Philip Shaw

154 total papers · 1.9k total citations
69 papers, 1.0k citations indexed

About

Philip Shaw is a scholar working on Language and Linguistics, Literature and Literary Theory and Developmental and Educational Psychology. According to data from OpenAlex, Philip Shaw has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Language and Linguistics, 33 papers in Literature and Literary Theory and 21 papers in Developmental and Educational Psychology. Recurrent topics in Philip Shaw's work include Second Language Learning and Teaching (19 papers), Discourse Analysis in Language Studies (17 papers) and Second Language Acquisition and Learning (17 papers). Philip Shaw is often cited by papers focused on Second Language Learning and Teaching (19 papers), Discourse Analysis in Language Studies (17 papers) and Second Language Acquisition and Learning (17 papers). Philip Shaw collaborates with scholars based in Sweden, United Kingdom and Denmark. Philip Shaw's co-authors include Diane Pecorari, Hans Malmström, Irena Vassileva, Anna Kristina Hultgren, Li Wei, Paul Gillaerts, Maria Kuteeva, Joan C. Beal, Charles Barber and Anna Trosborg and has published in prestigious journals such as SHILAP Revista de lepidopterología, TESOL Quarterly and Applied Linguistics.

In The Last Decade

Philip Shaw

59 papers receiving 862 citations

Author Peers

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

Author Last Decade Papers Cites
Philip Shaw 664 533 378 207 152 69 1.0k
Maggie Charles 737 1.1× 449 0.8× 482 1.3× 167 0.8× 248 1.6× 25 1.0k
Desmond Allison 681 1.0× 469 0.9× 274 0.7× 310 1.5× 98 0.6× 43 1.1k
Sheena Gardner 659 1.0× 464 0.9× 325 0.9× 343 1.7× 133 0.9× 46 1.0k
Betty Samraj 910 1.4× 437 0.8× 289 0.8× 301 1.5× 121 0.8× 19 1.2k
Charles W. Stansfield 489 0.7× 780 1.5× 518 1.4× 322 1.6× 78 0.5× 98 1.2k
Guoxing Yu 265 0.4× 305 0.6× 376 1.0× 456 2.2× 152 1.0× 69 935
Svenja Adolphs 335 0.5× 587 1.1× 307 0.8× 75 0.4× 200 1.3× 54 1.1k
Clotilde Pontecorvo 172 0.3× 343 0.6× 432 1.1× 498 2.4× 64 0.4× 68 1.1k
Shelley Staples 555 0.8× 413 0.8× 588 1.6× 194 0.9× 342 2.3× 47 1.0k
Ruth Spack 698 1.1× 584 1.1× 218 0.6× 423 2.0× 29 0.2× 34 1.1k

Countries citing papers authored by Philip Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Philip Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Shaw

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

All Works

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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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