Pino Cutrone

43 total papers · 765 total citations
22 papers, 445 citations indexed

About

Pino Cutrone is a scholar working on Language and Linguistics, Literature and Literary Theory and Applied Psychology. According to data from OpenAlex, Pino Cutrone has authored 22 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Language and Linguistics, 9 papers in Literature and Literary Theory and 6 papers in Applied Psychology. Recurrent topics in Pino Cutrone's work include EFL/ESL Teaching and Learning (10 papers), Language, Discourse, Communication Strategies (8 papers) and Discourse Analysis in Language Studies (6 papers). Pino Cutrone is often cited by papers focused on EFL/ESL Teaching and Learning (10 papers), Language, Discourse, Communication Strategies (8 papers) and Discourse Analysis in Language Studies (6 papers). Pino Cutrone collaborates with scholars based in Japan and United States. Pino Cutrone's co-authors include Atsushi Oshio, Shingo Abe and Samuel D. Gosling and has published in prestigious journals such as Intercultural Pragmatics, Multilingua and Journal of Individual Differences.

In The Last Decade

Pino Cutrone

13 papers receiving 412 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pino Cutrone 150 122 118 104 68 22 445
Benjamin Pope 189 1.3× 85 0.7× 167 1.4× 65 0.6× 24 0.4× 33 428
Liisa Voutilainen 183 1.2× 97 0.8× 100 0.8× 215 2.1× 55 0.8× 27 389
Christiane Schoel 114 0.8× 65 0.5× 173 1.5× 96 0.9× 42 0.6× 21 406
Elke Heise 82 0.5× 91 0.7× 167 1.4× 40 0.4× 23 0.3× 33 420
Mark T. Palmer 51 0.3× 75 0.6× 234 2.0× 90 0.9× 44 0.6× 15 432
Raymond K. Tucker 91 0.6× 44 0.4× 149 1.3× 35 0.3× 46 0.7× 30 426
Deborah A. Newton 71 0.5× 46 0.4× 239 2.0× 61 0.6× 27 0.4× 19 419
Michael White 130 0.9× 151 1.2× 66 0.6× 130 1.3× 66 1.0× 17 407
Anna Ekström 49 0.3× 101 0.8× 77 0.7× 158 1.5× 38 0.6× 36 478
Choo Mui Cheong 37 0.2× 62 0.5× 75 0.6× 119 1.1× 95 1.4× 27 403

Countries citing papers authored by Pino Cutrone

Since Specialization
Citations

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

Fields of papers citing papers by Pino Cutrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pino Cutrone

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026