Jonathan Weese
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 15
- Topic Modeling 14
- Speech and dialogue systems 3
- Algorithms and Data Compression 3
- Text Readability and Simplification 3
- Information Systems top 10%
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- Urological Disorders and Treatments 2
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- Renal cell carcinoma treatment 2
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Juri GanitkevitchChris Callison-BurchChris DyerLushan HanTim FininJames MayfieldAdam LopezLane Schwartz
- Journals
- Urology (4 papers)Advances in Urology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jonathan Weese
21 papers receiving 669 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 638
- Computer Vision and Pattern Recognition 53
- Information Systems 54
- Computer Science Applications 12
- Urology 13
Countries citing papers authored by Jonathan Weese
This map shows the geographic impact of Jonathan Weese'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 Jonathan Weese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Weese more than expected).
Fields of papers citing papers by Jonathan Weese
This network shows the impact of papers produced by Jonathan Weese. 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 Jonathan Weese. The network helps show where Jonathan Weese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Weese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 1 | |
| 2 | 2018 | 26 | |
| 3 | 2018 | 41 | |
| 4 | 2016 | 4 | |
| 5 | 2015 | 6 | |
| 6 | 2015 | 2 | |
| 7 | 2014 | 5 | |
| 8 | PARMA: A Predicate Argument Aligner | 2013 | 9 |
| 9 | Joshua 5.0: Sparser, Better, Faster, Server | 2013 | 16 |
| 10 | Processing Informal, Romanized Pakistani Text Messages | 2012 | 15 |
| 11 | Using Categorial Grammar to Label Translation Rules | 2012 | 5 |
| 12 | Joshua 4.0: Packing, PRO, and Paraphrases | 2012 | 23 |
| 13 | Joshua 3.0: Syntax-based Machine Translation with the Thrax Grammar Extractor | 2011 | 22 |
| 14 | cdec: A Decoder‚ Alignment‚ and Learning framework for finite−state and context−free translation models | 2010 | 176 |
| 15 | 2010 | 6 | |
| 16 | Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies | 2010 | 13 |
| 17 | 2010 | 4 | |
| 18 | Joshua: An open source toolkit for parsing-based machine translation | 2009 | 60 |
| 19 | 2009 | 6 | |
| 20 | 2009 | 112 |
About Jonathan Weese
Jonathan Weese is a scholar working on Artificial Intelligence, Urology, Rheumatology, Nephrology and Genetics, having authored 21 papers that have together received 756 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers), Speech and dialogue systems (3 papers), Algorithms and Data Compression (3 papers), Text Readability and Simplification (3 papers), Renal cell carcinoma treatment (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Artificial Intelligence (638 citations), Computer Vision and Pattern Recognition (53 citations), Information Systems (54 citations), Computer Science Applications (12 citations) and Urology (13 citations). Jonathan Weese has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Juri Ganitkevitch, Chris Callison-Burch, Chris Dyer, Lushan Han, Tim Finin, James Mayfield, Adam Lopez, Lane Schwartz, Omar F. Zaidan and Sanjeev Khudanpur. Their work appears in journals such as Urology, Advances in Urology, SHILAP Revista de lepidopterología, Workshop on Statistical Machine Translation and Edinburgh Research Explorer (University of Edinburgh).
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.