Antonio Laverghetta

756 citations
28 papers · 501 indexed · h-index 10
Topics
Topic Modeling (6 papers)Natural Language Processing Techniques (4 papers)Neural dynamics and brain function (2 papers)

In The Last Decade

Antonio Laverghetta

26 papers receiving 491 citations

Peers

Antonio Laverghetta
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 208
  • Cognitive Neuroscience 141
  • Developmental Biology 134
  • Ecology, Evolution, Behavior and Systematics 125
  • Social Psychology 90
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Countries citing papers authored by Antonio Laverghetta

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Laverghetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Laverghetta

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Laverghetta. A scholar is included among the top collaborators of Antonio Laverghetta 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 Antonio Laverghetta. Antonio Laverghetta 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
#WorkIndexed citations
1 8
2 1
3 7
4 2
5 1
6
The Relationship between Student Anti-Intellectualism, Academic Entitlement, Student Consumerism, and Classroom Incivility in a Sample of College Students
10
7
The Relationship between Student Anti-Intellectualism and Proneness to Boredom in a Sample of College Students.
1
8
College Students' Chronological Age Predicts Marital Happiness Regardless of Length of Marriage
2
9
Sex Differences in College Students' Elementary Arithmetic Ability.
0
10 4
11
College Student Stress and Satisfaction with Life.
33
12
Does Experience in College Mathematics Courses Affect Elementary Arithmetic Performance in College Students
1
13
The Ideal Man and Woman According to University Students
0
14 4
15 31
16 10
17 85
18
Visual Discrimination in the Pigeon (Columba Livia): Effects of Selective Lesions of the Nucleus Rotundus
3
19 32
20
Effects of Nucleus Rotundus Lesions on Motion and Color Discriminations in Pigeons
1

About Antonio Laverghetta

Antonio Laverghetta is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 28 papers that have together received 501 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Developmental Biology (134 citations), Cellular and Molecular Neuroscience (208 citations) and Cognitive Neuroscience (141 citations). Antonio Laverghetta has collaborated with scholars based in United States, France and Uzbekistan. Frequent co-authors include Anton Reiner, Toru Shimizu, Yun Jiao, Nobel Del Mar, S.L. Cuthbertson, Sarah W. Bottjer, Christopher A. Meade, Kei Yamamoto, L. B. Weinstein and Robert C. Foehring. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research and Neuroreport.

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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