John Blitzer

12.7k citations
29 papers · 6.7k indexed · 4 hit papers · h-index 19

John Blitzer

29 papers receiving 6.3k citations

Hit Papers

A theory of learning from different domains2.0k200520262012201950010001.5k

Peers

John Blitzer
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
Replace Alex Kulesza with:
Alex Kulesza United States
Koby Crammer Israel
Arthur Gretton Germany
Yuxin Wu China
Razvan Pascanu United States
Timothy M. Hospedales United Kingdom
Brian Kulis United States
Agnieszka Grabska‐Barwińska United Kingdom
Sicheng Zhao China
Yang Yang China
John Blitzer relative to Alex Kulesza United States Alex Kulesza's profile →
Citations per field
00.5×1.5×2.2×
Alex Kulesza · 1×
Citations per year

Countries citing papers authored by John Blitzer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Blitzer Line = papers co-authored together John Blitzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Latent structured ranking
20126
2
Co-Training for Domain Adaptation
2011256
3
Domain Adaptation with Coupled Subspaces
201162
4
Learning Better Monolingual Models with Unannotated Bilingual Text
201029
5 201039
6 200980
7
Regularized Learning with Networks of Features
200830
8
Intelligent email: aiding users with AI
200815
9 200821
10
Domain adaptation of natural language processing systems
200837
11
Frustratingly Hard Domain Adaptation for Dependency Parsing
200757
12
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classificationbreakdown →
20071314
13
Learning Bounds for Domain Adaptation
2007215
14
"Sorry, I Forgot the Attachment:" Email Attachment Prediction
20062
15
Domain adaptation with structural correspondence learningbreakdown →
2006985
16
Distance Metric Learning for Large Margin Nearest Neighbor Classificationbreakdown →
20051143
17
Reply Expectation Prediction for Email Management.
200513
18
Distributed Latent Variable Models of Lexical Co-occurrences.
200513
19
Hierarchical Distributed Representations for Statistical Language Modeling
200418
20 200378

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.

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