Allegra Cattani

41 total papers · 697 total citations
28 papers, 459 citations indexed

About

Allegra Cattani is a scholar working on Developmental and Educational Psychology, Social Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Allegra Cattani has authored 28 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Developmental and Educational Psychology, 6 papers in Social Psychology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Allegra Cattani's work include Language Development and Disorders (11 papers), Reading and Literacy Development (7 papers) and Hearing Impairment and Communication (6 papers). Allegra Cattani is often cited by papers focused on Language Development and Disorders (11 papers), Reading and Literacy Development (7 papers) and Hearing Impairment and Communication (6 papers). Allegra Cattani collaborates with scholars based in United Kingdom, Italy and Australia. Allegra Cattani's co-authors include Caroline Floccia, John Clibbens, Ian Dennis, Andrea Krott, Kirsten Abbot‐Smith, Alessandro Di Nuovo, Santo Di Nuovo, Daniela Conti, Claire Delle Luche and Virginia Volterra and has published in prestigious journals such as Frontiers in Psychology, Memory & Cognition and Language Learning.

In The Last Decade

Allegra Cattani

27 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Allegra Cattani	302	133	69	62	59	28	459
Filip Šmolík	304 1.0×	152 1.1×	52 0.8×	47 0.8×	29 0.5×	36	471
Robin Panneton	257 0.9×	127 1.0×	159 2.3×	78 1.3×	28 0.5×	24	546
Loes Wauters	424 1.4×	181 1.4×	66 1.0×	54 0.9×	13 0.2×	15	509
Christa Lam‐Cassettari	238 0.8×	100 0.8×	147 2.1×	39 0.6×	43 0.7×	26	452
Brigette Oliver Ryalls	198 0.7×	99 0.7×	114 1.7×	43 0.7×	45 0.8×	17	498
Makeba Parramore Wilbourn	309 1.0×	153 1.2×	87 1.3×	53 0.9×	24 0.4×	19	483
Carlos Gallego	288 1.0×	114 0.9×	33 0.5×	19 0.3×	47 0.8×	34	500
Frédérique Gayraud	308 1.0×	132 1.0×	65 0.9×	30 0.5×	103 1.7×	28	536
David W. Carroll	156 0.5×	60 0.5×	67 1.0×	47 0.8×	11 0.2×	33	432
Agnes Tellings	305 1.0×	146 1.1×	60 0.9×	41 0.7×	7 0.1×	32	417

Countries citing papers authored by Allegra Cattani

Since Specialization

Citations

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

Fields of papers citing papers by Allegra Cattani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allegra Cattani

This figure shows the co-authorship network connecting the top 25 collaborators of Allegra Cattani. A scholar is included among the top collaborators of Allegra Cattani 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 Allegra Cattani. Allegra Cattani 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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