Diane Schmitt

46 total papers · 3.1k total citations
15 papers, 1.6k citations indexed

About

Diane Schmitt is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Diane Schmitt has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Language and Linguistics, 7 papers in Developmental and Educational Psychology and 4 papers in Artificial Intelligence. Recurrent topics in Diane Schmitt's work include Second Language Acquisition and Learning (7 papers), Lexicography and Language Studies (5 papers) and Natural Language Processing Techniques (4 papers). Diane Schmitt is often cited by papers focused on Second Language Acquisition and Learning (7 papers), Lexicography and Language Studies (5 papers) and Natural Language Processing Techniques (4 papers). Diane Schmitt collaborates with scholars based in United Kingdom, United States and Canada. Diane Schmitt's co-authors include Norbert Schmitt, Caroline Clapham, Tom Cobb, Marlise Horst, Liz Hamp‐Lyons and David R. Mann and has published in prestigious journals such as System, Language Testing and Language Teaching Research.

In The Last Decade

Diane Schmitt

13 papers receiving 1.4k citations

Hit Papers

Developing and exploring ... 2001 2026 2009 2017 2001 2020 2012 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Diane Schmitt 1.3k 866 628 325 221 15 1.6k
David D. Qian 1.2k 0.9× 674 0.8× 521 0.8× 236 0.7× 223 1.0× 22 1.4k
Caroline Clapham 1.1k 0.8× 1.0k 1.2× 459 0.7× 535 1.6× 400 1.8× 21 1.7k
James Milton 1.2k 0.9× 949 1.1× 576 0.9× 443 1.4× 210 1.0× 58 1.6k
T. Sima Paribakht 2.0k 1.5× 1.5k 1.7× 746 1.2× 489 1.5× 183 0.8× 25 2.3k
Marlise Horst 1.3k 1.0× 974 1.1× 508 0.8× 424 1.3× 281 1.3× 30 2.1k
Lia Plakans 762 0.6× 623 0.7× 273 0.4× 699 2.2× 833 3.8× 35 1.5k
Junko Yamashita 1.1k 0.8× 593 0.7× 315 0.5× 267 0.8× 215 1.0× 47 1.4k
Sara Cushing Weigle 731 0.6× 808 0.9× 340 0.5× 719 2.2× 919 4.2× 36 1.8k
Ineke Vedder 907 0.7× 978 1.1× 282 0.4× 668 2.1× 290 1.3× 44 1.3k
Patricia A. Herman 1.8k 1.4× 687 0.8× 464 0.7× 167 0.5× 485 2.2× 17 2.0k

Countries citing papers authored by Diane Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Diane Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Schmitt

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