Patricia Román

732 total citations
17 papers, 422 citations indexed

About

Patricia Román is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Patricia Román has authored 17 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 9 papers in Developmental and Educational Psychology and 4 papers in Statistics and Probability. Recurrent topics in Patricia Román's work include Reading and Literacy Development (9 papers), Neurobiology of Language and Bilingualism (8 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Patricia Román is often cited by papers focused on Reading and Literacy Development (9 papers), Neurobiology of Language and Bilingualism (8 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Patricia Román collaborates with scholars based in Spain, United States and Germany. Patricia Román's co-authors include M. Teresa Bajo, María Felipa Soriano, Carlos J. Gómez‐Ariza, Amparo Herrera, Pedro Macizo, Juan Francisco Jiménez, Juan F. Jiménez, M.C. Martín Delgado, Noelia Ventura‐Campos and César Ávila and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Science.

In The Last Decade

Patricia Román

17 papers receiving 412 citations

Peers

Patricia Román
Comparison fields: 5 of 46
  • Cognitive Neuroscience 333
  • Developmental and Educational Psychology 181
  • Experimental and Cognitive Psychology 122
  • Statistics and Probability 71
  • Psychiatry and Mental health 55
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Citations per field, relative to Patricia Román
Patricia Román · 1×
Citations per year, relative to Patricia Román
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Countries citing papers authored by Patricia Román

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Román

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Román

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 7
3 2
4 8
5 22
6 3
7 50
8 24
9 50
10 25
11 3
12 24
13 57
14 35
15 91
16
Una revisión a la composición y transición demográfica en Colombia
4
17 16

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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