Anna Judica

29 total papers · 2.7k total citations
27 papers, 2.2k citations indexed

About

Anna Judica is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Anna Judica has authored 27 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 17 papers in Developmental and Educational Psychology and 9 papers in Statistics and Probability. Recurrent topics in Anna Judica's work include Reading and Literacy Development (17 papers), Cognitive and developmental aspects of mathematical skills (9 papers) and Spatial Neglect and Hemispheric Dysfunction (9 papers). Anna Judica is often cited by papers focused on Reading and Literacy Development (17 papers), Cognitive and developmental aspects of mathematical skills (9 papers) and Spatial Neglect and Hemispheric Dysfunction (9 papers). Anna Judica collaborates with scholars based in Italy. Anna Judica's co-authors include Pierluigi Zoccolotti, Maria De Luca, Donatella Spinelli, Enrico Di Pace, Gabriella Antonucci, Carmelina Razzano, L. Pizzamiglio, Luigi Pizzamiglio, P Montenero and Paola Angelelli and has published in prestigious journals such as Neuropsychologia, Experimental Brain Research and Neuroreport.

In The Last Decade

Anna Judica

27 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Anna Judica 1.4k 1.3k 609 436 237 27 2.2k
Gianfranco Denes 1.7k 1.2× 681 0.5× 484 0.8× 153 0.4× 144 0.6× 62 2.2k
Gérard Deloche 818 0.6× 669 0.5× 545 0.9× 234 0.5× 71 0.3× 73 1.6k
Fabrizio Doricchi 2.8k 2.0× 226 0.2× 492 0.8× 103 0.2× 305 1.3× 96 3.2k
Céline R. Gillebert 1.5k 1.1× 313 0.2× 179 0.3× 51 0.1× 124 0.5× 81 2.4k
Melissa Newhart 1.9k 1.4× 550 0.4× 38 0.1× 50 0.1× 165 0.7× 52 2.2k
Maria Wyke 1.6k 1.2× 415 0.3× 108 0.2× 65 0.1× 42 0.2× 58 2.5k
Norman C. Nettleton 2.2k 1.6× 374 0.3× 159 0.3× 48 0.1× 157 0.7× 50 2.5k
Cristina Burani 2.2k 1.6× 2.5k 1.9× 595 1.0× 447 1.0× 21 0.1× 90 3.2k
Gaël Jobard 2.8k 2.0× 1.0k 0.8× 203 0.3× 74 0.2× 20 0.1× 39 3.2k
Michaël Andres 1.6k 1.2× 710 0.6× 940 1.5× 416 1.0× 24 0.1× 56 2.3k

Countries citing papers authored by Anna Judica

Since Specialization
Citations

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

Fields of papers citing papers by Anna Judica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Judica

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