Thomas Roche

2.0k citations
95 papers · 1.4k · h-index 20

Impact in

Papers in

Thomas Roche

89 papers receiving 1.3k citations

Peers

Thomas Roche
Comparison fields: 5 of 98
  • Hardware and Architecture 390
  • Artificial Intelligence 709
  • Computer Vision and Pattern Recognition 335
  • Signal Processing 140
  • Literature and Literary Theory 100
Replace Sangmin Park with:
Sangmin Park South Korea
Michael Hitchens Australia
Yoneo Yano Japan
Tzung-Shi Chen Taiwan
Norjihan Abdul Ghani Malaysia
Jesse James Garrett United States
Christian Guetl Austria
Allan L. Fisher United States
Maiga Chang Canada
Marc Eisenstadt United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Roche

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Roche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014124
2 201196
3 201272
4 201364
5 201262
6 197856
7 201154
8 201353
9 200646
10 201441
11 201338
12 202138
13 202233
14 201533
15 201432
16 201332
17
Assessing the role of digital literacy in English for academic purposes university pathway programs
201731
18 202123
19 201220
20 201320

About Thomas Roche

Thomas Roche is a scholar working on Artificial Intelligence, Education, Hardware and Architecture, Computer Vision and Pattern Recognition and Literature and Literary Theory, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (21 papers), Physical Unclonable Functions (PUFs) and Hardware Security (14 papers), Second Language Learning and Teaching (11 papers), Chaos-based Image/Signal Encryption (11 papers), Evaluation of Teaching Practices (10 papers), Online and Blended Learning (7 papers), EFL/ESL Teaching and Learning (7 papers) and Second Language Acquisition and Learning (6 papers). The work is most often cited by research in Hardware and Architecture (390 citations), Artificial Intelligence (709 citations), Computer Vision and Pattern Recognition (335 citations), Signal Processing (140 citations) and Literature and Literary Theory (100 citations). Thomas Roche has collaborated with scholars based in Australia, France and Ireland. Frequent co-authors include Emmanuel Prouff, Victor Lomné, Matthieu Rivain, Michael Harrington, Adrian Thillard, Elizabeth Goode, Jean-Sébastien Coron, Claude Carlet, Gilles Piret and Sameera Ahmed. Their work appears in journals such as Journal of Further and Higher Education, Australian Review of Applied Linguistics, Student Success, Higher Education Research & Development and Lecture notes in computer science.

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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