizing Novel Nouns and Adjectives. Cognitive Science. 34(34). 1 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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