Arantxa Vizcaíno-Verdú

569 citations
44 papers · 301 indexed · h-index 7

Arantxa Vizcaíno-Verdú

35 papers receiving 289 citations

Peers

Arantxa Vizcaíno-Verdú
Comparison fields: 5 of 48
  • Communication 113
  • Computer Science Applications 35
  • Music 12
  • Gender Studies 36
  • Museology 13
Replace Teresa Dobson with:
Teresa Dobson Canada
Dan Perkel United States
Mar Guerrero-Pico Spain
Andreas Schellewald United Kingdom
Amy Petersen Jensen United States
Myron Tuman United States
Alfonso Méndiz Noguero Spain
Daniel Klug United States
Beatriz Catalina-García Spain
Judith Fusco United States
Arantxa Vizcaíno-Verdú relative to Teresa Dobson Canada Teresa Dobson's profile →
Citations per field
00.5×10.8×
Teresa Dobson · 1×
Citations per year

Countries citing papers authored by Arantxa Vizcaíno-Verdú

Since Specialization
Citations

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

Fields of papers citing papers by Arantxa Vizcaíno-Verdú

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arantxa Vizcaíno-Verdú. 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 Arantxa Vizcaíno-Verdú. The network helps show where Arantxa Vizcaíno-Verdú may publish in the future.

Co-authorship network

The 13 scholars most cited alongside Arantxa Vizcaíno-Verdú, 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 Arantxa Vizcaíno-Verdú Line = papers co-authored together Arantxa Vizcaíno-Verdú links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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Cultura participativa, fandom y narrativas emergentes en redes sociales
20213
18 202014
19
Instagram y diversidad: recursos y usos didácticos de profesores en Educación Especial
20201
20
Reading and informal learning trends on YouTube: The booktuber [Lectura y aprendizaje informal en YouTube: El booktuber]
20190

About Arantxa Vizcaíno-Verdú

Arantxa Vizcaíno-Verdú is a scholar working on Communication, Gender Studies and Computer Science Applications, having authored 44 papers that have together received 301 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (14 papers), Media and Digital Communication (12 papers), Child Development and Digital Technology (8 papers), Media, Gender, and Advertising (7 papers), Social Media and Politics (6 papers), Communication and COVID-19 Impact (6 papers), Gender, Feminism, and Media (6 papers) and Digital Marketing and Social Media (5 papers). The work is most often cited by research in Communication (113 citations), Computer Science Applications (35 citations) and Music (12 citations). Arantxa Vizcaíno-Verdú has collaborated with scholars based in Spain, Australia and Italy. Frequent co-authors include Paloma Contreras Pulido, Ignácio Aguaded, Crystal Abidin, María Dolores Guzmán Franco, Daniela Jaramillo-Dent, Beatriz Feijóo, Charo Sádaba, María Amor Pérez Rodríguez, Jesús Díaz-Campo and Rosa García-Ruiz. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Teaching and Teacher Education.

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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