Amparo Herrera

27 papers receiving 391 citations

Peers

Amparo Herrera
Comparison fields: 5 of 43
  • Statistics and Probability 319
  • Developmental and Educational Psychology 253
  • General Decision Sciences 19
  • Cognitive Neuroscience 184
  • Experimental and Cognitive Psychology 70
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Michal Pinhas Israel
Dror Dotan Israel
Wen-Chi Chiang United States
Arnaud Viarouge France
Stijn De Rammelaere Belgium
Yi Mou United States
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Wendy De Moor Belgium
Bianca M.C.W. van Bers Netherlands
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Citations per year

Countries citing papers authored by Amparo Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Amparo Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Amparo Herrera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amparo Herrera Line = papers co-authored together Amparo Herrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008100
2 201045
3 201028
4 201226
5 201125
6 201024
7 201124
8
El efecto del código numérico en la tarea de comparación de números de dos cifras
200817
9 200513
10 201413
11
Depresión, cognición y fracaso académico
200211
12 201011
13 200810
14 201110
15
Depression and cognition: new insights from the Lorenz curve and the Gini index
20076
16
Cognición, estilo atribucional y depresión
19995
17 20125
18 20105
19 20114
20
When symbolic spatial cues go before numbers
20113

About Amparo Herrera

Amparo Herrera is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Education, Cognitive Neuroscience and Social Psychology, having authored 32 papers that have together received 399 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (19 papers), Reading and Literacy Development (18 papers), Mathematics Education and Teaching Techniques (15 papers), Neurobiology of Language and Bilingualism (4 papers), Neural and Behavioral Psychology Studies (2 papers), Neuroscience and Music Perception (2 papers), Business, Innovation, and Economy (2 papers) and Stress and Burnout Research (2 papers). The work is most often cited by research in Statistics and Probability (319 citations), Developmental and Educational Psychology (253 citations), General Decision Sciences (19 citations), Cognitive Neuroscience (184 citations) and Experimental and Cognitive Psychology (70 citations). Amparo Herrera has collaborated with scholars based in Spain, Italy and Finland. Frequent co-authors include Pedro Macizo, Carlo Semenza, Patricia Román, M.C. Martín Delgado, Antonio Maldonado, Daniela Paolieri, José C. Perales, Andrés Catena, Rafael Pérez‐Ocón and David Contreras. Their work appears in journals such as Quarterly Journal of Experimental Psychology, Acta Psychologica, Psychological Research, Neuroreport and British Journal of Psychology.

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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