John Blitzer
Impact in
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Machine Learning and ELM
- Advanced Text Analysis Techniques
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 18
- Natural Language Processing Techniques 13
- Text and Document Classification Technologies 6
- Domain Adaptation and Few-Shot Learning 5
- Machine Learning and Algorithms 4
- Advanced Text Analysis Techniques 3
-
- Multimodal Machine Learning Applications 3
- Co-authors
- Fernando Pereira (11 shared papers)Koby Crammer (3 shared papers)Shai Ben-David (2 shared papers)Kilian Q. Weinberger (3 shared papers)Mark Dredze (6 shared papers)Lawrence K. Saul (2 shared papers)Alex Kulesza (2 shared papers)Ryan McDonald (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)Machine Learning (1 paper)Political Analysis (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
John Blitzer
31 papers receiving 8.5k citations
John Blitzer's Hit Papers
Peers
Comparison fields: 5 of 163
- Artificial Intelligence 6.9k
- Computer Vision and Pattern Recognition 3.2k
- Signal Processing 403
- Media Technology 264
- Information Systems 638
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-authors
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A theory of learning from different domains Hit paper breakdown → | 2009 | 2199 |
| 2 | Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification Hit paper breakdown → | 2007 | 1504 |
| 3 | Analysis of Representations for Domain Adaptation Hit paper breakdown → | 2007 | 1333 |
| 4 | Distance Metric Learning for Large Margin Nearest Neighbor Classification Hit paper breakdown → | 2005 | 1325 |
| 5 | Domain adaptation with structural correspondence learning Hit paper breakdown → | 2006 | 1120 |
| 6 | Co-Training for Domain Adaptation | 2011 | 275 |
| 7 | 2004 | 254 | |
| 8 | Learning Bounds for Domain Adaptation | 2007 | 241 |
| 9 | 2003 | 105 | |
| 10 | 2009 | 84 | |
| 11 | Domain Adaptation with Coupled Subspaces | 2011 | 72 |
| 12 | Frustratingly Hard Domain Adaptation for Dependency Parsing | 2007 | 63 |
| 13 | 2010 | 40 | |
| 14 | Domain adaptation of natural language processing systems | 2008 | 39 |
| 15 | Regularized Learning with Networks of Features | 2008 | 34 |
| 16 | Learning Better Monolingual Models with Unannotated Bilingual Text | 2010 | 31 |
| 17 | 2008 | 29 | |
| 18 | Hierarchical Distributed Representations for Statistical Language Modeling | 2004 | 23 |
| 19 | 2003 | 22 | |
| 20 | 2012 | 21 |
About John Blitzer
John Blitzer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Information Systems and Management and Sociology and Political Science, having authored 31 papers that have together received 8.9k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers), Text and Document Classification Technologies (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Algorithms (4 papers), Personal Information Management and User Behavior (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (6.9k citations), Computer Vision and Pattern Recognition (3.2k citations), Signal Processing (403 citations), Media Technology (264 citations) and Information Systems (638 citations). John Blitzer has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Fernando Pereira, Koby Crammer, Shai Ben-David, Kilian Q. Weinberger, Mark Dredze, Lawrence K. Saul, Alex Kulesza, Ryan McDonald, Jennifer Wortman Vaughan and Minmin Chen. Their work appears in journals such as Language Resources and Evaluation, Machine Learning, Political Analysis, International Conference on Artificial Intelligence and Statistics and Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).
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.