Roger Garside

1.8k citations
24 papers · 1.2k · h-index 14

Impact in

Papers in

Roger Garside

22 papers receiving 1.0k citations

Peers

Roger Garside
Comparison fields: 5 of 84
  • Language and Linguistics 348
  • Artificial Intelligence 808
  • Linguistics and Language 98
  • Literature and Literary Theory 138
  • Developmental and Educational Psychology 120
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Citations per field
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Citations per year

Countries citing papers authored by Roger Garside

Since Specialization
Citations

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

Fields of papers citing papers by Roger Garside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Roger Garside, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roger Garside Line = papers co-authored together Roger Garside links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000406
2
Corpus Annotation: Linguistic Information from Computer Text Corpora
1997189
3 1994128
4 1988102
5
The tagged LOB Corpus : user's manual
1986100
6
Statistically-driven computer grammars of English : the IBM/LANCASTER approach
199358
7 200244
8 199335
9 200121
10 199620
11 199318
12 200017
13 199116
14
Assisting requirements engineering with semantic document analysis
200013
15 198312
16 200611
17 19847
18
Manual of Information for the Lancaster Parsed Corpus
19997
19 19855
20 19944

About Roger Garside

Roger Garside is a scholar working on Artificial Intelligence, Language and Linguistics, Information Systems, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Lexicography and Language Studies (8 papers), Translation Studies and Practices (3 papers), Second Language Acquisition and Learning (3 papers), Software Engineering Research (3 papers), Software Engineering Techniques and Practices (3 papers), Topic Modeling (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Language and Linguistics (348 citations), Artificial Intelligence (808 citations), Linguistics and Language (98 citations), Literature and Literary Theory (138 citations) and Developmental and Educational Psychology (120 citations). Roger Garside has collaborated with scholars based in United Kingdom, Ghana and Japan. Frequent co-authors include Paul Rayson, Geoffrey Leech, Tony McEnery, Michael Bryant, Ezra Black, Eric Atwell, Geoffrey Sampson, Carol A. Chapelle, Stig Johansson and Pete Sawyer. Their work appears in journals such as TESOL Quarterly, Transactions of the Philological Society, Information Systems Frontiers, Lecture notes in computer science and Medical Entomology and Zoology.

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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