Stephen Doherty

1.9k citations
49 papers · 923 indexed · h-index 16

Stephen Doherty

45 papers receiving 840 citations

Peers

Stephen Doherty
Comparison fields: 5 of 78
  • Language and Linguistics 427
  • Human-Computer Interaction 70
  • Experimental and Cognitive Psychology 152
  • Artificial Intelligence 363
  • Computer Science Applications 55
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Tetyana Sydorenko United States
Philip Hubbard United States
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Citations per year

Countries citing papers authored by Stephen Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20241
4 20241
5 20229
6 20222
7 20224
8 202012
9 201819
10 201839
11
The impact of translation technologies on the process and product of translation
201675
12
Translations| The Impact of Translation Technologies on the Process and Product of Translation
201616
13 201617
14 201584
15 201494
16
Mapping the industry I: Findings on translation technologies and quality assessment
20139
17
The CNGL-DCU-Prompsit Translation Systems for WMT13
20138
18 201310
19
A user-based usability assessment of raw machine translated technical instructions
20127
20
Can MT Output Be Evaluated Through Eye Tracking
200920

About Stephen Doherty

Stephen Doherty is a scholar working on Language and Linguistics, Human-Computer Interaction, Computer Science Applications, Medical Laboratory Technology and Developmental and Educational Psychology, having authored 49 papers that have together received 923 indexed citations. Recurring topics across this work include Subtitles and Audiovisual Media (11 papers), Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Translation Studies and Practices (7 papers), Mobile Learning in Education (5 papers), Second Language Acquisition and Learning (5 papers), Visual and Cognitive Learning Processes (4 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Language and Linguistics (427 citations), Human-Computer Interaction (70 citations), Experimental and Cognitive Psychology (152 citations), Artificial Intelligence (363 citations) and Computer Science Applications (55 citations). Stephen Doherty has collaborated with scholars based in Australia, Ireland and United States. Frequent co-authors include Dorothy Kenny, Jan‐Louis Kruger, Sharon O’Brien, Federico Gaspari, Michaël Carl, James F. Lee, Joss Moorkens, Andy Way, Elisa Perego and Pablo Romero-Fresco. Their work appears in journals such as The Journal of Specialised Translation, The Interpreter and Translator Trainer, Perspectives, Computer Assisted Language Learning and Journal of world history.

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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