John Tinsley

431 total citations
16 papers, 223 citations indexed

About

John Tinsley is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, John Tinsley has authored 16 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in John Tinsley's work include Natural Language Processing Techniques (14 papers), Topic Modeling (14 papers) and Text Readability and Simplification (4 papers). John Tinsley is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (14 papers) and Text Readability and Simplification (4 papers). John Tinsley collaborates with scholars based in Ireland, United Kingdom and Japan. John Tinsley's co-authors include Andy Way, Iacer Calixto, Joss Moorkens, Sheila Castilho, Federico Gaspari, Mary Hearne, Jian Zhang, Yanjun Ma, Páraic Sheridan and Jinhua Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Chemistry & Biodiversity.

In The Last Decade

John Tinsley

14 papers receiving 191 citations

Peers

Countries citing papers authored by John Tinsley

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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16 of 16 papers shown

#	Work	Indexed citations
1	Improving Robustness in Real-World Neural Machine Translation Engines 2019 ·arXiv (Cornell University) ·(unknown), Patrik Lambert, (unknown), John Tinsley	1
2	Is Neural Machine Translation the New State of the Art? 2017 ·SHILAP Revista de lepidopterología ·Sheila Castilho, Joss Moorkens, Federico Gaspari, Iacer Calixto, John Tinsley, Andy Way	117
3	Exploiting parallel corpus for handling out-of-vocabulary words 2013 ·Waseda University Repository (Waseda University) ·Juan Luo, John Tinsley, Yves Lepage	1
4	IPTranslator: Facilitating Patent Search with Machine Translation 2012 ·Conference of the Association for Machine Translation in the Americas ·John Tinsley, (unknown), (unknown), (unknown), (unknown)	2
5	Experiments on domain adaptation for patent machine translation in the PLuTO project 2011 ·(unknown), John Tinsley, Jian Zhang, Andy Way	20
6	PLuTO: MT for On-Line Patent Translation 2010 ·Conference of the Association for Machine Translation in the Americas ·John Tinsley, Andy Way, Páraic Sheridan	10
7	Evaluating syntax-driven approaches to phrase extraction for MT 2009 ·Journal of Clinical Psychology in Medical Settings ·(unknown), (unknown), Declan Groves, John Tinsley	2
8	Parallel Treebanks in Phrase-Based Statistical MachineTranslation 2009 ·Chemistry & Biodiversity ·John Tinsley, Mary Hearne, Andy Way	3
9	Automatically generated parallel treebanks and their exploitability in machine translation 2009 ·Machine Translation ·John Tinsley, Andy Way	7
10	Exploiting Alignment Techniques in MATREX: the DCU Machine Translation System for IWSLT 2008 2008 ·Arrow@dit (Dublin Institute of Technology) ·Yanjun Ma, John Tinsley, Hany Hassan, Jinhua Du, Andy Way	8
11	Comparing Constituency and Dependency Representations for SMT Phrase-Extraction 2008 ·Arrow@dit (Dublin Institute of Technology) ·Mary Hearne, (unknown), John Tinsley	8
12	MaTrEx 2008 ·John Tinsley, Yanjun Ma, (unknown), Andy Way	11
13	Capturing translational divergences with a statistical tree-to-tree aligner. 2007 ·IEEE Transactions on Medical Imaging ·Mary Hearne, John Tinsley, (unknown), Andy Way	12
14	Robust language pair-independent sub-tree alignment 2007 ·Arrow@dit (Dublin Institute of Technology) ·John Tinsley, (unknown), Mary Hearne, Andy Way	19
15	Haralds Biezais, Editor, Religious Symbols and their functions, Almqvist and Wiksell International, Stockholm (1979). 1981 ·Religion ·John Tinsley	1
16	Communication, Or “Tell It Slant” 1979 ·Theology Today ·John Tinsley	1

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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