Mats Deutschmann

63 total papers · 829 total citations
37 papers, 354 citations indexed

About

Mats Deutschmann is a scholar working on Language and Linguistics, Linguistics and Language and Literature and Literary Theory. According to data from OpenAlex, Mats Deutschmann has authored 37 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Language and Linguistics, 12 papers in Linguistics and Language and 11 papers in Literature and Literary Theory. Recurrent topics in Mats Deutschmann's work include EFL/ESL Teaching and Learning (14 papers), Multilingual Education and Policy (9 papers) and Second Language Learning and Teaching (8 papers). Mats Deutschmann is often cited by papers focused on EFL/ESL Teaching and Learning (14 papers), Multilingual Education and Policy (9 papers) and Second Language Learning and Teaching (8 papers). Mats Deutschmann collaborates with scholars based in Sweden, Italy and Norway. Mats Deutschmann's co-authors include Luisa Panichi, Judith Molka-Danielsen, Inga Dennhag, Eva Lindgren, Kirk P. H. Sullivan, David J. Richardson, Terry Walker, Gert Rijlaarsdam, Johan Svensson and Johan Svensson and has published in prestigious journals such as SHILAP Revista de lepidopterología, ReCALL and European Educational Research Journal.

In The Last Decade

Mats Deutschmann

34 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Mats Deutschmann 187 91 76 70 70 37 354
Christine Dévelotte 150 0.8× 137 1.5× 82 1.1× 29 0.4× 56 0.8× 42 342
Seppo Tella 99 0.5× 84 0.9× 120 1.6× 32 0.5× 83 1.2× 48 304
John S. Knox 83 0.4× 175 1.9× 68 0.9× 43 0.6× 33 0.5× 23 375
Gail Forey 218 1.2× 184 2.0× 87 1.1× 29 0.4× 68 1.0× 27 391
Isabel Alonso Belmonte 174 0.9× 160 1.8× 98 1.3× 14 0.2× 42 0.6× 33 355
Astrid Ensslin 85 0.5× 162 1.8× 28 0.4× 42 0.6× 67 1.0× 53 377
Marilyn L. Abbott 150 0.8× 88 1.0× 151 2.0× 22 0.3× 173 2.5× 34 362
Nesrin Özdener 128 0.7× 64 0.7× 160 2.1× 44 0.6× 149 2.1× 37 399
Sheridan Blau 58 0.3× 117 1.3× 178 2.3× 22 0.3× 88 1.3× 20 341
Charles Moran 61 0.3× 157 1.7× 128 1.7× 39 0.6× 77 1.1× 41 389

Countries citing papers authored by Mats Deutschmann

Since Specialization
Citations

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

Fields of papers citing papers by Mats Deutschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Deutschmann

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