John Blitzer
- Artificial Intelligence top 0.1%
- Topic Modeling 18
- Natural Language Processing Techniques 13
- Text and Document Classification Technologies 5
- Machine Learning and Algorithms 4
- Domain Adaptation and Few-Shot Learning 4
- Advanced Text Analysis Techniques 3
- Semantic Web and Ontologies 3
- Signal Processing top 2%
- Media Technology top 2%
- Information Systems top 1%
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- Personal Information Management and User Behavior 4
- Co-authors
- Fernando PereiraKilian Q. WeinbergerMark DredzeLawrence K. SaulKoby CrammerAlex KuleszaRyan McDonaldJennifer Wortman Vaughan
- Journals
- Language Resources and Evaluation (1 paper)Machine Learning (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
John Blitzer
29 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Artificial Intelligence 5.2k
- Computer Vision and Pattern Recognition 2.4k
- Signal Processing 306
- Media Technology 203
- Information Systems 502
Countries citing papers authored by John Blitzer
This map shows the geographic impact of John Blitzer'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 Blitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Blitzer more than expected).
Fields of papers citing papers by John Blitzer
This network shows the impact of papers produced by John Blitzer. 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 Blitzer. The network helps show where John Blitzer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Blitzer, 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 | Latent structured ranking | 2012 | 6 |
| 2 | Co-Training for Domain Adaptation | 2011 | 256 |
| 3 | Domain Adaptation with Coupled Subspaces | 2011 | 62 |
| 4 | Learning Better Monolingual Models with Unannotated Bilingual Text | 2010 | 29 |
| 5 | 2010 | 39 | |
| 6 | 2009 | 80 | |
| 7 | Regularized Learning with Networks of Features | 2008 | 30 |
| 8 | Intelligent email: aiding users with AI | 2008 | 15 |
| 9 | 2008 | 21 | |
| 10 | Domain adaptation of natural language processing systems | 2008 | 37 |
| 11 | Frustratingly Hard Domain Adaptation for Dependency Parsing | 2007 | 57 |
| 12 | Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classificationbreakdown → | 2007 | 1314 |
| 13 | Learning Bounds for Domain Adaptation | 2007 | 215 |
| 14 | "Sorry, I Forgot the Attachment:" Email Attachment Prediction | 2006 | 2 |
| 15 | Domain adaptation with structural correspondence learningbreakdown → | 2006 | 985 |
| 16 | Distance Metric Learning for Large Margin Nearest Neighbor Classificationbreakdown → | 2005 | 1143 |
| 17 | Reply Expectation Prediction for Email Management. | 2005 | 13 |
| 18 | Distributed Latent Variable Models of Lexical Co-occurrences. | 2005 | 13 |
| 19 | Hierarchical Distributed Representations for Statistical Language Modeling | 2004 | 18 |
| 20 | 2003 | 78 |
About John Blitzer
John Blitzer is a scholar working on Artificial Intelligence, Information Systems and Management, Computer Vision and Pattern Recognition, Human-Computer Interaction and Information Systems, having authored 29 papers that have together received 6.7k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers), Text and Document Classification Technologies (5 papers), Personal Information Management and User Behavior (4 papers), Machine Learning and Algorithms (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Text Analysis Techniques (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (5.2k citations), Computer Vision and Pattern Recognition (2.4k citations), Signal Processing (306 citations), Media Technology (203 citations) and Information Systems (502 citations). John Blitzer has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Fernando Pereira, Kilian Q. Weinberger, Mark Dredze, Lawrence K. Saul, Koby Crammer, Alex Kulesza, Ryan McDonald, Jennifer Wortman Vaughan, Shai Ben-David and Minmin Chen. Their work appears in journals such as Language Resources and Evaluation, Machine Learning, ScholarWorks@UMassAmherst (University of Massachusetts Amherst), Empirical Methods in Natural Language Processing and North American Chapter of the Association for Computational Linguistics.
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.