Mike Baynham

122 total papers · 3.1k total citations
53 papers, 1.2k citations indexed

About

Mike Baynham is a scholar working on Literature and Literary Theory, Linguistics and Language and Language and Linguistics. According to data from OpenAlex, Mike Baynham has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Literature and Literary Theory, 19 papers in Linguistics and Language and 15 papers in Language and Linguistics. Recurrent topics in Mike Baynham's work include Multilingual Education and Policy (19 papers), Second Language Learning and Teaching (13 papers) and EFL/ESL Teaching and Learning (9 papers). Mike Baynham is often cited by papers focused on Multilingual Education and Policy (19 papers), Second Language Learning and Teaching (13 papers) and EFL/ESL Teaching and Learning (9 papers). Mike Baynham collaborates with scholars based in United Kingdom, Canada and Brazil. Mike Baynham's co-authors include Richard G. Kern, Anna De Fina, Tong King Lee, Mastin Prinsloo, Stef Slembrouck, Jana Zecha, Svenja Wiechmann, Yangyang Bian, Maria Reinecke and Stephanie Heinzlmeir and has published in prestigious journals such as Nature Communications, Modern Language Journal and TESOL Quarterly.

In The Last Decade

Mike Baynham

48 papers receiving 1.0k citations

Hit Papers

Robust, reproducible and ... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Mike Baynham 481 426 390 256 191 53 1.2k
Cynthia Nelson 183 0.4× 218 0.5× 273 0.7× 124 0.5× 311 1.6× 36 1.0k
Patricia A. Porter 525 1.1× 680 1.6× 134 0.3× 277 1.1× 55 0.3× 27 1.3k
Patricia A. Edwards 122 0.3× 62 0.1× 88 0.2× 515 2.0× 122 0.6× 75 1.1k
Christina Haas 417 0.9× 159 0.4× 32 0.1× 464 1.8× 219 1.1× 55 1.2k
Juyoung Song 281 0.6× 372 0.9× 331 0.8× 372 1.5× 418 2.2× 56 1.3k
Frank Nuessel 318 0.7× 577 1.4× 498 1.3× 153 0.6× 162 0.8× 103 1.4k
Jeff Siegel 192 0.4× 666 1.6× 889 2.3× 85 0.3× 113 0.6× 64 1.3k
Tom McArthur 263 0.5× 612 1.4× 403 1.0× 62 0.2× 76 0.4× 73 1.0k
Norbert Dittmar 356 0.7× 707 1.7× 402 1.0× 102 0.4× 231 1.2× 40 1.3k
Renate A. Schulz 730 1.5× 938 2.2× 222 0.6× 533 2.1× 85 0.4× 68 1.4k

Countries citing papers authored by Mike Baynham

Since Specialization
Citations

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

Fields of papers citing papers by Mike Baynham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Baynham

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Baynham. A scholar is included among the top collaborators of Mike Baynham 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 Mike Baynham. Mike Baynham 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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