Tom Salsbury

1.2k citations
15 papers · 736 indexed · h-index 12
Topics
Second Language Acquisition and Learning (13 papers)Natural Language Processing Techniques (10 papers)Text Readability and Simplification (6 papers)
Partner nations
United States

In The Last Decade

Tom Salsbury

15 papers receiving 657 citations

Peers

Tom Salsbury
Comparison fields: 5 of 39
  • Developmental and Educational Psychology 576
  • Artificial Intelligence 379
  • Language and Linguistics 288
  • Literature and Literary Theory 164
  • Education 86
Replace Takumi Uchihara with:
Takumi Uchihara Japan
Cheryl Boyd Zimmerman United States
Susanne Rott United States
Henrik Gyllstad Sweden
Anna C-S Chang Taiwan
Rita Simpson‐Vlach United States
Alla Zareva United States
Hyung‐Jo Yoon United States
Jacqueline Evers-Vermeul Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Tom Salsbury

Since Specialization
Citations

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

Fields of papers citing papers by Tom Salsbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Salsbury

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 18
3 93
4 34
5 14
6 54
7 94
8 66
9
The development of semantic relations in second language speakers: A case for Latent Semantic Analysis
18
10 113
11 15
12 108
13 11
14 88
15
Using Teacher-Developed Corpora in the CBI Classroom.
6

About Tom Salsbury

Tom Salsbury is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Language and Linguistics, having authored 15 papers that have together received 736 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (13 papers), Natural Language Processing Techniques (10 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Developmental and Educational Psychology (576 citations), Language and Linguistics (288 citations) and Literature and Literary Theory (164 citations). Tom Salsbury has collaborated with scholars based in United States. Frequent co-authors include Scott A. Crossley, Danielle S. McNamara, Scott Jarvis, Nicholas Close Subtirelu, Joy Egbert, Stephen Skalicky and Nancy Bell. Their work appears in journals such as TESOL Quarterly, Language Learning and Applied Linguistics.

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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