Rafael Repiso

812 citations
56 papers · 575 · h-index 14

Impact in

Papers in

Rafael Repiso

49 papers receiving 540 citations

Peers

Rafael Repiso
Comparison fields: 5 of 98
  • Communication 285
  • Statistics, Probability and Uncertainty 99
  • Computer Science Applications 53
  • Experimental and Cognitive Psychology 67
  • History 38
Replace Antonio Castillo Esparcia with:
Antonio Castillo Esparcia Spain
Simone Belli Spain
Amalia Más-Bleda United Kingdom
Susan Crawford United States
Sharon A. Weiner United States
Jesús Díaz-Campo Spain
Juan D. Machin‐Mastromatteo Mexico
Juan Muñoz-Justícia Spain
Rebekah Willson Canada
Ethelene Whitmire United States
Rafael Repiso relative to Antonio Castillo Esparcia Spain Antonio Castillo Esparcia's profile →
Citations per field
00.5×5.2×
Antonio Castillo Esparcia · 1×
Citations per year

Countries citing papers authored by Rafael Repiso

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Repiso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Rafael Repiso, 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 Rafael Repiso Line = papers co-authored together Rafael Repiso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201160
3 201233
4 202032
5 201930
6 202126
7 201722
8 201921
9 201619
10 202117
11 202014
12 201614
13 201814
14 201413
15 202112
16 201312
17 201410
18 20209
19 20189
20 20228

About Rafael Repiso

Rafael Repiso is a scholar working on Communication, Experimental and Cognitive Psychology, Statistics, Probability and Uncertainty, Education and Computer Networks and Communications, having authored 56 papers that have together received 575 indexed citations. Recurring topics across this work include Advertising and Communication Studies (24 papers), Communication and COVID-19 Impact (18 papers), Journalism and Media Studies (14 papers), Psychology Research and Bibliometrics (12 papers), scientometrics and bibliometrics research (8 papers), Media and Digital Communication (5 papers), Knowledge Management in Higher Education (4 papers) and Health and Medical Education (4 papers). The work is most often cited by research in Communication (285 citations), Statistics, Probability and Uncertainty (99 citations), Computer Science Applications (53 citations), Experimental and Cognitive Psychology (67 citations) and History (38 citations). Rafael Repiso has collaborated with scholars based in Spain, Colombia and Mexico. Frequent co-authors include Emilio Delgado López‐Cózar, Ignácio Aguaded, Daniel Torres‐Salinas, María Ángeles Chaparro Dominguez, Antonio Castillo Esparcia, Julio Montero Díaz, Evaristo Jiménez‐Contreras, Jesús Arroyave, Enrique Orduña‐Malea and Francisco García García. Their work appears in journals such as El Profesional de la Informacion, Estudios sobre el Mensaje Periodístico, Scientometrics, Revista Mediterránea de Comunicación and Comunicar.

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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