Howard Johnson
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Algorithms and Data Compression
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 12
- Topic Modeling 12
- Semantic Web and Ontologies 5
- Text Readability and Simplification 4
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- Distributed and Parallel Computing Systems 1
- Co-authors
- Roland Kühn (8 shared papers)George Foster (8 shared papers)Joel Martin (4 shared papers)Michel Simard (3 shared papers)Boxing Chen (3 shared papers)Nicola Ueffing (1 shared paper)Eric Joanis (4 shared papers)Fatiha Sadat (2 shared papers)
- Journals
- NPARC (4 papers)Empirical Methods in Natural Language Processing (1 paper)Conference of the Association for Machine Translation in the Americas (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Howard Johnson
13 papers receiving 292 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 371
- Computer Vision and Pattern Recognition 34
- Signal Processing 7
- Information Systems 12
- Computer Networks and Communications 12
Countries citing papers authored by Howard Johnson
This map shows the geographic impact of Howard Johnson'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 Howard Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Johnson more than expected).
Fields of papers citing papers by Howard Johnson
This network shows the impact of papers produced by Howard Johnson. 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 Howard Johnson. The network helps show where Howard Johnson may publish in the future.
Co-authors
The 12 scholars most cited alongside Howard Johnson, 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 | Improving Translation Quality by Discarding Most of the Phrasetable | 2007 | 140 |
| 2 | 2006 | 81 | |
| 3 | 2007 | 24 | |
| 4 | 2005 | 21 | |
| 5 | 2003 | 21 | |
| 6 | 2003 | 20 | |
| 7 | Unpacking and Transforming Feature Functions: New Ways to Smooth Phrase Tables | 2011 | 19 |
| 8 | Lessons from NRC's Portage System at WMT 2010 | 2010 | 16 |
| 9 | A DBMS Facility for Handling Structured Engineering Entities. | 1983 | 13 |
| 10 | 2006 | 11 | |
| 11 | 2006 | 9 | |
| 12 | PORTAGE in the NIST 2009 MT Evaluation | 2009 | 3 |
| 13 | Conditional Significance Pruning: Discarding More of Huge Phrase Tables | 2012 | 1 |
About Howard Johnson
Howard Johnson is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Software and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 379 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers), Semantic Web and Ontologies (5 papers), Text Readability and Simplification (4 papers), Manufacturing Process and Optimization (1 paper), Distributed and Parallel Computing Systems (1 paper), Engineering and Information Technology (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (371 citations), Computer Vision and Pattern Recognition (34 citations), Signal Processing (7 citations), Information Systems (12 citations) and Computer Networks and Communications (12 citations). Howard Johnson has collaborated with scholars based in Canada and United States. Frequent co-authors include Roland Kühn, George Foster, Joel Martin, Michel Simard, Boxing Chen, Nicola Ueffing, Eric Joanis, Fatiha Sadat, Anna Maclachlan and Aaron Tikuisis. Their work appears in journals such as NPARC, Empirical Methods in Natural Language Processing and Conference of the Association for Machine Translation in the Americas.
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.