Javier Muñoz–Basols

502 citations
41 papers · 221 · h-index 8

Impact in

Papers in

Javier Muñoz–Basols

33 papers receiving 203 citations

Peers

Javier Muñoz–Basols
Comparison fields: 5 of 38
  • Language and Linguistics 128
  • Linguistics and Language 46
  • Health Informatics 8
  • Literature and Literary Theory 67
  • Computer Science Applications 13
Replace Martin Schweinberger with:
Martin Schweinberger Australia
Cynthia Ducar United States
Ömer Gökhan Ulum Türkiye
Vanessa Leonardi Italy
Jieun Kiaer United Kingdom
Isaac N. Mwinlaaru Ghana
Miriam Morek Germany
Anne Marie Guerrettaz United States
Chantelle Warner United States
Tamás Kiss China
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Citations per year

Countries citing papers authored by Javier Muñoz–Basols

Since Specialization
Citations

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

Fields of papers citing papers by Javier Muñoz–Basols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Muñoz–Basols. 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 Javier Muñoz–Basols. The network helps show where Javier Muñoz–Basols may publish in the future.

Co-authors

The 15 scholars most cited alongside Javier Muñoz–Basols, 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 Javier Muñoz–Basols Line = papers co-authored together Javier Muñoz–Basols links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202334
2 201930
3 201727
4 202216
5 201916
6 201416
7 20169
8 20169
9 20227
10 20216
11 20165
12 20185
13 20234
14 20243
15 20103
16 20183
17 20213
18 20213
19 20123
20 20252

About Javier Muñoz–Basols

Javier Muñoz–Basols is a scholar working on Language and Linguistics, Literature and Literary Theory, Education, Artificial Intelligence and Linguistics and Language, having authored 41 papers that have together received 221 indexed citations. Recurring topics across this work include Spanish Linguistics and Language Studies (20 papers), Second Language Learning and Teaching (10 papers), EFL/ESL Teaching and Learning (8 papers), Linguistic Studies and Language Acquisition (6 papers), Literacy and Educational Practices (6 papers), Linguistics, Language Diversity, and Identity (4 papers), Historical Linguistics and Language Studies (3 papers) and Multilingual Education and Policy (3 papers). The work is most often cited by research in Language and Linguistics (128 citations), Linguistics and Language (46 citations), Health Informatics (8 citations), Literature and Literary Theory (67 citations) and Computer Science Applications (13 citations). Javier Muñoz–Basols has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Elisa Gironzetti, Barbara A Lafford, Martin McLaughlin, Manel Lacorte, Manuel Díaz‐Campos, Andrew Lynch, Dale A. Koike, Joe Barcroft, Diego Pascual y Cabo and Julio Torres. Their work appears in journals such as Computer Assisted Language Learning, Language Culture and Curriculum, International Journal of Applied Linguistics, Language Awareness and Perspectives.

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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