John Bateman

6.1k citations
213 papers · 3.8k · h-index 29

Impact in

Papers in

John Bateman

189 papers receiving 3.2k citations

Peers

John Bateman
Comparison fields: 5 of 116
  • Literature and Literary Theory 1.2k
  • Language and Linguistics 1.0k
  • Experimental and Cognitive Psychology 1.0k
  • Human-Computer Interaction 249
  • Visual Arts and Performing Arts 207
Replace Bertram C. Bruce with:
Bertram C. Bruce United States
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Richard Lehrer United States
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Citations per field
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Citations per year

Countries citing papers authored by John Bateman

Since Specialization
Citations

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

Fields of papers citing papers by John Bateman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Bateman, 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 John Bateman Line = papers co-authored together John Bateman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008240
2 2008205
3 2014196
4 2014165
5 2017162
6 2010149
7 2013138
8 1997134
9 2018134
10 2014121
11 2016101
12
Phrasing a text in terms the user can understand
198965
13 200164
14
Upper Modeling: organizing knowledge for natural language processing
199056
15 199755
16 201648
17 199546
18 201745
19 200742
20 201341

About John Bateman

John Bateman is a scholar working on Artificial Intelligence, Literature and Literary Theory, Language and Linguistics, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 213 papers that have together received 3.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (48 papers), Speech and dialogue systems (37 papers), Language, Metaphor, and Cognition (33 papers), Discourse Analysis in Language Studies (33 papers), Semantic Web and Ontologies (31 papers), Topic Modeling (24 papers), Translation Studies and Practices (18 papers) and Constraint Satisfaction and Optimization (13 papers). The work is most often cited by research in Literature and Literary Theory (1.2k citations), Language and Linguistics (1.0k citations), Experimental and Cognitive Psychology (1.0k citations), Human-Computer Interaction (249 citations) and Visual Arts and Performing Arts (207 citations). John Bateman has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Janina Wildfeuer, Tuomo Hiippala, Thora Tenbrink, Robert Ross, Judy Delin, Joana Hois, Chiao‐I Tseng, Cécile Paris, Duc-Son Pham and Andrew Vande Moere. Their work appears in journals such as Visual Communication, Functions of Language, Discourse Context & Media, Critical Discourse Studies and Machine Translation.

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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