John Tinsley
- Artificial Intelligence top 10%
- Language and Linguistics top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Molecular Biology
- Co-authors
- Andy WayIacer CalixtoJoss MoorkensSheila CastilhoFederico GaspariMary HearneJian ZhangYanjun Ma
- Topics
- Natural Language Processing Techniques (14 papers)Topic Modeling (14 papers)Text Readability and Simplification (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingChemistry & Biodiversity
- Partner nations
- IrelandUnited KingdomJapan
In The Last Decade
John Tinsley
14 papers receiving 191 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 199
- Language and Linguistics 41
- Computer Vision and Pattern Recognition 24
- Information Systems 21
- Molecular Biology 18
Countries citing papers authored by John Tinsley
This map shows the geographic impact of John Tinsley'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 Tinsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tinsley more than expected).
Fields of papers citing papers by John Tinsley
This network shows the impact of papers produced by John Tinsley. 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 Tinsley. The network helps show where John Tinsley may publish in the future.
Co-authorship network of co-authors of John Tinsley
This figure shows the co-authorship network connecting the top 25 collaborators of John Tinsley. A scholar is included among the top collaborators of John Tinsley 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 John Tinsley. John Tinsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Improving Robustness in Real-World Neural Machine Translation Engines | 1 |
| 2 | 117 | |
| 3 | Exploiting parallel corpus for handling out-of-vocabulary words | 1 |
| 4 | IPTranslator: Facilitating Patent Search with Machine Translation | 2 |
| 5 | Experiments on domain adaptation for patent machine translation in the PLuTO project | 20 |
| 6 | PLuTO: MT for On-Line Patent Translation | 10 |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | Exploiting Alignment Techniques in MATREX: the DCU Machine Translation System for IWSLT 2008 | 8 |
| 11 | Comparing Constituency and Dependency Representations for SMT Phrase-Extraction | 8 |
| 12 | 11 | |
| 13 | 12 | |
| 14 | Robust language pair-independent sub-tree alignment | 19 |
| 15 | 1 | |
| 16 | 1 |
About John Tinsley
John Tinsley is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Philosophy, having authored 16 papers that have together received 223 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (14 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Artificial Intelligence (199 citations), Language and Linguistics (41 citations) and Health Informatics (2 citations). John Tinsley has collaborated with scholars based in Ireland, United Kingdom and Japan. Frequent co-authors include Andy Way, Iacer Calixto, Joss Moorkens, Sheila Castilho, Federico Gaspari, Mary Hearne, Jian Zhang, Yanjun Ma, Páraic Sheridan and Jinhua Du. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Chemistry & Biodiversity.
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.